Search Results (100)

Background/Objectives: Rett syndrome (RTT) is a rare neurodevelopmental disorder that affects movement and communication skills primarily in females. This study aimed to synthesize the research from the last two decades regarding the verbal and nonverbal communication abilities, assessment procedures, and intervention approaches for individuals with RTT. Methods: A structured literature search was conducted using the Embase, Scopus, and PubMed databases. Fifty-seven studies were selected and analyzed based on inclusion criteria. The data were categorized into four domains (verbal communication skills, nonverbal communication skills, assessment procedures, and intervention approaches). Results: The findings indicated a wide variety of communicative behaviors across the RTT population, including prelinguistic signals, regression in verbal output, and preserved nonverbal communicative intent. Moreover, the results highlighted the importance of tailored assessments (Inventory of Potential Communicative Acts, eye tracking tools, and Augmentative and Alternative Communication) to facilitate functional communication. The individualized intervention approaches were found to be the most effective in improving communicative participation. Conclusions: The current review provides an overview of the current evidence with an emphasis on the need for personalized and evidence-based clinical practices. Additionally, it provided guidance for professionals, clinicians, and researchers seeking to improve the quality of life for individuals with RTT. Full article

Advanced technology systems and neuroelectronics for crash risk assessment and anticipation may be a promising field for advancing responsible automated driving on urban roads. In principle, there are prospects of an artificially intelligent (AI)-powered automated vehicle (AV) system that tracks the degree of perceived crash risk (as either low, mid, or high) and perceived safety. As a result, communicating (verbally or nonverbally) this information to the user based on human factor aspects should be reflected. As humans and vehicle automation systems are prone to error, we need to design advanced information and communication technologies that monitor risks and act as a mediator when necessary. One possible approach is towards designing a crash risk classification and management system. This would be through responsible AI that monitors the user’s mental states associated with risk-taking behaviour and communicates this information to the user, in conjunction with the driving environment and AV states. This concept is based on a literature review and industry experts’ perspectives on designing advanced technology systems that support users in preventing crash risk encounters due to long-term effects. Equally, learning strategies for responsible automated driving on urban roads were designed. In a sense, this paper offers the reader a meticulous discussion on conceptualising a safety-inspired ‘ergonomically responsible AI’ concept in the form of an intelligent risk assessment system (iRisk) and an AI-powered Risk information Human–Machine Interface (AI rHMI) as a useful concept for responsible automated driving and safe human–automation interaction. Full article

Background: Autism spectrum disorder (ASD) is a neurodevelopmental condition in children that typically involves challenges in cognition, behavior, and communication. While many children with ASD exhibit significant impairments in both verbal and non-verbal communication, the severity and nature of these difficulties can vary widely. In addition to its impact on overall health, ASD also affects oral health, leading to increased vulnerability to dental disease. Aim: This narrative review aims to summarize key oral health challenges and care strategies for children with ASD, focusing on clinical risks, behavioral barriers, caregiver roles, and effective interventions. Materials and Methods: A comprehensive literature search was conducted using four databases—PubMed, Scopus, Web of Science, and Google Scholar—as well as relevant study registries where applicable. Peer-reviewed articles published in English between 2010 and 2024 were identified using keywords and their synonyms, such as autism spectrum disorder, children, oral care, dental practitioners, and parents. Studies were included based on relevance to oral health challenges and interventions in children diagnosed with ASD. Results: Children with ASD experience a range of sensory sensitivities, attention deficits, hyperactivity, and behavioral resistance, which significantly hinder the performance of adequate oral hygiene practices. These challenges contribute to a lack of effective dental prophylaxis and limited access to regular preventive care, ultimately resulting in poorer oral health outcomes and reduced oral health-related quality of life. Conclusion: Due to the multifaceted characteristics of ASD, children with this condition face significant barriers in accessing appropriate and individualized oral care. This increases their risks of developing oral health disorders, underscoring the need for coordinated efforts between caregivers and dental professionals to improve oral health outcomes in this vulnerable population. Full article

Background/Objectives: Nonverbal synchrony—the temporal coordination of physical behaviors such as head movement and gesture—is a critical component of effective social communication. Individuals with autism spectrum disorder (ASD) are often described as having impairments in such synchrony, but objective and scalable tools to measure these disruptions remain limited. This study aims to assess body motion synchrony in ASD using phase-based features as potential markers of social timing impairments. Methods: We applied a phase difference detection algorithm to high-resolution triaxial accelerometer data obtained during structured, unidirectional verbal communication. A total of 72 participants (36 typically developing TD–TD and 36 TD–ASD) were divided into dyads. ASD participants always assumed the listener role, enabling the isolation of receptive synchrony. Four distribution-based features—synchrony activity, directionality, variability, and coherence—were extracted from the phase difference data to assess synchrony dynamics. Results: Compared to the TD group, the ASD group exhibited significantly lower synchrony activity (ASD: 5.96 vs. TD: 9.63 times/min, p = 0.0008, Cohen’s d = 1.23), greater temporal variability (ASD: 384.4 ms vs. TD: 311.1 ms, p = 0.0036, d = 1.04), and reduced coherence (ASD: 0.13 vs. TD: 0.81, p = 0.036, d = 0.73). Although the mean phase difference did not differ significantly between groups, the ASD group displayed weaker and more irregular synchrony patterns, indicating impaired temporal stability. Conclusions: Our findings highlight robust impairments in nonverbal head motion synchrony in ASD, not only in frequency but also in terms of temporal stability and convergence. The use of phase-based synchrony features provides a continuous, high-resolution, language-independent metric for social timing. These metrics offer substantial potential as behavioral biomarkers for diagnostic support and intervention monitoring in ASD. Full article

Gaze tracking is gaining relevance in collaborative robotics as a means to enhance human–machine interaction by enabling intuitive and non-verbal communication. This study explores the integration of human gaze into collaborative robotics by demonstrating the possibility of controlling a robotic manipulator with a practical and non-intrusive setup made up of a vision system and gaze-tracking software. After presenting a comparison between the major available systems on the market, OpenFace 2.0 was selected as the primary gaze-tracking software and integrated with a UR5 collaborative robot through a MATLAB-based control framework. Validation was conducted through real-world experiments, analyzing the effects of raw and filtered gaze data on system accuracy and responsiveness. The results indicate that gaze tracking can effectively guide robot motion, though signal processing significantly impacts responsiveness and control precision. This work establishes a foundation for future research on gaze-assisted robotic control, highlighting its potential benefits and challenges in enhancing human–robot collaboration. Full article

In China, educators are encouraged by administrators to assume instructional and language strategies to align with their students’ needs so as to enhance classroom communicative effectiveness, with students’ perceptions of teachers’ behavior being a salient factor in this process. This study, based on communication accommodation theory, examines how students’ perceptions of teachers’ behaviors influence reports of positive classroom outcomes. Using structural equation modeling, we analyzed responses from a sample of 422 university students in Shanghai. The results showed that the students’ perceptions of teachers’ communication accommodation behaviors, such as verbal and nonverbal tactics, teaching content, and emotional support behaviors, significantly and positively impacted students’ learning effectiveness, teacher credibility, and communication satisfaction. Furthermore, teacher credibility partially mediated the relationship between perceptions of accommodation and learner effectiveness. The findings offer practical insights for educators by suggesting that strategic adaptions of communication accommodations behaviors can promote students’ learning outcomes. Full article

Background: Assessing pain in infants is challenging due to their inability to communicate discomfort. Accurate pain evaluation is essential, as unaddressed pain might lead to long-term neurological consequences. This study investigates the use of conventional two-site near-infrared spectroscopy (NIRS) to evaluate hemodynamic responses in the prefrontal cortex during nociceptive stimuli. Methods: Data were prospectively collected from ten infants undergoing elective heel lance/squeeze (HLS) after surgery. Continuous bilateral NIRS oxygenation monitoring was performed alongside cardiorespiratory and behavioral (Children’s and Infant’s Postoperative Pain Score (CHIPPS)) pain assessments before, during, and after HLS. The primary outcome was the correlation between NIRS response and CHIPPS. Results: The average gestational and postnatal ages were 39 weeks and 49 days. No significant changes in prefrontal oxygenation levels (left, right, combined, ipsilateral, contralateral) were observed during the first ten seconds of HLS compared with baseline. Although CHIPPS and heart rates increased, oxygenation levels remained unchanged throughout the entire HLS event. Significant fluctuations in oxygenation levels from baseline were recorded across all optode configurations, with changes in the lowest oxygenation levels at the contralateral and left hemispheres inversely correlated with CHIPPS and HR changes. Conclusions: While there were subtle alterations in NIRS signals suggesting potential nociceptive-evoked changes, these were inconclusive. By design, the utilized two-site conventional NIRS system may not effectively detect acute pain. Future studies on prefrontal cortical pain processing could benefit from confirmatory NIRS signals from the primary somatosensory and motor regions. Integrating data from fNIRS, fMRI, EEG, along with sympathetic indicators like skin conductance and heart rate variability, would improve the quantification of cortical pain processing in non-verbal infants. Full article

Background and Objectives: This study aimed to evaluate patients’ experiences in the intensive care unit (ICU) setting and investigate whether there was a correlation between these experiences and their nutritional status. Materials and Methods: This study included patients admitted to the respiratory ICU between 1 January 2023 and 31 December 2023. Only patients aged 18 years or older were eligible for inclusion. Written and verbal consent was obtained from all participants, while those unable to provide nonverbal communication were excluded from the study. The Intensive Care Experience Questionnaire (ICEQ), developed by Rattray et al. in 2004, was utilized to assess the overall experiences of ICU patients. Results: The ICEQ results were analyzed across four categories: awareness of surroundings, recall of experiences, frightening experiences, and satisfaction with care. A total score was generated by summing the scores of these four categories. While the initial parameters were analyzed as ordinal data, the results for the four subcategories and the total score followed a parametric distribution and were thus analyzed accordingly. Conclusions: These findings reinforce the hypothesis that nutritional support requirements play a critical role in shaping patients’ experiences in the ICU, regardless of their preadmission status. Adequate nutritional support was shown to have a positive effect on ICU experience. Full article

Children with autism spectrum disorder (ASD) commonly show difficulty in communication and daily functional skills. The use of scripts may help establish these repertoires. Scripts may be visual (e.g., pictures depicting actions), textual (e.g., printed or written sentences depicting actions), or auditory (e.g., recorded or dictated phrases depicting actions). Background/Objectives: The purpose was to assess the efficacy of script fading in establishing the vocal verbal emission of sentences under the control of pictures representing actions from four behavioral sequences (e.g., brushing teeth) in three children with ASD. The effects of the intervention on the emergence of related non-verbal repertoires were evaluated. During intervention, the scripts were textual for one participant, who initially read the sentences. For the remaining two participants, scripts were dictated to them so they could repeat them. Across sessions, scripts were faded out by gradually omitting the words from the sentences. Results: Script fading produced the emission of sentences solely in the presence of pictures (tacts according to a Skinnerian approach of language), replicating a previous study in which the same procedure also established the same type of repertoire. However, as an extension, in the current investigation, related non-verbal actions also emerged. Other previous studies into script fading were not specifically concerned with teaching tacts and probing the emergence of related non-verbal untaught repertoires. Conclusions: The data were interpreted as indicating correspondence between verbal and non-verbal behavior or “say-do” correspondence. The data were discussed in the sense that script fading, for some learners, may improve communication with sentences that impact the acquisition of related non-verbal behavioral chains. Limitations of the research were discussed. Full article

As non-humanoid robots develop and become more involved in human life, emotional communication between humans and robots will become more common. Non-verbal communication, especially through body movements, plays a significant role in human–robot interaction. To enable non-humanoid robots to express a richer range of emotions, it is crucial to understand how humans recognize the emotional movements of robots. This study focuses on the underlying mechanisms by which humans perceive the motion arousal levels of non-humanoid robots. It proposes a general hypothesis: Human recognition of a robot’s emotional movements is based on the perception of overall motion, and is independent of the robot’s mechanical appearance. Based on physical motion constraints, non-humanoid robots are divided into two categories: those guided by inverse kinematics (IK) constraints and those guided by forward kinematics (FK) constraints. Through literature analysis, it is suggested that motion amplitude has the potential to be a common influencing factor. Two psychological measurement experiments combined with the PAD scale were conducted to analyze the subjects’ perception of the arousal expression effects of different types of non-humanoid robots at various motion amplitudes. The results show that amplitude can be used for expressing arousal across different types of non-humanoid robots. Additionally, for non-humanoid robots guided by FK constraints, the end position also has a certain impact. This validates the overall hypothesis of the paper. The expression patterns of emotional arousal through motion amplitude are roughly the same across different robots: the degree of motion amplitude corresponds closely to the degree of arousal. This research helps expand the boundaries of knowledge, uncover user cognitive patterns, and enhance the efficiency of expressing arousal in non-humanoid robots. Full article

In today’s dynamic organizational environments, interpersonal conflict and social exclusion can significantly impact employee behavior and organizational effectiveness. This study explores the complex interplay between interpersonal conflict, workplace ostracism, and interpersonal deviance in Jordan’s public sector, emphasizing the moderating role of supervisors’ active empathic listening. Using the stressor–emotion model, conservation of resources (COR) theory, and conflict expression (CE) framework, this study examined these relationships through a two-wave survey design. Data were collected from 501 public sector employees using validated scales, and an analysis was conducted using SPSS and AMOS, with structural equation modeling employed for hypothesis testing. The findings reveal that interpersonal conflict strongly predicts workplace ostracism and interpersonal deviance. Workplace ostracism mediates the relationship between conflict and deviance, while supervisors’ active empathic listening moderates these effects, reducing the likelihood of deviant behaviors. These results underscore the importance of fostering empathetic leadership and inclusive workplace environments to mitigate conflict’s negative impact. This research contributes to understanding workplace dynamics by highlighting the critical role of supervisors in moderating conflict and ostracism. The findings have practical implications for public sector organizations. Beyond training programs, supervisors can implement active empathic listening in practical settings by regularly holding one-on-one meetings in which they actively listen to employee concerns, using verbal and non-verbal cues to show engagement, asking open-ended questions to encourage deeper discussion, reflecting employee emotions to validate their feelings, and following up on issues raised to demonstrate concrete action based on what they have heard; this creates a culture of open communication in which employees feel heard and valued, leading to increased employee engagement and improved problem-solving abilities. Full article

Artificial intelligence (AI) chatbots have been widely adopted in customer service, playing a crucial role in improving service efficiency, enhancing user experience, and elevating satisfaction levels. Current research on the impact of chatbots on consumers’ purchase decisions primarily focuses on linguistic communication features, with limited exploration into the non-verbal social cues employed by chatbots. By conducting three scenario-based experiments, this study investigates the mechanisms through which chatbot response strategies (proactive vs. reactive) and the use of emojis (yes vs. no) influence users’ purchase intention. The findings suggest that proactive response strategies by chatbots are more effective in strengthening users’ purchase intention compared to reactive strategies. Psychological distance and performance expectancy serve as significant mediators in this relationship. Additionally, the use of emojis moderates the effect of chatbot response strategies on psychological distance, while its moderating effect on performance expectancy is not significant. This study offers new insights into non-verbal social cues in chatbots, revealing the psychological mechanisms underlying the influence of chatbot response strategies on users’ purchase decisions and contributing to the limited evidence on visual symbols as moderating factors. Furthermore, the findings provide practical recommendations for businesses on optimizing chatbot interaction strategies to enhance user experience. Full article

Dentist–patient communication is at the core of providing quality dental care. This study aims to review the importance, challenges, strategies, and training of dentist–patient communication. The World Dental Federation (FDI) emphasizes the importance of effective communication between oral healthcare providers and patients as a critical component of high-quality care. Effective dentist–patient communication allows dentists to accurately and effectively pass on essential medical information to patients. It improves the dentist’s efficiency, boosts self-confidence, reduces occupational stress, and minimizes the risks of complaint or litigation. Moreover, it alleviates dental anxiety and fear, helps build trust between dentists and patients, addresses patients’ needs and preferences, increases patients’ adherence to improved treatment outcomes, and ultimately leads to enhanced patient satisfaction. Nonetheless, it has been widely acknowledged that dentists universally encounter the repercussions arising from suboptimal communication strategies. Time constraints, difficulties in establishing rapport, the oral-health illiteracy of the patients, the poor communication skills of the dentists, dentists’ perceptions, and language barriers often hinder dentist–patient communication. Dentists should take the patient-centered approach as a premise and acquire verbal and non-verbal communication skills to overcome these communication barriers. The patient-centered approach comprises the understanding of patients’ illness, shared decision-making, and intervention with mindfulness of the patient’s own pace. Simple, succinct, and jargon-free language should be used in verbal communication. Proper body postures and gestures are fundamental for showing positive attitudes towards patients. Communication training for dental students should involve a structured pedagogical approach that includes didactic instruction, role-playing exercises, patient interviewing, and ongoing assessments. Key components of effective communication skills training in dental education include motivational interviewing, open-ended questioning, affirmations, reflective listening, and summaries to enhance patient engagement and adherence to treatment plans. Full article

This paper presents the development of a robotic system for the rehabilitation and quality of life improvement of children with cerebral palsy (CP). The system consists of four modules and is based on a virtual humanoid robot that is meant to motivate and encourage children in their rehabilitation programs. The efficiency of the developed system was tested on two children with CP. The effect of using the robot is an increase in the number of exercise repetitions, as well as the time spent on therapy, developing and strengthening the child’s musculature. Additionally, the children are able to produce socially acceptable gestures in the context of non-verbal communication for socialization. The main advantages of this system are its flexibility and ease of use. Besides the proposed use in CP rehabilitation, this system can be used in the rehabilitation of people recovering from surgery or injuries. Use of the proposed system significantly decreases the work load of the therapist who would be conducting the repetitive motion, allowing the therapist to see an increased number of patients. In the future, the number of different movements the robot is able to perform will be increased by way of domain-specific modelling and language. Full article

Background: A specific deletion on the short arm of chromosome 5 (5p) is the hallmark of the rare genetic syndrome called Cri du Chat Syndrome (CdCS). It causes severe difficulty with swallowing, speech, motor skills, and cognitive deficiencies. These arise from characteristic laryngeal abnormalities and oral–motor dysfunctions. Objective: This study aims to investigate the effectiveness of speech and language intervention in addressing the multifaceted challenges of CdCS, including speech and language impairments, feeding difficulties, and social communication deficits. Methods: A narrative review was conducted to synthesize existing studies from the last 35 years on therapeutic interventions for individuals with CdCS. This review focused on interventions targeting speech, language, and swallowing therapy. Comprehensive searches were performed in the PubMed and Scopus databases using descriptors such as “Cri du Chat”, “swallowing disorders”, “speech disorders”, “speech and language disorders”, and “speech and language therapy.” From the identified records, 40 peer-reviewed English-language publications that addressed speech, language, and swallowing interventions were selected based on relevance and inclusion criteria. Data extraction was performed independently by four reviewers, working in two teams. Any disagreements between the teams were resolved through discussion with an independent researcher to ensure reliability and minimize bias. Results: The findings demonstrate that speech and language therapy (SLT) significantly enhances speech clarity, articulation, and oral–motor coordination. Augmentative communication systems effectively bridge gaps in nonverbal communication, fostering improved social interaction. Specific interventions reduce aspiration risks and improve feeding safety, enhancing the overall quality of life. Early multidisciplinary approaches and tailored therapeutic strategies are key to maximizing the benefits of SLT. Conclusions: SLT is crucial for improving communication, swallowing, and social integration in individuals with CdCS. Regular early intervention involving individualized programs and family participation is recommended to achieve optimal outcomes. Further research is needed to evaluate long-term effects and develop cultural and technologically adaptable therapies. Full article