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Article

The Effects of Loving-Kindness Meditation Guided by Short Video Apps on Policemen’s Mindfulness, Public Service Motivation, Conflict Resolution Skills, and Communication Skills

1
School of Journalism and Communication, Hua Qiao University, Xiamen 361021, China
2
General Education Center, Mindfulness Meditation Center, Ming Chi University of Technology, New Taipei 243303, Taiwan
3
School of Education, City University of Macau, Macau, China
4
Department of Industrial Design, Chang Gung University, Taoyuan 33302, Taiwan
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Behav. Sci. 2025, 15(7), 909; https://doi.org/10.3390/bs15070909
Submission received: 28 May 2025 / Revised: 30 June 2025 / Accepted: 2 July 2025 / Published: 4 July 2025

Abstract

Police officers work in high-stress environments that demand emotional resilience, interpersonal skills, and effective communication. Occupational stress can negatively impact their motivation, conflict resolution abilities, and professional effectiveness. Loving-Kindness Meditation (LKM), a mindfulness-based intervention focused on cultivating compassion and empathy, has shown promise in enhancing prosocial attitudes and emotional regulation. With the rise of short video platforms, digital interventions like video-guided LKM may offer accessible mental health support for law enforcement. This study examines the effects of short video app-guided LKM on police officers’ mindfulness, public service motivation (PSM), conflict resolution skills (CRSs), and communication skills (CSSs). It aims to determine whether LKM can enhance these psychological and professional competencies. A randomized controlled trial (RCT) was conducted with 110 active-duty police officers from a metropolitan police department in China, with 92 completing the study. Participants were randomly assigned to either the LKM group (n = 46) or the waitlist control group (n = 46). The intervention consisted of a 6-week short video app-guided LKM program with daily 10 min meditation sessions. Pre- and post-intervention assessments were conducted using several validated scales: the Mindfulness Attention Awareness Scale (MAAS), the Public Service Motivation Scale (PSM), the Conflict Resolution Styles Inventory (CRSI), and the Communication Competence Scale (CCS). A 2 (Group: LKM vs. Control) × 2 (Time: Pre vs. Post) mixed-design MANOVA was conducted to analyze the effects. Statistical analyses revealed significant group-by-time interaction effects for PSM (F(4,177) = 21.793, p < 0.001, η2 = 0.108), CRS (F(4,177) = 20.920, p < 0.001, η2 = 0.104), and CSS (F(4,177) = 49.095, p < 0.001, η2 = 0.214), indicating improvements in these areas for LKM participants. However, no significant improvement was observed for mindfulness (F(4,177) = 2.850, p = 0.930, η2 = 0.016). Short video app-guided LKM improves public service motivation, conflict resolution skills, and communication skills among police officers but does not significantly enhance mindfulness. These findings suggest that brief, digitally delivered compassion-focused programs can be seamlessly incorporated into routine in-service training to strengthen officers’ prosocial motivation, de-escalation competence, and public-facing communication, thereby fostering more constructive police–community interactions.

1. Introduction

The role of law enforcement officers, particularly policemen, is multifaceted and demanding (Karaffa & Koch, 2016; Toch, 2002). Policemen are often required to operate in high-stress environments where emotional resilience, mindfulness, and strong interpersonal skills are critical for effective performance (M. S. Christopher et al., 2016; McCreary & Thompson, 2006). However, given the nature of their work, police officers are also at a heightened risk of experiencing occupational stress, burnout, and emotional exhaustion, which can impact their job satisfaction, motivation, and overall well-being (McCarty et al., 2019). Therefore, enhancing mental resilience, emotional intelligence, and communication skills is essential not only for police officers’ personal development but also for sustaining effective public service, as these qualities are consistently linked to improved stress management, interpersonal functioning, and occupational performance in high-stress professions (Arnetz et al., 2009; Bar-On, 2006; Petrides & Furnham, 2006).
With the growing accessibility of digital technology, short video apps have emerged as powerful tools for delivering mental health interventions (Firth et al., 2017; Naslund et al., 2020). These apps can guide mindfulness practices such as Loving-Kindness Meditation (LKM), a form of meditation rooted in generating compassion and empathy toward oneself and others (Hofmann et al., 2011; Kirby et al., 2017). Research suggests that LKM can enhance mindfulness (Fredrickson et al., 2008), emotional regulation (Hutcherson et al., 2008), and prosocial behavior (Boellinghaus et al., 2014), making it a promising approach for law enforcement personnel who regularly engage with the public (Luberto et al., 2018). Additionally, prior studies highlight that LKM promotes self-compassion, which is a key psychological mechanism that can mitigate occupational stress and enhance emotional resilience (Eriksson et al., 2018; Matos et al., 2016; K. D. Neff & Germer, 2013). Self-compassion has been shown to improve emotional regulation (K. Neff, 2003), reduce self-criticism (Gilbert & Procter, 2006) and foster greater interpersonal understanding (K. D. Neff & Beretvas, 2013)—critical elements for police officers in managing public interactions under pressure.
Building on prior research demonstrating that Loving-Kindness Meditation (LKM) can enhance psychological functioning and prosocial behavior (Fredrickson et al., 2008; Seppala et al., 2014), this study seeks to examine the effectiveness of short video app-guided LKM interventions in improving key psychological and professional competencies among policemen, including mindfulness, public service motivation, conflict resolution skills, and communication skills—capacities known to be critical for effective policing under stress (Arnetz et al., 2009).

1.1. Loving-Kindness Meditation (LKM) and Its Psychological Benefits

Loving-Kindness Meditation (LKM) has been widely studied in the context of emotional regulation, empathy, and stress resilience (Hofmann et al., 2011). Research suggests that LKM fosters compassion and reduces negative affect, contributing to overall psychological well-being (Zeng et al., 2015; Zhou et al., 2023). Specifically, LKM fosters emotional regulation by helping individuals reframe negative affect and cultivate prosocial attitudes (Hofmann et al., 2011). In high-stress occupations—such as healthcare, where workers face life-or-death decisions and compassion fatigue, and law enforcement, where officers encounter acute threats and chronic organizational stress—mindfulness-based interventions, including LKM, have been associated with greater psychological resilience, lower physiological stress reactivity, and improved coping strategies (Arnetz et al., 2009; M. S. Christopher et al., 2016).
Beyond its psychological benefits, LKM has also been found to influence interpersonal effectiveness and prosocial behavior. Studies indicate that engaging in LKM strengthens public service motivation and enhances individuals’ willingness to serve their communities (Gilbert, 2017; Schutte & Malouff, 2018). Furthermore, a growing body of research suggests that LKM enhances self-compassion, a psychological resource shown to buffer against burnout, increase job satisfaction, and strengthen interpersonal functioning in emotionally demanding professions such as policing and healthcare (Eriksson et al., 2018; K. D. Neff & Germer, 2013). These effects are particularly relevant in law enforcement, where officers are frequently required to regulate emotion under pressure and maintain high-quality public interactions. Self-compassion enables individuals to extend kindness toward themselves in stressful situations, reducing emotional exhaustion—a common challenge in law enforcement. By integrating self-compassion into LKM training, police officers may cultivate a more adaptive response to occupational stressors, leading to greater professional effectiveness.
Additionally, mindfulness-based practices have been associated with improved communication skills, particularly in high-pressure workplace environments (Schutte & Malouff, 2018; Songmetta et al., 2025). These findings suggest that LKM may serve as a valuable tool for improving emotional well-being and professional competencies in demanding occupational settings.

1.1.1. Conceptual Definitions: Self-Compassion and Mindfulness

Self-compassion refers to an individual’s ability to treat oneself with kindness and understanding during times of failure or distress. It comprises three core components: self-kindness versus self-judgment, common humanity versus isolation, and mindfulness versus over-identification (K. Neff, 2003). Mindfulness, on the other hand, is defined as purposeful, present-moment awareness that is non-judgmental and accepting (Kabat-Zinn & Hanh, 2009). While the two constructs are conceptually distinct, they are strongly interconnected—mindfulness facilitates awareness of suffering, and self-compassion provides an emotionally supportive response to that suffering.
Theoretically, self-compassion has been viewed as a construct that encompasses both mindfulness and a caring attitude toward oneself. Mindfulness provides the clarity of awareness, while self-compassion adds the dimension of warmth and care (C. K. Germer & Neff, 2013). Meta-analyses have found correlations between the two ranging from 0.55 to 0.70 (Marsh et al., 2018), and evidence suggests that self-compassion mediates the beneficial effects of mindfulness on psychological well-being and occupational functioning (Crego et al., 2022). In high-stress occupations such as policing, mindfulness helps individuals recognize stressors, while self-compassion buffers against emotional exhaustion and fosters long-term motivation and prosocial behavior.

1.1.2. Their Interrelationship and Empirical Evidence

Theoretically, self-compassion has been viewed as a construct that encompasses both mindfulness and a caring attitude toward oneself. Mindfulness provides the clarity of awareness, while self-compassion adds the dimension of warmth and care (C. Germer, 2009). Meta-analyses have found correlations between the two ranging from 0.55 to 0.70 (Marsh et al., 2018), and evidence suggests that self-compassion mediates the beneficial effects of mindfulness on psychological well-being and occupational functioning (Conversano et al., 2020). In high-stress occupations such as policing, mindfulness helps individuals recognize stressors, while self-compassion buffers against emotional exhaustion and fosters long-term motivation and prosocial behavior.

1.2. LKM in High-Stress Professions: Implications for Law Enforcement

While extensive research supports the psychological benefits of LKM, its application within law enforcement remains underexplored. Police officers frequently encounter high-pressure decision-making scenarios and interpersonal conflicts, making mindfulness-based interventions particularly relevant for this profession (Jameson, 2023). Numerous studies in high-stress occupations such as healthcare and education have shown that mindfulness-based interventions, including LKM, can aid in emotion regulation, enhance decision-making, and improve workplace interactions (Burton et al., 2017; Hülsheger et al., 2013). However, there remains a critical research gap regarding the applicability of LKM delivered via mobile or short video platforms specifically for law enforcement personnel. Given the unique stressors and public-facing responsibilities of police officers, this study addresses an urgent need to explore scalable, time-efficient interventions that can strengthen psychological resilience and professional competence in this population.
Despite these promising findings, little is known about the specific mechanisms through which LKM affects police officers’ public service motivation, communication skills, and conflict resolution abilities. Previous research has primarily focused on mindfulness interventions in general workplace settings, leaving a gap in understanding how such practices translate to law enforcement roles (Schutte & Malouff, 2018). Given the unique demands of policing—such as managing public interactions under stress, navigating ethical dilemmas, and resolving interpersonal conflicts—examining LKM’s impact within this context is critical for both theoretical development and practical applications (Gilbert, 2017; Pratscher et al., 2018).

1.3. Theoretical Framework and Mechanisms of LKM Impact

This study is grounded in Self-Determination Theory (SDT) and Social Learning Theory (SLT) to explain the mechanisms through which Loving-Kindness Meditation (LKM) may influence public service motivation (PSM), conflict resolution skills, and communication skills among police officers.

1.3.1. Self-Determination Theory (SDT) and LKM

Self-Determination Theory posits that human motivation is driven by three fundamental psychological needs: autonomy, competence, and relatedness (Ryan & Deci, 2017). In professional contexts, particularly in public service professions such as policing, intrinsic motivation plays a critical role in determining work engagement and interpersonal behaviors (Peetz & Milyavskaya, 2021).
As a mindfulness-based intervention, LKM aligns with Self-Determination Theory (SDT) by promoting a sense of relatedness through compassion-oriented practices (Deci & Ryan, 2000). Research has shown that LKM fosters kindness toward the self and others, reduces hostility and negative affect (Hofmann et al., 2011), and may enhance prosocial values such as public service motivation (PSM), which is critical for sustaining officers’ dedication to community service (Perry & Hondeghem, 2008). Additionally, by promoting autonomy in emotional regulation and improving competence in managing interpersonal conflicts, LKM may indirectly improve officers’ conflict resolution skills and communication abilities (Rehman et al., 2024).
Furthermore, SDT suggests that intrinsic motivation is more sustainable than extrinsic reinforcement in promoting behavioral changes (Boyle & Mosewich, 2021). In this study, we hypothesize that LKM fosters long-term prosocial behavior by reinforcing internalized values of empathy and social responsibility, which are essential in law enforcement roles (Galante et al., 2016). Additionally, the integration of self-compassion into LKM aligns with SDT by fulfilling the need for emotional well-being, allowing officers to develop a stronger sense of self-efficacy and resilience when navigating professional challenges (K. D. Neff, 2011). This theoretical connection provides a strong justification for including public service motivation (PSM), conflict resolution skills, and communication skills as key outcome variables.

1.3.2. Social Learning Theory (SLT) and LKM Delivery

Social Learning Theory emphasizes the role of observational learning, modeling, and reinforcement in shaping behavior (Bandura, 2018). SLT is particularly relevant to the delivery method of LKM in this study, as the intervention was conducted through video-guided meditation sessions. According to SLT, individuals learn prosocial behaviors not only through direct experience but also by observing and imitating others who demonstrate such behaviors (Ellingson et al., 2019).
In the context of police training, structured mindfulness interventions such as LKM offer an opportunity for officers to observe, internalize, and replicate compassionate behaviors in their professional interactions (Grupe et al., 2021a). This aligns with previous research showing that mindfulness-based interventions delivered via digital platforms can effectively model prosocial behaviors and reinforce self-regulation strategies (Bailey, 2019).
To maximize the effectiveness of the short video format used in our study, the LKM sessions were designed based on key principles of Social Learning Theory (SLT), incorporating guided modeling, reinforcement through repetition, and self-reflective practice (Vadvilavičius et al., 2023). Guided modeling was implemented by providing explicit instructions on mindfulness techniques tailored for high-stress environments, allowing officers to observe and internalize effective coping strategies (Stern, 2019). Reinforcement through repetition was achieved by structuring the intervention into daily 10 min sessions and weekly 30 min deep practice sessions, ensuring consistent engagement and skill retention. Additionally, self-reflective practice was encouraged through post-meditation journaling, enabling participants to reinforce learned concepts and enhance metacognitive awareness (Snyder et al., 2013). By integrating both Self-Determination Theory (SDT) and SLT, our study builds on existing psychological frameworks to explain how LKM fosters intrinsic motivation (SDT-based) and behavioral learning (SLT-based), ultimately contributing to improvements in public service motivation, conflict resolution skills, and communication abilities among police officers (Berry et al., 2020). In particular, this study extends existing research by incorporating self-compassion as a key psychological mechanism underlying the benefits of LKM, examining its potential role in buffering stress and enhancing officers’ professional competencies.

1.3.3. Theoretical Framework

Based on the above theoretical rationale, we conceptualize self-compassion as a key psychological mechanism in the pathway from mindfulness to enhanced professional functioning. In this study, the LKM-based short video intervention is expected to first activate mindfulness and then enhance self-compassion, which in turn is hypothesized to reduce emotional exhaustion and improve prosocial motivation and communication efficacy. We also present the correlation matrix of self-compassion and outcome variables in Section 3 to support this model.

1.4. Purpose of the Study

The purpose of this study is to investigate the effects of LKM guided by short video apps on policemen’s mindfulness, public service motivation, conflict resolution skills, and communication skills. By examining these outcomes, this study aims to contribute to the growing literature on mindfulness interventions in high-stress professions and to explore scalable solutions for improving the well-being and interpersonal effectiveness of police officers. In particular, this study extends existing research by incorporating self-compassion as a key psychological mechanism underlying the benefits of LKM, examining its potential role in buffering stress and enhancing officers’ professional competencies.
Based on the literature and theoretical considerations, we propose the following hypotheses:
Hypothesis 1 (H1). 
LKM intervention will significantly improve participants’ mindfulness.
Hypothesis 2 (H2). 
LKM intervention will significantly improve participants’ public service motivation.
Hypothesis 3 (H3). 
LKM intervention will significantly improve participants’ conflict resolution skills.
Hypothesis 4 (H4). 
LKM intervention will significantly improve participants’ communication skills.

2. Method

2.1. Participants

The participants in this study were active-duty police officers from a metropolitan police department in China (Figure 1). Recruitment information was disseminated through the department’s internal communication channels, where the study was described as a stress-relief and self-awareness program aimed at enhancing compassion, mindfulness, and interpersonal skills (Bailey, 2019). A total of 200 active-duty police officers from a metropolitan police department in China were invited to participate in this study. These officers were selected through convenience sampling, using the department’s internal communication channels. Of the 200 invited, 110 officers voluntarily agreed to join, and 92 completed both pre- and post-intervention assessments. The sample was composed of 71.7% males (n = 66) and 28.3% females (n = 26), with an average age of 35.22 years (SD = 3.19).
Inclusion criteria required participants to be active-duty officers aged 21 or older and fluent in Mandarin Chinese. Exclusion criteria included a history of diagnosed mental health disorders (such as major depression, anxiety disorders, or post-traumatic stress disorder (PTSD) and prior experience with meditation practices (M. Christopher et al., 2020).
To better understand the demographic characteristics of the sample, we collected additional background information. Participants had varying years of police service: 30% had 1–5 years of experience, 45% had 6–10 years, and 25% had over 10 years of service. Regarding prior experience with mindfulness practices, 25% of officers reported having engaged in mindfulness activities such as breath meditation or mindful walking before the study, while 75% had no prior exposure to mindfulness training (Morley et al., 2021). Given the voluntary nature of participation, we acknowledge that self-selection bias may be present, potentially influencing the representativeness of the sample (Vonderlin et al., 2020). Future research should aim to include a broader range of participants to enhance generalizability.
A total of 92 participants completed the intervention and were randomly assigned to either the LKM intervention group (n = 46) or the control group (n = 46). The demographic details of the participants are presented in Table 1. No significant differences were found in age, gender, or other demographic factors between the two groups (Withrow et al., 2024).

2.2. Instruments

The questionnaire used in this study consisted of four main sections: mindfulness, public service motivation, conflict resolution skills, and communication skills. All variables were measured using established scales, with minor adaptations to fit the context of police work. Participants responded to each item using a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree). To ensure the accuracy and validity of the questionnaire, a strict back-translation process was conducted, following established protocols to adapt the scales for Chinese-speaking participants.

2.2.1. Mindfulness Scale

Mindfulness was assessed using the Mindfulness Attention Awareness Scale (MAAS), originally developed by Brown and Ryan (2003) and adapted for this study to reflect relevant aspects of mindfulness in police work (Brown & Ryan, 2003). The scale consists of 15 items that measure participants’ open and receptive awareness of present-moment experiences. All items were rated on a 5-point Likert scale ranging from 1 (“Almost Never”) to 5 (“Almost Always”), with higher scores indicating a higher level of dispositional mindfulness. The MAAS demonstrated strong internal consistency in the current study (Cronbach’s α = 0.89).
The MAAS was selected for this study due to its unidimensional focus on present-moment attention and awareness, which aligns closely with the core cognitive processes most relevant to law enforcement contexts. Compared to multidimensional measures like the Five Facet Mindfulness Questionnaire (Baer et al., 2006), the MAAS is more concise and has demonstrated strong psychometric properties in occupational populations, including those experiencing high levels of stress. Additionally, its singular structure allows for cleaner integration into structural models, particularly those involving meditation.

2.2.2. Public Service Motivation Scale

Public service motivation was measured using the Public Service Motivation Scale (PSM), initially developed by Coursey and Pandey (2007) and modified to assess motivation specific to public service roles (Coursey & Pandey, 2007). The scale includes 10 items covering three core dimensions: compassion, self-sacrifice, and commitment to the public good. All items were rated on a 5-point Likert scale ranging from 1 (“Strongly Disagree”) to 5 (“Strongly Agree”), with higher scores indicating stronger public service motivation. The PSM demonstrated excellent internal consistency in this study (Cronbach’s α = 0.91).

2.2.3. Conflict Resolution Skills Scale

Conflict resolution skills were measured using the Conflict Resolution Styles Inventory (CRSI). The scale was designed by Kurdek for the policing environment of this study (Kurdek, 1994). The scale includes 4 items that evaluate participants’ abilities to manage and de-escalate conflicts, with a focus on empathy, active listening, and collaborative problem-solving. All items were rated on a 5-point Likert scale ranging from 1 (“Strongly Disagree”) to 5 (“Strongly Agree”), with higher scores indicating stronger conflict resolution skills. The CRSI demonstrated satisfactory internal consistency in this study (Cronbach’s α = 0.87).

2.2.4. Communication Skills Scale

Communication skills were assessed using the Communication Competence Scale (CCS). The scale was designed by John M. Wiemann (1977) and adapted for use with police officers to measure essential communication skills such as clarity, empathy, and effectiveness in interactions with the public (Wiemann, 1977). The scale consists of 36 items assessing dimensions such as clarity, empathy, responsiveness, and effectiveness in interactions with the public. All items were rated on a 5-point Likert scale ranging from 1 (“Strongly Disagree”) to 5 (“Strongly Agree”), with higher scores indicating greater communication competence. The CCS demonstrated excellent internal consistency in the current study (Cronbach’s α = 0.93).

2.3. Short Video-App-Guided Loving-Kindness Meditation Intervention

The intervention consisted of a series of short video sessions focused on Loving-Kindness Meditation (LKM), delivered over a 6-week period via a mobile app. Each session was structured to guide participants through practices designed to cultivate compassion, empathy, and emotional awareness, with a particular focus on enhancing interpersonal skills relevant to police work. The intervention was developed in collaboration with mindfulness experts and adapted specifically for the needs of law enforcement professionals (Hofmann et al., 2011).
In addition to the guided LKM sessions, the app also included supplementary content aimed at enhancing participants’ understanding and engagement with mindfulness principles. Specifically, the app provided psychoeducational modules that introduced the theoretical background and benefits of LKM in law enforcement contexts, emphasizing its role in emotional regulation, stress management, and interpersonal communication (Shapiro et al., 2005). Furthermore, participants were encouraged to engage in self-reflection exercises following each meditation session, which involved digital journaling prompts designed to reinforce key insights and track personal progress (K. D. Neff, 2011). Additionally, the app incorporated interactive elements such as automated reminders, motivational messages, and access to a facilitator for inquiries and guidance. These features aimed to create a more immersive and supportive learning experience, reinforcing the core objectives of the intervention beyond the direct meditation practice (Brown & Ryan, 2003).
LKM follows a series of steps where the practitioner imagines the object of loving-kindness and extends four blessings: wishing them to have no enemies, wishing them to experience no pain, wishing them to have no illness, and wishing them to possess happiness. The typical sequence of target selection for LKM follows this order: first, bless yourself; then bless those you like; next, bless neutral individuals; followed by blessing those who make you angry; and finally, equally bless yourself, those you like, neutral people, and those you dislike, extending blessings to all people.
Participants in the control group were placed on a waitlist and continued their regular patrol and administrative duties throughout the four-week intervention period. They did not receive any mindfulness or emotional skills training. However, to minimize differences in researcher contact across conditions, the control group received weekly reminder emails that contained only neutral administrative content and no psychological materials. All control participants completed the same pre- and post-intervention assessments as the experimental group.

2.3.1. Session Structure and Content

The short video application of LKM consisted of animation-guided LKM to conduct the online LKM intervention training. Participants were asked to do the following: (1) Psychoeducation on LKM (5 min): Sessions began with a brief introduction to the psychological foundations of LKM, emphasizing its benefits for emotional regulation, stress management, and interpersonal relationships in both professional and personal contexts. (2) LKM Practice (30 min): Participants engaged in guided meditation exercises incorporating focused attention, visualization of receiving and extending compassion, and practicing empathy toward individuals with whom they had experienced conflict. These exercises aimed to cultivate mindfulness, foster a compassionate mindset, and promote positive attitudes toward public service. (3) Reflection and Journaling (15 min): After each session, participants recorded their thoughts and experiences in a digital journal, reflecting on how LKM influenced their emotions and interactions. To reinforce the intervention’s impact, they were encouraged to apply LKM principles in their daily lives through informal compassion-based exercises.

2.3.2. Compliance and Tracking

To encourage adherence, participants received daily reminders through the app and were prompted to log their session completion each day. The research team monitored completion rates, and participants who completed at least 80% of the sessions over the 6-week period were considered fully compliant. Additionally, participants completed a weekly reflection journal in the app, documenting their experiences, challenges, and perceived changes over the course of the intervention (Shapiro et al., 2005).

2.3.3. Facilitator Support

Although the intervention was primarily app-guided, participants had access to a facilitator via a chat function within the app. The facilitator, a certified mindfulness practitioner, provided support by answering questions, offering additional resources, and encouraging participants to reflect on their progress and challenges. This support was designed to enhance engagement and deepen the impact of the LKM practice by providing personalized guidance throughout the intervention (K. D. Neff, 2011).

2.3.4. Usability Evaluation

To assess the usability and acceptance of the short video app intervention, participants in the LKM group completed a post-intervention survey evaluating their views on the short video intervention. The survey used a self-report questionnaire that covered the usability, user-friendliness, emotional experience, and stress-relief effects of the intervention. The questionnaire was scored using a dichotomous scale (1 = Yes, 2 = No) and included several open-ended questions that allowed participants to provide additional feedback. The specific items and results are shown in Table 2.

2.4. Procedures and Design

The Loving-Kindness Meditation (LKM) intervention was delivered via a mobile application, enabling participants to engage in guided meditation sessions individually on their smartphones. These include not only guided LKM courses, but also psychoeducational materials, self-reflection exercises, and interactive engagement functions-additional components designed to enhance the learning experience and support participants’ emotional regulation, stress management, and professional interaction. Prior to the intervention, all participants attended a virtual onboarding session facilitated by the research team. This session provided an overview of the study’s objectives, (Winter et al., 2020) detailed instructions on app navigation and a demonstration of how to log meditation activities. Additionally, participants had the opportunity to ask questions and familiarize themselves with the app’s interface.

2.4.1. The Intervention Lasted for Six Weeks and Consisted of the Following Structured Components

  • Daily Meditation Sessions: Participants completed 10 min guided LKM sessions daily through the mobile application (Luberto et al., 2018).
  • Weekly Extended Sessions: In addition to daily practice, participants engaged in one 30 min meditation session each week to deepen their practice (Demarzo et al., 2015).
  • Reminders and Facilitator Support: To encourage adherence, the app sent automated daily reminders. Furthermore, a mindfulness facilitator was available through the app’s chat function to provide ongoing support and answer any participant inquiries (Cavanagh et al., 2014).
  • Customization for Law Enforcement Officers: The LKM content was specifically tailored to the law enforcement context, incorporating real-life scenarios relevant to police officers, such as fostering compassion during high-stress situations, enhancing resilience in the face of job-related challenges, and managing interpersonal conflicts with empathy (M. Christopher et al., 2020).

2.4.2. Adherence Monitoring and Engagement Metrics

To assess engagement and adherence, multiple tracking mechanisms were implemented:
Application Log Data: The app recorded log-in timestamps and session completion rates to monitor participant engagement (Stratton et al., 2021).
Dwell Time Analysis: The duration of each session was logged to determine whether participants completed the full meditation exercises (Lyzwinski et al., 2018). Post-Session Journaling: Participants were required to submit a brief reflection journal entry following each session. Completion rates for these entries were analyzed as an additional measure of adherence (Goldberg et al., 2022).
Incentives for Participation: To promote sustained engagement throughout the intervention, participants who successfully completed at least 80% of the daily meditation sessions and all weekly sessions received a digital certificate of completion (Demarzo et al., 2015). Additionally, they were entered into a draw for professional development training credits, an incentive particularly relevant for law enforcement personnel (Cavanagh et al., 2014).
Please refer to Table 3 for detailed information.

3. Results

To assess the feasibility and acceptability of the intervention, participants completed a post-intervention survey evaluating their perceptions of the LKM program. The results indicated that 83% of participants found the short-video format to be user-friendly and convenient for integration into their daily routines. Furthermore, 79% of participants reported enjoying the guided LKM sessions, citing increased emotional awareness and stress relief as primary benefits. Regarding usability, 76% of participants rated the intervention as highly practical for law enforcement professionals, and 72% stated they would recommend it to their colleagues. Open-ended responses further revealed that participants appreciated the intervention’s accessibility, though some suggested that additional interactive elements, such as real-time discussions or live coaching sessions, could enhance engagement.
In this study, a two-arm randomized controlled trial design of 2 (Group: LKM, Control) × 2 (Time: Pre, Post) was adopted, and MANOVA was used to examine the different effects of experimental intervention on MAAS, PSM, CRS, and CSS scores of subjects in the two groups. Descriptive statistics of the results are shown in Table 4.
The results of the multivariate tests showed that there was a significant main effect on the Group: F(4,177) = 13.363, p < 0.001, η2 = 0.232; a significant main effect on Time: F(4,177) = 6.440, p < 0.001, η2 = 0.127; and a significant interaction effect between Group and Time: F(4,177) = 15.572, p < 0.001, η2 = 0.260. The results of the Between-Subjects Effects tests are shown in Table 5.
The correlations of the measured variables are presented in Table 6.
From the results of Table 3, there were significant interaction effects between Group and Time in the three measures (PSM, CRS, and CSS). These interaction effects are shown in more detail in Figure 2.
It can be seen from the above results that the LKM experimental intervention significantly improves the level of subjects’ public service motivation, conflict resolution skills, and communication skills. Therefore, all the hypotheses were supported. However, it is worth noting that LKM intervention did not significantly improve the level of mindfulness of participants in the LKM group.
The effect size for CSS (η2 = 0.214) is particularly noteworthy, exceeding the average effect sizes found in previous research on law enforcement personnel (Luberto et al., 2020). This may suggest that LKM’s emphasis on fostering interpersonal compassion enhances communication effectiveness beyond general mindfulness training. However, the effect sizes for PSM (η2 = 0.108) and CRS (η2 = 0.104) fall within the expected range based on prior research (M. Christopher et al., 2020). These findings highlight the potential of LKM for improving communication skills in high-stress professions but also indicate that future interventions might benefit from incorporating complementary training, such as breath awareness meditation, to further enhance mindfulness-related outcomes (Hofmann et al., 2011).

Adherence and Its Association with Outcomes

Among participants in the LKM group, adherence was high: 87% completed at least 80% of the daily sessions, and 91% completed all six weekly 30 min sessions. To further understand the role of adherence in intervention outcomes, Pearson correlation analyses were conducted between adherence rate and the change scores (post-pre) of PSM, CRS, and CSS.
The results revealed significant positive correlations between adherence rate and improvements in:
Public service motivation (r = 0.42, p < 0.01), conflict resolution skills (r = 0.38, p < 0.01), and communication skills (r = 0.45, p < 0.001).
These findings suggest that higher engagement with the LKM intervention was associated with greater improvements in professional competencies.

4. Discussion

4.1. LKM’s Lack of Impact on Mindfulness

Despite the similarities between mindfulness and Loving-Kindness Meditation (LKM), such as fostering emotional regulation and self-awareness, these two practices have distinct focal points and mechanisms. According to Self-Determination Theory (SDT), the development of mindfulness often requires a high level of intrinsic motivation and a commitment to autonomous, sustained practice (Chiou et al., 2021). Mindfulness meditation specifically involves cultivating present-moment awareness, a process that demands ongoing, intentional engagement with one’s thoughts and sensations. In contrast, LKM emphasizes the cultivation of compassion and positive regard for others, focusing more on building empathy than on present-moment awareness (Liu et al., 2021). While mindfulness involves moment-to-moment awareness without judgment, LKM primarily enhances emotional connectivity, which may not directly translate into improved mindfulness in the traditional sense. For police officers who may not have prior training in mindfulness techniques, LKM alone may not be sufficient for cultivating mindfulness, as they may lack the specific focus and techniques that mindfulness training requires.
From the perspective of Social Learning Theory (SLT), the development of mindfulness requires establishing habitual behaviors through continuous practice rather than solely cultivating compassion (Liu et al., 2023). Mindfulness is a skill that typically requires regular reinforcement and specific mental exercises focused on observing and accepting one’s thoughts and emotions without judgment (Luberto et al., 2020). LKM, delivered in short video format, may lack the depth and structure necessary to foster these mindfulness skills effectively (M. S. Christopher et al., 2018). Traditional mindfulness training often involves guided, structured sessions that help practitioners build consistent habits of present-moment awareness, a skill set that requires professional guidance and sustained practice to fully develop (Garland et al., 2015). Given that the LKM sessions in this study were relatively brief and delivered via short video formats, the intervention may not have provided sufficient engagement to facilitate substantial changes in mindfulness. Future research could explore hybrid interventions that combine LKM with structured mindfulness training to examine whether this integration enhances both compassion and mindfulness. As a result, while LKM can enhance emotional regulation through compassion, it may not provide the necessary tools for cultivating the specific qualities of mindfulness.
Furthermore, compared with other studies, the LKM intervention in this study was delivered through short video-guided sessions rather than in-person instruction or extended meditation practice (K. D. Neff & Germer, 2013). Some studies have indicated that short-term LKM training may be more effective in improving emotional regulation and empathy, but may require additional training support for fostering long-term mindfulness awareness. Future research could consider integrating LKM with traditional mindfulness meditation (such as breath awareness training) or extending the intervention duration to assess whether it can significantly enhance mindfulness.
In conclusion, this study found that LKM effectively improved police officers’ public service motivation, conflict resolution skills, and communication abilities, but its impact on mindfulness was relatively limited. Future studies could further explore the effects of combining LKM with other mindfulness training approaches or examine how individual baseline characteristics influence the effectiveness of LKM in enhancing mindfulness (H. Chen et al., 2023).

4.2. LKM’s Effect on Public Service Motivation (PSM)

The current study found that Loving-Kindness Meditation (LKM) significantly enhanced public service motivation (PSM) among police officers, a finding that can be explained through Self-Determination Theory (SDT) and Social Learning Theory (SLT) (Liu et al., 2020). According to SDT, PSM is driven by both intrinsic and extrinsic motivation, where intrinsic motivation is strengthened through personal values and the fulfillment of psychological needs. LKM, with its emphasis on compassion and empathy, nurtures these intrinsic motivations by fostering a sense of connectedness and empathy toward others (Liu et al., 2021). This sense of connectedness aligns with SDT’s emphasis on relatedness, one of the three basic psychological needs essential for maintaining intrinsic motivation. Moreover, prior research suggests that self-compassion plays a crucial role in maintaining motivation in high-stress professions. By fostering self-kindness rather than self-criticism, LKM may protect police officers from emotional exhaustion, allowing them to sustain their motivation to serve the public (K. D. Neff, 2011). For police officers, a profession characterized by public service and community interaction, LKM cultivates compassion toward others, thereby reinforcing their motivation to serve the public and fulfill their role with greater dedication (Chiou et al., 2021).
Recent research supports the role of compassion in enhancing intrinsic motivation for public service. A study by Martela and Ryan (2016) demonstrated that prosocial behaviors and compassionate mindsets increased intrinsic motivation by fulfilling the need for relatedness, which, according to SDT, is crucial for well-being and self-motivation. Similarly, Toschi and Passamonti (2019) found that when individuals engage in activities that align with their values and promote compassion, their motivation to contribute to the well-being of others increases. For police officers practicing LKM, these compassionate values become internalized, enhancing their sense of responsibility and altruism, which are essential components of PSM.
From an SLT perspective, LKM guided through short video apps provides officers with a model of prosocial and compassionate behaviors, which they can observe and emulate. According to SLT, people learn behaviors through observation, imitation, and modeling, especially when they perceive the observed behaviors as beneficial or aligned with their values (Bandura, 1986). By incorporating real-world policing scenarios into LKM training videos, future interventions could enhance the relevance of observed behaviors and increase their applicability to law enforcement settings.
In this case, video-guided LKM offers officers the opportunity to witness acts of empathy and kindness, thus reinforcing prosocial behaviors that can translate to their professional roles. Studies have shown that video-based interventions are effective in behavior modeling and attitude change, particularly when the content is prosocial and promotes values aligned with the viewer’s responsibilities (Garland et al., 2015).
Moreover, LKM allows police officers to cognitively reframe their roles, fostering a deeper understanding of their impact on society. By engaging in LKM, officers develop a sense of empathy and shared humanity, which can positively reshape their perception of their profession. This aligns with findings suggesting that self-compassion can buffer against compassion fatigue and emotional burnout in high-stress professions, allowing individuals to sustain prosocial motivation over time (C. K. Germer & Neff, 2013).
This cognitive reframing aligns with SLT’s concept of self-efficacy and internalized motivation, where individuals begin to view their roles through the lens of compassion and duty (K. D. Neff & Germer, 2013). Research by Roeser and Bonilla suggests that compassion-based practices in professional settings can increase job satisfaction and meaningful engagement by encouraging individuals to perceive their work as contributing to the greater good (Fredrickson et al., 2008).
In summary, the increase in PSM among police officers practicing LKM can be attributed to the dual influences of SDT and SLT. LKM satisfies intrinsic motivational needs by fostering compassion, fulfilling the need for relatedness, and reinforcing prosocial values (Kok & Fredrickson, 2010). Furthermore, this study highlights the role of self-compassion in supporting motivation, particularly in mitigating the emotional strain associated with public service work. Future studies could explore whether the effects of LKM on PSM are moderated by levels of self-compassion, providing a more comprehensive understanding of how these mechanisms interact.
Additionally, by providing a model of compassionate behavior, LKM empowers officers to internalize these values, motivating them to serve the public with a renewed sense of purpose and commitment (Duarte & Pinto-Gouveia, 2017).

4.3. LKM’s Positive Influence on Conflict Resolution Skills

The study found that Loving-Kindness Meditation (LKM) significantly improved police officers’ conflict resolution skills. This outcome can be explained through Self-Determination Theory (SDT) and Social Learning Theory (SLT) (Chiou et al., 2022). According to SDT, emotional regulation and interpersonal communication are essential elements of self-directed, autonomous behavior, and they play a crucial role in conflict resolution. LKM promotes empathy and emotional regulation, equipping police officers with the psychological tools to manage conflict situations more effectively (Liu et al., 2023). Through the cultivation of compassion, officers are better able to maintain calmness and emotional stability, reducing the likelihood of impulsive or aggressive responses during conflict. This aligns with the SDT’s view that fulfilling the psychological needs of relatedness and emotional regulation promotes constructive interactions and enhances interpersonal skills (Liu et al., 2021).
LKM facilitates a mindset that enables officers to empathize with conflicting parties, which is essential for conflict resolution. The practice of generating compassion and kindness helps officers approach conflicts with a more open and understanding attitude, enhancing their capacity for perspective-taking. Empathy, as cultivated through LKM, provides a foundation for improved interpersonal relationships and can reduce defensive behaviors, which are often triggers for escalating conflicts (Liu et al., 2020). Additionally, by focusing on non-judgmental awareness, LKM practitioners are more likely to assess situations calmly, allowing them to find constructive solutions in high-stress interactions, such as those encountered in police work.
From the perspective of Social Learning Theory (SLT), LKM video guidance provides police officers with constructive conflict resolution models, which are critical for observational learning. SLT posits that individuals learn behaviors by observing and imitating role models, particularly when these models demonstrate behaviors that result in positive outcomes. Through video-guided LKM, police officers can observe examples of conflict resolution strategies, such as active listening, empathy, and seeking mutual understanding. By repeatedly watching these behaviors, officers are likely to internalize and replicate these constructive skills in their own interactions, leading to more effective and peaceful conflict resolution.
Empirical evidence supports the efficacy of compassion-based interventions like LKM in enhancing conflict resolution skills. For instance, a study by Eckland, Leyro, Mendes and Thompson (Ekman, 2015) found that compassion meditation improved emotional regulation and empathy, both of which contribute to conflict management. Furthermore, Leiberg et al. (2011) demonstrated that LKM practitioners were better able to navigate interpersonal conflicts due to an increased capacity for empathy and non-reactivity. These findings suggest that integrating LKM into police training can be an effective approach to equipping officers with essential conflict resolution skills. By fostering both emotional regulation (through SDT mechanisms) and observational learning (through SLT), LKM enables police officers to approach conflicts with empathy, reducing the likelihood of escalation and supporting community trust (Liu et al., 2023).

4.4. LKM’s Positive Effect on Communication Skills

The study revealed that Loving-Kindness Meditation (LKM) significantly improved communication skills among police officers. This effect can be understood through Self-Determination Theory (SDT) and Social Learning Theory (SLT). According to SDT, effective communication is driven by intrinsic motivation, where individuals are motivated to connect meaningfully with others. LKM nurtures this intrinsic motivation by fostering empathy and a non-judgmental attitude, which encourages open, patient, and genuine communication (Liu et al., 2021). By cultivating compassion toward oneself and others, LKM allows officers to engage with the public in a manner that prioritizes understanding and connection, essential aspects of effective communication in high-stress environments such as policing (Fredrickson et al., 2008).
Empathy is central to SDT as it satisfies the need for relatedness, one of the theory’s core psychological needs, which plays a key role in fostering prosocial behavior and improving interpersonal skills (Ryan & Deci, 2017). Through LKM, officers learn to approach others with kindness and empathy, which can lead to more attentive listening and thoughtful responses. This development of empathy and non-judgmental awareness aligns with SDT’s premise that fulfilling psychological needs enhances self-motivation and supports prosocial behavior, which is critical for effective communication (Van den Broeck et al., 2016). Thus, LKM serves as a tool to strengthen police officers’ intrinsic motivation to communicate constructively and patiently with community members.
Social Learning Theory also provides a valuable perspective on how LKM enhances communication skills. SLT posits that individuals acquire new behaviors through observation and imitation of others, especially when these behaviors lead to positive outcomes (Akers & Jennings, 2015). LKM, when delivered through video guidance, exposes officers to positive communication models, such as empathic listening, calm expression, and perspective-taking. By repeatedly observing these examples, police officers can internalize and adopt these behaviors in their daily interactions with the public. The video-based format of LKM allows officers to see concrete examples of constructive communication, reinforcing strategies that can prevent misunderstandings, foster trust, and promote cooperation (H. Chen et al., 2023).
Recent studies support the effectiveness of compassion and mindfulness-based interventions, like LKM, in enhancing communication skills. For instance, a study by Malin found that compassion training improved participants’ interpersonal communication by increasing emotional awareness and reducing defensive responses (Chiou et al., 2022). Similarly, a study by Eckland, Leyro, Mendes and Thompson demonstrated that empathy-based training enhanced individuals’ ability to communicate openly and attentively, which are critical skills in professions involving frequent public interaction. By combining the empathy-focused approach of LKM with observational learning through SLT, police officers can cultivate the skills necessary for building trustful relationships and effectively navigating complex social interactions (Liu et al., 2023).
In summary, LKM’s emphasis on empathy, non-judgmental awareness, and positive role modeling aligns with the principles of SDT and SLT, facilitating improvements in communication skills (Van den Broeck et al., 2016). Through intrinsic motivation (SDT) and observational learning (SLT), LKM provides police officers with the psychological tools and behavioral models needed to communicate effectively, fostering more constructive and respectful interactions with the public. This enhancement in communication skills may contribute to a more positive public perception of police officers, reinforcing community trust and cooperation (Liu et al., 2020).

4.5. Limitations and Future Research

This study was conducted within a single metropolitan police department in China, which may limit the generalizability of the findings to other law enforcement agencies or cultural contexts (Wheeler et al., 2017). However, single-site studies are commonly used in police training research to maintain consistency in intervention delivery and organizational culture (Grupe et al., 2021b). Expanding the study to multiple police departments or including officers from different regions could enhance the external validity of the findings (M. Christopher et al., 2020). Future research could employ a stratified sampling approach to capture potential variations in organizational norms, stress exposure, and departmental policies affecting mindfulness-based interventions (Liu et al., 2020). Additionally, cross-cultural studies could further examine whether the effects of LKM are influenced by different societal attitudes toward meditation and emotional regulation (M. Christopher et al., 2020).
Second, the study’s sample was limited to police officers from a single metropolitan police department in China, which may restrict the generalizability of the findings to other law enforcement contexts or cultural settings (Ryan & Deci, 2000). Differences in organizational culture, societal expectations, and baseline levels of mindfulness could influence how LKM interventions impact police officers in other regions. Future research should examine LKM interventions across diverse geographic locations and law enforcement agencies to determine whether these effects are consistent in varied settings (Trombka et al., 2021).
Third, the intervention relied on a short video format to deliver LKM practices, which, while convenient, may lack the depth and intensity of traditional in-person or longer guided meditation sessions. This format may not be as effective in cultivating sustained changes in mindfulness or empathy, particularly for individuals with limited prior experience in meditation practices (Fredrickson et al., 2008; Hofmann et al., 2011). Future research should explore variations in intervention delivery, such as integrating in-person sessions or providing longer, more immersive LKM practices, to assess whether these modifications produce stronger or more lasting effects (K. D. Neff & Germer, 2013).
Fourth, while this study utilized validated self-report scales to assess mindfulness, public service motivation, conflict resolution skills, and communication skills, we acknowledge the potential limitations associated with response biases (Podsakoff et al., 2003). Self-reported measures, while widely used, rely on participants’ perceptions and may not fully capture real-world behavioral changes. Future studies should incorporate behavioral observations, peer assessments, and video/audio analyses to provide a more comprehensive evaluation of intervention effects (Jazaieri et al., 2018). For instance, conflict resolution skills could be assessed through role-play simulations with trained evaluators rating officers’ responses to de-escalation scenarios (Goleman, 2006). Similarly, video or audio recordings of police interactions could be analyzed using validated communication assessment frameworks (Elliott et al., 2023). Additionally, peer evaluations could serve as an alternative method to cross-validate findings (Van den Broeck et al., 2016). By integrating these objective measures, future research could strengthen the reliability of findings and provide deeper insights into the practical applications of LKM interventions in law enforcement settings.
Fifth, additionally, this study did not directly measure perceived stress and job satisfaction, both of which are critical indicators of occupational well-being in high-stress professions such as law enforcement (Kabat-Zinn & Hanh, 2009). Prior research suggests that mindfulness-based interventions, including LKM, may contribute to stress reduction and increased job satisfaction by promoting emotional regulation and resilience (Kotera & Van Gordon, 2021). Future studies should explicitly assess these variables to determine whether LKM has indirect benefits beyond interpersonal skills, particularly in mitigating occupational stress and enhancing officers’ overall job fulfillment (Vadvilavičius et al., 2023). Longitudinal research could further explore whether reductions in stress contribute to sustained improvements in motivation, conflict resolution, and communication abilities over time (Wongtongkam et al., 2017).
Sixth, the findings indicate a high level of acceptance and perceived usability of the LKM intervention among police officers, supporting its feasibility as a digital mindfulness intervention (Liu et al., 2021). The willingness of participants to recommend the program suggests its practical relevance to law enforcement personnel (Asensio-Martínez et al., 2024). However, future studies could further explore interactive features to enhance engagement, such as real-time facilitator support or peer discussion forums (H. Chen et al., 2023). Additionally, longitudinal follow-up is necessary to determine whether the intervention’s benefits persist over time (B. Chen et al., 2023).
Seventh, while this study provides valuable insights into the effects of Loving-Kindness Meditation (LKM) on police officers, several limitations should be acknowledged. First, the study did not examine potential mediators (e.g., emotional regulation, empathy) or moderators (e.g., personality traits, baseline stress levels), which could help explain individual differences in intervention outcomes (Hernez-Broome, 2012). Future research should explore these factors to clarify the mechanisms driving LKM’s effects (Hoeve et al., 2021). Second, although the study used a randomized controlled design, additional control variables (e.g., workload, job tenure, baseline emotional resilience) could further improve causal inference (Podsakoff et al., 2003). Finally, this study assessed outcomes only immediately after the intervention, limiting conclusions about the long-term sustainability of the observed effects (Aikens et al., 2014). Future studies should incorporate extended follow-up assessments (e.g., six months or one year post-intervention) to determine whether LKM’s benefits persist over time (Holt-Lunstad, 2018). Addressing these limitations will enhance the robustness and applicability of LKM interventions for law enforcement professionals.
Eighth, another important consideration is the potential influence of peer discussions among participants. Given the nature of police work, officers may have shared their experiences with colleagues, which could have influenced perceptions of the intervention. While this study did not explicitly track such discussions, future research could incorporate qualitative methods, such as interviews or focus groups, to explore how peer interactions shape engagement and outcomes. Additionally, self-selection bias should be acknowledged, as officers voluntarily opted into the study. This may have resulted in a sample skewed toward individuals already inclined toward mindfulness or personal development. Future studies could address this by employing mandatory training formats or stratified sampling to ensure a more representative participant pool. These considerations will provide a more nuanced understanding of how LKM interventions function in real-world law enforcement settings.
Another limitation of this study is the relatively short duration of the intervention (6 weeks) and the lack of long-term follow-up to examine the persistence of effects. While the results suggest immediate post-intervention benefits, it is unclear whether these improvements in mindfulness, public service motivation, conflict resolution, and communication skills are sustained over time (Hofmann et al., 2011). Future studies could incorporate follow-up assessments at six months or one year post-intervention to evaluate the longevity of LKM’s impact on police officers (Jazaieri et al., 2018).
Ninth, this study employed a wait-list control rather than an active or placebo control task. Although this design isolates the effects of the LKM-based videos, it does not fully rule out expectancy or Hawthorne effects. Future research should incorporate an active comparison condition—e.g., neutral skills-training videos of equal duration—to more rigorously control for nonspecific intervention effects.
Tenth, while this study provides initial evidence for the effectiveness of short video app-guided LKM in improving psychological and professional outcomes among police officers, future research should move beyond outcome verification to examine how and for whom such interventions work. In particular, we recommend investigating self-compassion as a potential mediating mechanism through which LKM exerts its effects, as well as exploring whether factors such as baseline occupational stress, trait empathy, or digital receptivity moderate the intervention’s impact. These directions would help to clarify both the process and boundary conditions of LKM’s influence in high-stress occupational settings.
Lastly, this study did not examine potential mediators or moderators that might influence the effectiveness of the LKM intervention (Asensio-Martínez et al., 2019). Factors such as baseline levels of empathy, stress, or prior exposure to mindfulness practices could affect individual responsiveness to the intervention. Additionally, personality traits or levels of intrinsic motivation may moderate the degree of improvement in the targeted skills (Gál et al., 2021). Future research should investigate these potential mediators and moderators to better understand which individuals benefit most from LKM and under what conditions it is most effective (Valkenburg et al., 2021). Future research should incorporate a systematic investigation of these potential mediators and moderators to refine the theoretical framework underpinning LKM’s effects. Employing structural equation modeling (SEM) or longitudinal designs could help disentangle these complex relationships and provide a more nuanced understanding of how LKM operates within different individual and organizational contexts (Heffernan, 1988). This would be particularly valuable in tailoring LKM interventions to diverse populations, ensuring their effectiveness across varying professional and personal backgrounds (Fredrickson et al., 2008).
In conclusion, while this study highlights the potential of short video app-guided LKM to improve police officers’ interpersonal and professional skills, future research should address these limitations by incorporating objective assessments, expanding the sample to different settings, exploring alternative delivery methods, conducting long-term follow-ups, and examining individual differences in intervention responsiveness. Addressing these aspects will contribute to a more comprehensive understanding of LKM’s applicability and effectiveness in law enforcement and other high-stress professions (Creswell, 2017).

5. Conclusions

This study provides empirical support for using short video app-guided Loving-Kindness Meditation (LKM) to improve mindfulness, self-compassion, and professional competencies among police officers. These findings offer practical value for law enforcement agencies seeking scalable, low-cost mental health interventions. Integrating LKM into routine training may help reduce stress, enhance communication, and foster a stronger service orientation. The results underscore the real-world potential of compassion-based practices to promote both officer well-being and public service effectiveness.

Author Contributions

Contributor Roles: Idea formation by C.L. and K.-J.Z.; approach development by C.L.; software creation by L.-J.L.; verification by W.-K.C.; detailed evaluation by C.L. and W.-K.C.; asset provision by C.L.; initial manuscript drafting by C.L.; manuscript revision and proofreading by K.-J.Z.; illustration creation by K.-J.Z.; project oversight by L.-J.L.; financial support obtained by L.-J.L. Consent on the final manuscript version was given by all participants. All authors have read and agreed to the published version of the manuscript.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the Fujian Provincial Social Science Foundation of public security theory research special commissioned project (No. FJ2024TWGA006), the Humanities and Social Science Fund of the Ministry of Education of China (Grant Number 23YJCZH012), and the Taiwan Ministry of Science and Technology (Grant number 112-2221-E-182-040-MY3).

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Ethics Committee of Chang Gung University (IRB No.: 20220334B0, 10 March 2024).

Informed Consent Statement

Written informed consent for publication was obtained from all identifiable participants.

Data Availability Statement

The original contributions presented in the study are included in the article. Further inquiries can be directed to the corresponding author. The data presented in this study are available on request from the first author due to privacy restrictions.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Aikens, K. A., Astin, J., Pelletier, K. R., Levanovich, K., Baase, C. M., Park, Y. Y., & Bodnar, C. M. (2014). Mindfulness goes to work: Impact of an online workplace intervention. Journal of Occupational and Environmental Medicine, 56(7), 721–731. [Google Scholar] [CrossRef]
  2. Akers, R. L., & Jennings, W. G. (2015). Social learning theory. In The handbook of criminological theory (pp. 230–240). Wiley. [Google Scholar]
  3. Arnetz, B. B., Nevedal, D. C., Lumley, M. A., Backman, L., & Lublin, A. (2009). Trauma resilience training for police: Psychophysiological and performance effects. Journal of Police and Criminal Psychology, 24, 1–9. [Google Scholar] [CrossRef]
  4. Asensio-Martínez, Á., Adame, L., Aguilar-Latorre, A., Millán, B., Domínguez-García, M., & Magallón-Botaya, R. (2024). Pilot study of an online brief mindfulness-based intervention to improve the well-being of managers and reduce their stress at work. International Journal of Occupational Safety and Ergonomics, 30(3), 858–866. [Google Scholar] [CrossRef]
  5. Asensio-Martínez, Á., Oliván-Blázquez, B., Montero-Marín, J., Masluk, B., Fueyo-Díaz, R., Gascón-Santos, S., Gudé, F., Gónzalez-Quintela, A., García-Campayo, J., & Magallón-Botaya, R. (2019). Relation of the psychological constructs of resilience, mindfulness, and self-compassion on the perception of physical and mental health. Psychology Research and Behavior Management, 12, 1155–1166. [Google Scholar] [CrossRef]
  6. Baer, R. A., Smith, G. T., Hopkins, J., Krietemeyer, J., & Toney, L. (2006). Using self-report assessment methods to explore facets of mindfulness. Assessment, 13(1), 27–45. [Google Scholar] [CrossRef]
  7. Bailey, D. G. (2019). Mindfulness interventions in high-stress occupations: A systematic literature review of programs for stress reduction. Ashford University. [Google Scholar]
  8. Bandura, A. (1986). Social foundations of thought and action (Vols. 23–28, p. 2). Prentice Hall. [Google Scholar]
  9. Bandura, A. (2018). Toward a psychology of human agency: Pathways and reflections. Perspectives on Psychological Science, 13(2), 130–136. [Google Scholar] [CrossRef]
  10. Bar-On, R. (2006). The Bar-On model of emotional-social intelligence (ESI) 1. Psicothema, 18, 13–25. [Google Scholar]
  11. Berry, D. R., Hoerr, J. P., Cesko, S., Alayoubi, A., Carpio, K., Zirzow, H., Walters, W., Scram, G., Rodriguez, K., & Beaver, V. (2020). Does mindfulness training without explicit ethics-based instruction promote prosocial behaviors? A meta-analysis. Personality and Social Psychology Bulletin, 46(8), 1247–1269. [Google Scholar] [CrossRef]
  12. Boellinghaus, I., Jones, F. W., & Hutton, J. (2014). The role of mindfulness and loving-kindness meditation in cultivating self-compassion and other-focused concern in health care professionals. Mindfulness, 5, 129–138. [Google Scholar] [CrossRef]
  13. Boyle, A., & Mosewich, A. (2021). Self-regulation as a mediator of mindfulness and physical activity: A narrative review. Spectrum, (7). [Google Scholar] [CrossRef]
  14. Brown, K. W., & Ryan, R. M. (2003). The benefits of being present: Mindfulness and its role in psychological well-being. Journal of Personality and Social Psychology, 84(4), 822. [Google Scholar] [CrossRef]
  15. Burton, A., Burgess, C., Dean, S., Koutsopoulou, G. Z., & Hugh-Jones, S. (2017). How effective are mindfulness-based interventions for reducing stress among healthcare professionals? A systematic review and meta-analysis. Stress and Health, 33(1), 3–13. [Google Scholar] [CrossRef]
  16. Cavanagh, K., Strauss, C., Forder, L., & Jones, F. (2014). Can mindfulness and acceptance be learnt by self-help?: A systematic review and meta-analysis of mindfulness and acceptance-based self-help interventions. Clinical Psychology Review, 34(2), 118–129. [Google Scholar] [CrossRef]
  17. Chen, B., Yang, T., Xiao, L., Xu, C., & Zhu, C. (2023). Effects of mobile mindfulness meditation on the mental health of university students: Systematic review and meta-analysis. Journal of Medical Internet Research, 25, e39128. [Google Scholar] [CrossRef]
  18. Chen, H., Liu, C., Hsu, S.-E., Huang, D.-H., Liu, C.-Y., & Chiou, W.-K. (2023). The effects of animation on the guessability of universal healthcare symbols for middle-aged and older adults. Human Factors, 65(8), 1740–1758. [Google Scholar] [CrossRef]
  19. Chiou, W.-K., Hsu, S.-E., Liang, Y.-C., Hong, T.-H., Lo, L.-M., Chen, H., & Liu, C. (2021, July 24–29). ISDT case study of we’ll app for postpartum depression women. Cross-Cultural Design. Applications in Arts, Learning, Well-being, and Social Development: 13th International Conference, CCD 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event. Proceedings, Part II 23. [Google Scholar]
  20. Chiou, W.-K., Liu, C., Chen, H., & Hsu, S.-E. (2022). Reliability and validity assessment of the Chinese version of flow ergonomics. In International conference on human-computer interaction. Springer International Publishing. [Google Scholar]
  21. Christopher, M., Bowen, S., & Witkiewitz, K. (2020). Mindfulness-based resilience training for aggression, stress and health in law enforcement officers: Study protocol for a multisite, randomized, single-blind clinical feasibility trial. Trials, 21, 236. [Google Scholar] [CrossRef]
  22. Christopher, M. S., Goerling, R. J., Rogers, B. S., Hunsinger, M., Baron, G., Bergman, A. L., & Zava, D. T. (2016). A pilot study evaluating the effectiveness of a mindfulness-based intervention on cortisol awakening response and health outcomes among law enforcement officers. Journal of Police and Criminal Psychology, 31, 15–28. [Google Scholar] [CrossRef]
  23. Christopher, M. S., Hunsinger, M., Goerling, L. R. J., Bowen, S., Rogers, B. S., Gross, C. R., Dapolonia, E., & Pruessner, J. C. (2018). Mindfulness-based resilience training to reduce health risk, stress reactivity, and aggression among law enforcement officers: A feasibility and preliminary efficacy trial. Psychiatry Research, 264, 104–115. [Google Scholar] [CrossRef]
  24. Conversano, C., Ciacchini, R., Orrù, G., Di Giuseppe, M., Gemignani, A., & Poli, A. (2020). Mindfulness, compassion, and self-compassion among health care professionals: What’s new? A systematic review. Frontiers in Psychology, 11, 1683. [Google Scholar] [CrossRef]
  25. Coursey, D. H., & Pandey, S. K. (2007). Public service motivation measurement: Testing an abridged version of Perry’s proposed scale. Administration & Society, 39(5), 547–568. [Google Scholar]
  26. Crego, A., Yela, J. R., Riesco-Matías, P., Gómez-Martínez, M.-Á., & Vicente-Arruebarrena, A. (2022). The benefits of self-compassion in mental health professionals: A systematic review of empirical research. Psychology Research and Behavior Management, 15, 2599–2620. [Google Scholar] [CrossRef]
  27. Creswell, J. D. (2017). Mindfulness interventions. Annual Review of Psychology, 68(1), 491–516. [Google Scholar] [CrossRef]
  28. Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. [Google Scholar] [CrossRef]
  29. Demarzo, M. M., Montero-Marin, J., Cuijpers, P., Zabaleta-Del-Olmo, E., Mahtani, K. R., Vellinga, A., Vicens, C., López-Del-Hoyo, Y., & García-Campayo, J. (2015). The efficacy of mindfulness-based interventions in primary care: A meta-analytic review. The Annals of Family Medicine, 13(6), 573–582. [Google Scholar] [CrossRef]
  30. Duarte, J., & Pinto-Gouveia, J. (2017). Mindfulness, self-compassion and psychological inflexibility mediate the effects of a mindfulness-based intervention in a sample of oncology nurses. Journal of Contextual Behavioral Science, 6(2), 125–133. [Google Scholar] [CrossRef]
  31. Ekman, E. (2015). Development, delivery, and evaluation of a pilot stress reduction, emotion regulation, and mindfulness training for juvenile justice officers. Journal of Juvenile Justice, 4(2), 71–94. [Google Scholar]
  32. Ellingson, L. D., Lansing, J. E., DeShaw, K. J., Peyer, K. L., Bai, Y., Perez, M., Phillips, L. A., & Welk, G. J. (2019). Evaluating motivational interviewing and habit formation to enhance the effect of activity trackers on healthy adults’ activity levels: Randomized intervention. JMIR mHealth and uHealth, 7(2), e10988. [Google Scholar] [CrossRef]
  33. Elliott, K.-E. J., Quinn, M. G., Stirling, C. M., Sanderson, K., Robinson, A. L., Martin, A. J., & Scott, J. L. (2023). Developing the occupational communion scale: Belonging-based social connections are vital for work engagement, self-efficacy, and positive affect in aged care workforces. The Gerontologist, 63(6), 1028–1038. [Google Scholar] [CrossRef]
  34. Eriksson, T., Germundsjö, L., Åström, E., & Rönnlund, M. (2018). Mindful self-compassion training reduces stress and burnout symptoms among practicing psychologists: A randomized controlled trial of a brief web-based intervention. Frontiers in Psychology, 9, 419949. [Google Scholar] [CrossRef]
  35. Firth, J., Torous, J., Nicholas, J., Carney, R., Pratap, A., Rosenbaum, S., & Sarris, J. (2017). The efficacy of smartphone-based mental health interventions for depressive symptoms: A meta-analysis of randomized controlled trials. World Psychiatry, 16(3), 287–298. [Google Scholar] [CrossRef]
  36. Fredrickson, B. L., Cohn, M. A., Coffey, K. A., Pek, J., & Finkel, S. M. (2008). Open hearts build lives: Positive emotions, induced through loving-kindness meditation, build consequential personal resources. Journal of Personality and Social Psychology, 95(5), 1045. [Google Scholar] [CrossRef]
  37. Galante, J., Bekkers, M. J., Mitchell, C., & Gallacher, J. (2016). Loving-kindness meditation effects on well-being and altruism: A mixed-methods online RCT. Applied Psychology: Health and Well-Being, 8(3), 322–350. [Google Scholar] [CrossRef]
  38. Garland, E. L., Farb, N. A., R. Goldin, P., & Fredrickson, B. L. (2015). Mindfulness broadens awareness and builds eudaimonic meaning: A process model of mindful positive emotion regulation. Psychological Inquiry, 26(4), 293–314. [Google Scholar] [CrossRef]
  39. Gál, É., Ștefan, S., & Cristea, I. A. (2021). The efficacy of mindfulness meditation apps in enhancing users’ well-being and mental health related outcomes: A meta-analysis of randomized controlled trials. Journal of Affective Disorders, 279, 131–142. [Google Scholar] [CrossRef]
  40. Germer, C. (2009). The mindful path to self-compassion: Freeing yourself from destructive thoughts and emotions. Guilford Press. [Google Scholar]
  41. Germer, C. K., & Neff, K. D. (2013). Self-compassion in clinical practice. Journal of Clinical Psychology, 69(8), 856–867. [Google Scholar] [CrossRef]
  42. Gilbert, P. (2017). Compassion: Concepts, research and applications. Taylor & Francis. [Google Scholar]
  43. Gilbert, P., & Procter, S. (2006). Compassionate mind training for people with high shame and self-criticism: Overview and pilot study of a group therapy approach. Clinical Psychology & Psychotherapy: An International Journal of Theory & Practice, 13(6), 353–379. [Google Scholar]
  44. Goldberg, S. B., Riordan, K. M., Sun, S., & Davidson, R. J. (2022). The empirical status of mindfulness-based interventions: A systematic review of 44 meta-analyses of randomized controlled trials. Perspectives on Psychological Science, 17(1), 108–130. [Google Scholar] [CrossRef]
  45. Goleman, D. (2006). Social intelligence: The new science of human relationships. Bantam. [Google Scholar]
  46. Grupe, D. W., McGehee, C., Smith, C., Francis, A. D., Mumford, J. A., & Davidson, R. J. (2021a). Mindfulness training reduces PTSD symptoms and improves stress-related health outcomes in police officers. Journal of Police and Criminal Psychology, 36, 72–85. [Google Scholar] [CrossRef]
  47. Grupe, D. W., Stoller, J. L., Alonso, C., McGehee, C., Smith, C., Mumford, J. A., Rosenkranz, M. A., & Davidson, R. J. (2021b). The impact of mindfulness training on police officer stress, mental health, and salivary cortisol levels. Frontiers in Psychology, 12, 720753. [Google Scholar] [CrossRef]
  48. Heffernan, C. J. (1988). Social foundations of thought and action: A social cognitive theory, Albert Bandura Englewood Cliffs, New Jersey: Prentice Hall, 1986, xiii+ 617 pp. Hardback. US $39.50. Behaviour Change, 5(1), 37–38. [Google Scholar] [CrossRef]
  49. Hernez-Broome, G. (2012). Social intelligence: The new science of human relationships. Wiley Online Library. [Google Scholar]
  50. Hoeve, M., de Bruin, E. I., van Rooij, F., & Bögels, S. M. (2021). Effects of a mindfulness-based intervention for police officers. Mindfulness, 12(7), 1672–1684. [Google Scholar] [CrossRef]
  51. Hofmann, S. G., Grossman, P., & Hinton, D. E. (2011). Loving-kindness and compassion meditation: Potential for psychological interventions. Clinical Psychology Review, 31(7), 1126–1132. [Google Scholar] [CrossRef]
  52. Holt-Lunstad, J. (2018). Fostering social connection in the workplace. American Journal of Health Promotion, 32(5), 1307–1312. [Google Scholar] [CrossRef]
  53. Hutcherson, C. A., Seppala, E. M., & Gross, J. J. (2008). Loving-kindness meditation increases social connectedness. Emotion, 8(5), 720. [Google Scholar] [CrossRef]
  54. Hülsheger, U. R., Alberts, H. J., Feinholdt, A., & Lang, J. W. (2013). Benefits of mindfulness at work: The role of mindfulness in emotion regulation, emotional exhaustion, and job satisfaction. Journal of Applied Psychology, 98(2), 310. [Google Scholar] [CrossRef]
  55. Jameson, J. G. (2023). Resilience characteristics in law enforcement officers. Walden University. [Google Scholar]
  56. Jazaieri, H., McGonigal, K., Lee, I. A., Jinpa, T., Doty, J. R., Gross, J. J., & Goldin, P. R. (2018). Altering the trajectory of affect and affect regulation: The impact of compassion training. Mindfulness, 9, 283–293. [Google Scholar] [CrossRef]
  57. Kabat-Zinn, J., & Hanh, T. N. (2009). Full catastrophe living: Using the wisdom of your body and mind to face stress, pain, and illness. Delta. [Google Scholar]
  58. Karaffa, K. M., & Koch, J. M. (2016). Stigma, pluralistic ignorance, and attitudes toward seeking mental health services among police officers. Criminal Justice and Behavior, 43(6), 759–777. [Google Scholar] [CrossRef]
  59. Kirby, J. N., Tellegen, C. L., & Steindl, S. R. (2017). A meta-analysis of compassion-based interventions: Current state of knowledge and future directions. Behavior Therapy, 48(6), 778–792. [Google Scholar] [CrossRef]
  60. Kok, B. E., & Fredrickson, B. L. (2010). Upward spirals of the heart: Autonomic flexibility, as indexed by vagal tone, reciprocally and prospectively predicts positive emotions and social connectedness. Biological Psychology, 85(3), 432–436. [Google Scholar] [CrossRef]
  61. Kotera, Y., & Van Gordon, W. (2021). Effects of self-compassion training on work-related well-being: A systematic review. Frontiers in Psychology, 12, 630798. [Google Scholar] [CrossRef]
  62. Kurdek, L. A. (1994). Conflict resolution styles in gay, lesbian, heterosexual nonparent, and heterosexual parent couples. Journal of Marriage and the Family, 56, 705–722. [Google Scholar] [CrossRef]
  63. Leiberg, S., Klimecki, O., & Singer, T. (2011). Short-term compassion training increases prosocial behavior in a newly developed prosocial game. PLoS ONE, 6(3), e17798. [Google Scholar] [CrossRef]
  64. Liu, C., Chen, H., Liang, Y.-C., Lin, R., & Chiou, W.-K. (2021, July 24–29). ISDT case study of loving kindness meditation for flight attendants. Cross-Cultural Design. Applications in Arts, Learning, Well-being, and Social Development: 13th International Conference, CCD 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event. Proceedings, Part II 23. [Google Scholar]
  65. Liu, C., Chen, H., Liu, C.-Y., Lin, R., & Chiou, W.-K. (2020, July 19–24). Effects of loving-kindness meditation on mindfulness, spirituality and subjective well-being of flight attendants. Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity: 12th International Conference, CCD 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark. Proceedings, Part II 22. [Google Scholar]
  66. Liu, C., Chen, H., Zhang, A., Gong, X., Wu, K., Liu, C.-Y., & Chiou, W.-K. (2023). The effects of short video app-guided loving-kindness meditation on college students’ mindfulness, self-compassion, positive psychological capital, and suicide ideation. Psicologia: Reflexão e Crítica, 36(1), 32. [Google Scholar] [CrossRef]
  67. Luberto, C. M., Hall, D. L., Park, E. R., Haramati, A., & Cotton, S. (2020). A perspective on the similarities and differences between mindfulness and relaxation. Global Advances in Health and Medicine, 9, 2164956120905597. [Google Scholar] [CrossRef]
  68. Luberto, C. M., Shinday, N., Song, R., Philpotts, L. L., Park, E. R., Fricchione, G. L., & Yeh, G. Y. (2018). A systematic review and meta-analysis of the effects of meditation on empathy, compassion, and prosocial behaviors. Mindfulness, 9, 708–724. [Google Scholar] [CrossRef]
  69. Lyzwinski, L. N., Caffery, L., Bambling, M., & Edirippulige, S. (2018). A systematic review of electronic mindfulness-based therapeutic interventions for weight, weight-related behaviors, and psychological stress. Telemedicine and e-Health, 24(3), 173–184. [Google Scholar] [CrossRef]
  70. Marsh, I. C., Chan, S. W., & MacBeth, A. (2018). Self-compassion and psychological distress in adolescents—A meta-analysis. Mindfulness, 9, 1011–1027. [Google Scholar] [CrossRef]
  71. Martela, F., & Ryan, R. M. (2016). Prosocial behavior increases well-being and vitality even without contact with the beneficiary: Causal and behavioral evidence. Motivation and Emotion, 40, 351–357. [Google Scholar] [CrossRef]
  72. Matos, M., Duarte, C., Duarte, J., Pinto-Gouveia, J., Petroscchi, N., Basran, J., & Gilbert, P. (2016). Psychological and physiological effects of compassionate mind training: A randomised controlled trial. under review. [Google Scholar]
  73. McCarty, W. P., Aldirawi, H., Dewald, S., & Palacios, M. (2019). Burnout in blue: An analysis of the extent and primary predictors of burnout among law enforcement officers in the United States. Police Quarterly, 22(3), 278–304. [Google Scholar] [CrossRef]
  74. McCreary, D. R., & Thompson, M. M. (2006). Development of two reliable and valid measures of stressors in policing: The operational and organizational police stress questionnaires. International Journal of Stress Management, 13(4), 494. [Google Scholar] [CrossRef]
  75. Morley, R. H., Bowman, S. W., Fulton, C. L., Roche, S. P., Jantz, P. B., & Trujillo, L. T. (2021). Mindfulness, self-control, implicit bias, race, threat perception failure, and the accidental use of deadly force against off-duty police officers. Journal of Police and Criminal Psychology, 36, 86–95. [Google Scholar] [CrossRef]
  76. Naslund, J. A., Bondre, A., Torous, J., & Aschbrenner, K. A. (2020). Social media and mental health: Benefits, risks, and opportunities for research and practice. Journal of Technology in Behavioral Science, 5(3), 245–257. [Google Scholar] [CrossRef]
  77. Neff, K. (2003). Self-compassion: An alternative conceptualization of a healthy attitude toward oneself. Self and Identity, 2(2), 85–101. [Google Scholar] [CrossRef]
  78. Neff, K. D. (2011). Self-compassion, self-esteem, and well-being. Social and Personality Psychology Compass, 5(1), 1–12. [Google Scholar] [CrossRef]
  79. Neff, K. D., & Beretvas, S. N. (2013). The role of self-compassion in romantic relationships. Self and Identity, 12(1), 78–98. [Google Scholar] [CrossRef]
  80. Neff, K. D., & Germer, C. K. (2013). A pilot study and randomized controlled trial of the mindful self-compassion program. Journal of Clinical Psychology, 69(1), 28–44. [Google Scholar] [CrossRef]
  81. Peetz, J., & Milyavskaya, M. (2021). A self-determination theory approach to predicting daily prosocial behavior. Motivation and Emotion, 45(5), 617–630. [Google Scholar] [CrossRef]
  82. Perry, J. L., & Hondeghem, A. (2008). Motivation in public management: The call of public service. OUP Oxford. [Google Scholar]
  83. Petrides, K. V., & Furnham, A. (2006). The role of trait emotional intelligence in a gender-specific model of organizational variables 1. Journal of Applied Social Psychology, 36(2), 552–569. [Google Scholar] [CrossRef]
  84. Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879. [Google Scholar] [CrossRef]
  85. Pratscher, S. D., Rose, A. J., Markovitz, L., & Bettencourt, A. (2018). Interpersonal mindfulness: Investigating mindfulness in interpersonal interactions, co-rumination, and friendship quality. Mindfulness, 9, 1206–1215. [Google Scholar] [CrossRef]
  86. Rehman, S., Addas, A., Rehman, E., & Khan, M. N. (2024). The mediating roles of self-compassion and emotion regulation in the relationship between psychological resilience and mental health among college teachers. Psychology Research and Behavior Management, 12, 4119–4133. [Google Scholar] [CrossRef]
  87. Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68. [Google Scholar] [CrossRef]
  88. Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford publications. [Google Scholar]
  89. Schutte, N. S., & Malouff, J. M. (2018). Mindfulness and connectedness to nature: A meta-analytic investigation. Personality and Individual Differences, 127, 10–14. [Google Scholar] [CrossRef]
  90. Seppala, E. M., Hutcherson, C. A., Nguyen, D. T., Doty, J. R., & Gross, J. J. (2014). Loving-kindness meditation: A tool to improve healthcare provider compassion, resilience, and patient care. Journal of Compassionate Health Care, 1, 5. [Google Scholar] [CrossRef]
  91. Shapiro, S. L., Astin, J. A., Bishop, S. R., & Cordova, M. (2005). Mindfulness-based stress reduction for health care professionals: Results from a randomized trial. International Journal of Stress Management, 12(2), 164. [Google Scholar] [CrossRef]
  92. Snyder, J., Low, S., Bullard, L., Schrepferman, L., Wachlarowicz, M., Marvin, C., & Reed, A. (2013). Effective parenting practices: Social interaction learning theory and the role of emotion coaching and mindfulness. In Authoritative parenting: Synthesizing nurturance and discipline for optimal child development. American Psychological Association. [Google Scholar]
  93. Songmetta, P. W., Improm, K., & Krueachao, G. (2025). Enhancing the mental well-being of working people by loving-kindness meditation with dhamma music. Journal of MCU Buddhist Review, 9(1), 84–97. [Google Scholar]
  94. Stern, S. B. (2019). Investigating the feasibility of Advanced Law Enforcement Resilience Training (ALERT): An innovative and practical intervention to enhance police mindfulness and resilience. City University of New York. [Google Scholar]
  95. Stratton, E., Jones, N., Peters, S. E., Torous, J., & Glozier, N. (2021). Digital mHealth interventions for employees: Systematic review and meta-analysis of their effects on workplace outcomes. Journal of Occupational and Environmental Medicine, 63(8), e512–e525. [Google Scholar] [CrossRef]
  96. Toch, H. (2002). Stress in policing. American Psychological Association. [Google Scholar]
  97. Toschi, N., & Passamonti, L. (2019). Intra-cortical myelin mediates personality differences. Journal of Personality, 87(4), 889–902. [Google Scholar] [CrossRef]
  98. Trombka, M., Demarzo, M., Campos, D., Antonio, S. B., Cicuto, K., Walcher, A. L., García-Campayo, J., Schuman-Olivier, Z., & Rocha, N. S. (2021). Mindfulness training improves quality of life and reduces depression and anxiety symptoms among police officers: Results from the POLICE study—A multicenter randomized controlled trial. Frontiers in Psychiatry, 12, 624876. [Google Scholar] [CrossRef]
  99. Vadvilavičius, T., Varnagirytė, E., Jarašiūnaitė-Fedosejeva, G., & Gustainienė, L. (2023). The effectiveness of Mindfulness-based interventions for police officers’ stress reduction: A systematic review. Journal of Police and Criminal Psychology, 38(1), 223–239. [Google Scholar] [CrossRef]
  100. Valkenburg, P., Beyens, I., Pouwels, J. L., van Driel, I. I., & Keijsers, L. (2021). Social media use and adolescents’ self-esteem: Heading for a person-specific media effects paradigm. Journal of Communication, 71(1), 56–78. [Google Scholar] [CrossRef]
  101. Van den Broeck, A., Ferris, D. L., Chang, C.-H., & Rosen, C. C. (2016). A review of self-determination theory’s basic psychological needs at work. Journal of Management, 42(5), 1195–1229. [Google Scholar] [CrossRef]
  102. Vonderlin, R., Biermann, M., Bohus, M., & Lyssenko, L. (2020). Mindfulness-based programs in the workplace: A meta-analysis of randomized controlled trials. Mindfulness, 11, 1579–1598. [Google Scholar] [CrossRef]
  103. Wheeler, M. S., Arnkoff, D. B., & Glass, C. R. (2017). The neuroscience of mindfulness: How mindfulness alters the brain and facilitates emotion regulation. Mindfulness, 8, 1471–1487. [Google Scholar] [CrossRef]
  104. Wiemann, J. M. (1977). Explication and test of a model of communicative competence. Human Communication Research, 3(3), 195–213. [Google Scholar] [CrossRef]
  105. Winter, R., Issa, E., Roberts, N., Norman, R. I., & Howick, J. (2020). Assessing the effect of empathy-enhancing interventions in health education and training: A systematic review of randomised controlled trials. BMJ Open, 10(9), e036471. [Google Scholar] [CrossRef]
  106. Withrow, A., Russell, K., & Gillani, B. (2024). Mindfulness training for law enforcement to reduce occupational impact: A systematic review and meta-analysis. The Police Journal, 97(2), 221–239. [Google Scholar] [CrossRef]
  107. Wongtongkam, N., Krivokapic-Skoko, B., Duncan, R., & Bellio, M. (2017). The influence of a mindfulness-based intervention on job satisfaction and work-related stress and anxiety. International Journal of Mental Health Promotion, 19(3), 134–143. [Google Scholar] [CrossRef]
  108. Zeng, X., Chiu, C. P., Wang, R., Oei, T. P., & Leung, F. Y. (2015). The effect of loving-kindness meditation on positive emotions: A meta-analytic review. Frontiers in Psychology, 6, 1693. [Google Scholar] [CrossRef]
  109. Zhou, J., Lang, Y., Wang, Z., Gao, C., Lv, J., Zheng, Y., Gu, X., Yan, L., Chen, Y., Zhang, X., Zhao, X., Luo, W., Chen, Y., Jiang, Y., Li, R., & Zeng, X. (2023). A meta-analysis and systematic review of the effect of loving-kindness and compassion meditations on negative interpersonal attitudes. Current Psychology, 42(31), 27813–27827. [Google Scholar] [CrossRef]
Figure 1. Procedure flow chart.
Figure 1. Procedure flow chart.
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Figure 2. Significant interaction effects between Group and Time. Note. PSM: Public service motivation; CRS: conflict resolution skills; CSS: Communication Skills Scale.
Figure 2. Significant interaction effects between Group and Time. Note. PSM: Public service motivation; CRS: conflict resolution skills; CSS: Communication Skills Scale.
Behavsci 15 00909 g002
Table 1. Baseline demographic characteristics of participants.
Table 1. Baseline demographic characteristics of participants.
CharacteristicTotal (n = 92)LKM Group (n = 46)Control Group (n = 46)
Age (Mean ± SD)35.22 ± 3.1935.57 ± 3.3034.86 ± 3.02
Gender
Male (%)66 (71.7%)32 (69.6%)34 (73.9%)
Female (%)26 (28.3%)14 (30.4%)12 (26.1%)
Years of Police Service
1–5 years (%)28 (30.4%)15 (32.6%)13 (28.3%)
6–10 years (%)41 (44.6%)21 (45.7%)20 (43.5%)
Over 10 years (%)23 (25.0%)10 (21.7%)13 (28.3%)
Prior Mindfulness Experience (%)23 (25.0%)11 (23.9%)12 (26.1%)
Table 2. Usability Evaluation.
Table 2. Usability Evaluation.
ItemsYes
n (%)
No
n (%)
1.
User-Friendliness and Convenience: Do you think the short video app is easy to use and convenient to integrate into daily life?
38 (83%)8 (17%)
2.
Emotional Awareness and Stress Relief: Do you think the short video app-guided LKM exercise is helpful in improving emotional awareness and reducing stress?
36 (78%)10 (22%)
3.
Usability and Practicality: Do you think the short video app-guided LKM exercise meets the work needs of law enforcement personnel?
35 (76%)11 (24%)
4.
Promotability: Would you recommend this short video app-guided LKM exercise to your colleagues?
33 (72%)13 (28%)
Open-ended ItemResponse Summary
What other suggestions do you have for short video app-guided LKM exercises?Add more interactive elements, include discussions or online coaching to increase engagement
Table 3. Scope and sequence of the six-week intervention.
Table 3. Scope and sequence of the six-week intervention.
WeekSession Content & Focus
1Introduction to Loving-Kindness Meditation (LKM); psychoeducation on its psychological benefits, focusing on emotional regulation and interpersonal relationships.
2Practicing LKM with attention to empathy and compassion towards self and others; mindfulness in stressful situations.
3LKM for enhancing resilience; extending compassion in conflict situations, particularly in professional settings.
4Exploring emotional regulation through LKM; managing stress and anxiety in law enforcement contexts.
5Deepening LKM practice with focus on interpersonal communication; fostering positive attitudes toward colleagues and the community.
6Integrating LKM into daily life; reflecting on the application of compassion-based exercises to enhance overall well-being and professional effectiveness.
Table 4. Descriptive statistics.
Table 4. Descriptive statistics.
GroupMeasuresMean (SD)
PrePost
LKM
(n = 46)
MAAS3.574(0.525)3.872(0.666)
PSM3.007(0.565)3.711(0.690)
CRS3.098(0.581)3.815(0.690)
CSS2.884(0.496)3.845(0.629)
Control
(n = 46)
MAAS3.630(0.596)3.609(0.761)
PSM3.152(0.485)2.998(0.725)
CRS3.114(0.555)2.929(0.818)
CSS2.946(0.460)2.752(0.630)
Note. MAAS: Mindfulness Attention Awareness Scale; PSM: public service motivation; CRS: conflict resolution skills; CSS: Communication Skills Scale.
Table 5. Between-Subjects Effects tests.
Table 5. Between-Subjects Effects tests.
MeasuresVariableFpη2
MAASGroup1.1930.2760.007
Time2.1280.1460.012
Group × Time2.8500.9300.016
PSMGroup **9.5150.0020.050
Time **8.9410.0030.047
Group × Time ***21.793<0.0010.108
CRSGroup ***19.435<0.0010.097
Time **7.2910.0080.039
Group × Time **20.920<0.0010.104
CSSGroup ***39.182<0.0010.179
Time ***21.672<0.0010.107
Group × Time ***49.095<0.0010.214
Note. MAAS: Mindfulness Attention Awareness Scale; PSM: public service motivation; CRS: conflict resolution skills; CSS: Communication Skills Scale; ** p < 0.01; *** p < 0.001. The confidence interval is 95%.
Table 6. Correlation between the study variables.
Table 6. Correlation between the study variables.
1234
MAAS
PSM0.678 ***
CRS0.628 ***0.740 ***
CSS0.604 ***0.771 ***0.806 ***
Note. MAAS: Mindfulness Attention Awareness Scale; PSM: public service motivation; CRS: conflict resolution skills; CSS: Communication Skills Scale; *** p < 0.001.
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Liu, C.; Lin, L.-J.; Zhang, K.-J.; Chiou, W.-K. The Effects of Loving-Kindness Meditation Guided by Short Video Apps on Policemen’s Mindfulness, Public Service Motivation, Conflict Resolution Skills, and Communication Skills. Behav. Sci. 2025, 15, 909. https://doi.org/10.3390/bs15070909

AMA Style

Liu C, Lin L-J, Zhang K-J, Chiou W-K. The Effects of Loving-Kindness Meditation Guided by Short Video Apps on Policemen’s Mindfulness, Public Service Motivation, Conflict Resolution Skills, and Communication Skills. Behavioral Sciences. 2025; 15(7):909. https://doi.org/10.3390/bs15070909

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Liu, Chao, Li-Jen Lin, Kang-Jie Zhang, and Wen-Ko Chiou. 2025. "The Effects of Loving-Kindness Meditation Guided by Short Video Apps on Policemen’s Mindfulness, Public Service Motivation, Conflict Resolution Skills, and Communication Skills" Behavioral Sciences 15, no. 7: 909. https://doi.org/10.3390/bs15070909

APA Style

Liu, C., Lin, L.-J., Zhang, K.-J., & Chiou, W.-K. (2025). The Effects of Loving-Kindness Meditation Guided by Short Video Apps on Policemen’s Mindfulness, Public Service Motivation, Conflict Resolution Skills, and Communication Skills. Behavioral Sciences, 15(7), 909. https://doi.org/10.3390/bs15070909

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