Search Results (15)

In the context of Industry 4.0, user demands for industrial robots have shifted toward diversification and experience-orientation. Effectively integrating users’ affective imagery requirements into industrial-robot form design remains a critical challenge. Traditional methods rely heavily on designers’ subjective judgments and lack objective data on user cognition. To address these limitations, this study develops a comprehensive methodology grounded in Kansei engineering that combines Extenics-based semantic analysis, eye-tracking experiments, and user imagery evaluation. First, we used web crawlers to harvest user-generated descriptors for industrial floor-cleaning robots and applied Extenics theory to quantify and filter key perceptual imagery features. Second, eye-tracking experiments captured users’ visual-attention patterns during robot observation, allowing us to identify pivotal design elements and assemble a sample repository. Finally, the semantic differential method collected users’ evaluations of these design elements, and correlation analysis mapped emotional needs onto stylistic features. Our findings reveal strong positive correlations between four core imagery preferences—“dignified,” “technological,” “agile,” and “minimalist”—and their corresponding styling elements. By integrating qualitative semantic data with quantitative eye-tracking metrics, this research provides a scientific foundation and novel insights for emotion-driven design in industrial floor-cleaning robots. Full article

Background: Research indicates that traumatic events, such as interpersonal violence, can significantly affect how individuals perceive facial characteristics and assess trust. This study aims to explore trustworthiness and emotional perception in women experiencing intimate partner violence (IPV). Methods: Twenty-four women who have experienced IPV and twenty-four control participants completed an online task. They rated the trustworthiness of male and female faces, chose the more trustworthy face in a pairwise task, and identified emotions displayed by faces. Results: The results revealed that survivors of IPV showed lower accuracy in trustworthiness judgments, particularly for male faces, and in recognizing fear in male faces, compared to the control group. Conclusions: These preliminary findings, constrained by the limited sample size, are discussed in the context of the Pathological Affective Dependence theory and a perceptual model of social face perception, shedding light on the complex interplay between trauma, social perception, and emotional processing. Full article

With globalization and the transformation of socio-cultural structures, the focus of spatial design has shifted from functionality to perceptual experience and atmospheric creation. This study draws on the spatial perception theory and the phenomenology of perception to examine how sensory subjects perceive and respond to the physical attributes of space. It explores key elements that shape spatial experiences, including lighting, color, spatial form, sound, material, and scent, all of which contribute to the construction of emotional ambiance and the perceptual character of interior environments. Based on this foundation, this study proposes multi-sensory design strategies for interior spaces, including the following: (1) visual perception: modifying color and lighting to establish emotional ambiance and enhance spatial depth; (2) auditory perception: crafting soundscapes that deepen immersion; (3) tactile perception: designing both direct and indirect tactile experiences; and (4) olfactory and gustatory perception: incorporating scent design to evoke memory and forge emotional connections. To demonstrate the practical potential of these strategies, this study presents a conceptual design case of a coffee roasting factory in Suzhou. The design integrates visual, auditory, tactile, olfactory, and gustatory elements to enhance users’ overall spatial perception through multi-sensory coordination. This study ultimately seeks to provide theoretical insights into practical design strategies, highlighting the importance of perceptual experience in improving spatial quality and guiding future interior design practice. Full article

This study investigates how virtual reality (VR) experiences influence tourists’ intentions to visit Da Lat, Vietnam, as a botanical destination, emphasizing the mediating roles of enjoyment and immersion. By integrating flow theory with the Information Systems Success model, this research develops a comprehensive framework explaining how content quality, system quality, and VR vividness shape user engagement and travel intentions. Using Structural Equation Modeling (SEM), the study analyzes survey data from 231 valid responses out of 240 participants. The findings reveal that content quality, system quality, and vividness significantly enhance enjoyment and immersion, which subsequently have a positive impact on travel intentions. The study contributes to the tourism and consumer experience literature by demonstrating how multisensory engagement in VR fosters decision-making. Theoretical implications include extending flow theory within virtual tourism and highlighting the joint influence of technological and perceptual factors on user behavior. Practically, these insights inform tourism marketers on optimizing VR environments to evoke emotional engagement and enhance destination appeal through immersive technology. Full article

Consumer attitude shift and green transport advocacy in the sharing economy highlight shared two-wheeled electric scooters (STWESs) for short-distance commuting. Current designs often overlook user emotions and aesthetic alignment with product characteristics. A product design methodology is proposed in this study, constructing optimization models from both the functional experiential and perceptual visual layers. Utilizing context analysis theory (CAT) and the KANO model, an STWES contextual requirements optimization model is formulated. The expert method is then applied to identify five key design elements, generating a category diagram based on typical samples, followed by Kansei evaluation. Using quantitation theory type I (QT-1), regression equations are fitted to determine the impact of different design categories on Kansei evaluation. Illustrated in a campus setting, this approach optimizes the shared mobility experience, meeting college students’ aesthetic preferences. This method serves as a valuable reference for product design in diverse contexts. Full article

The widespread adoption of social networking sites (SNSs) has brought social-engineering victimisation (SEV) to the forefront as a significant concern in recent years. Common examples of social-engineering attacks include phishing websites, fake user accounts, fraudulent messages, impersonation of close friends, and malicious links shared through comments or posts on SNS platforms. The increasing number of SNS users is closely linked to a rise in SEV incidents. Consequently, it is essential to explore relevant theories, frameworks, and contributing factors to better understand this phenomenon. This study systematises and analyses 47 scholarly works on SEV in SNSs, examining theories, frameworks, and influencing factors. A total of 90 independent variables were identified and grouped into seven perspectives: socio-demographics, personality traits, socio-emotional factors, habitual factors, perceptual/cognitive factors, message characteristics, and sender characteristics; these were considered alongside mediating variables. The correlations between these variables and victimisation outcomes were evaluated, uncovering factors that increase vulnerability and highlighting contradictory findings in existing studies. This systematised analysis emphasises the limitations in current research and identifies future research directions in order to deepen the understanding of the factors influencing SEV. By addressing these gaps, this study aims to advance mitigation strategies and provide actionable insights to reduce SEV in SNS contexts. Full article

With people’s concern for health and the development of medical technology, medical products for children are gradually appearing in pharmacies and online stores. However, the appearance of most children’s household medical products tends to meet the needs of adults, which leads to low acceptance of medical products. This study aimed to explore 10- to 16-year-old children’s visual and tactile perception of different materials by researching the relationship between the psychological quantities of visual and tactile perception and the physical quantities of the material surface. Based on the theory of kansei engineering, we measured the physical quantities of nine materials used in insulin syringe products and administered a perceptual questionnaire test for children. By correlating subjective perceptions with the physical attributes of the materials’ surfaces, we determined a strong correlation between the visual and tactile psychological properties and the properties of the materials’ surfaces. Children clearly perceive materials, and materials with lower roughness can elicit calmness, while materials with higher gloss elicit negative emotions. This paper establishes an evaluation model and provides a scientific selection method for surface materials in different children’s household medical products. Full article

This essay raises a challenge for the perceptual theory of emotion. According to the perceptual theory, emotions are perceptual states that represent values. But if emotions represent values, something should explain why. In virtue of what do emotions represent the values they do? A psychosemantics would answer this, and that’s what the perceptual theorist owes us. To date, however, the only perceptual theorist to attempt a psychosemantics for emotion is Jesse Prinz. And Prinz’s theory, I argue, faces an important difficulty: It makes the pairing of any given emotion with its respective value entirely arbitrary. But that’s a problem. It seems—and this is a major contention of this essay—that an emotion, in virtue of how it feels, bears a natural or non-arbitrary link to the value it represents. And this datum makes it all the more difficult to provide a viable psychosemantics for the evaluative content of emotion. Full article

Cognitive Theories of emotions have enjoyed great popularity in recent times. Allegedly, the so-called Perceptual Theory constitutes the most attractive version of this approach. However, the Perceptual Theory has come under increasing pressure. There are at least two ways to deal with the barrage of objections, which have been mounted against the Perceptual Theory. One is to argue that the objections work only if one assumes an overly narrow conception of what perception consists in. On a better and more liberal understanding of perception, the objections lose their force. The other is to stress that the differences between emotions and sensory perceptions can be explained by focusing on a new analogy. As I will argue, emotions have interesting similarities with magnitude representations, such as the representation of distance. Such representations are plausibly thought to be analog and non-conceptual, but by contrast to sensory perceptions, such as colour perceptions, they do not lie at the sensory periphery. This new analogy makes room for a novel and attractive theory of emotions, the Receptive Theory, which allows for a positive and epistemologically fruitful characterization of emotions. Full article

The electric shaver market in China reach 26.3 billion RMB by 2021. Nowadays, in addition to functional satisfaction, consumers are increasingly focused on the emotional imagery conveyed by products with multiple-senses, and electric shavers are not only shaped to attract consumers, but their product sound also conveys a unique emotional imagery. Based on Kansei engineering and artificial neural networks, this research explored the emotional imagery conveyed by the sound of electric shavers. First, we collected a wide sample of electric shavers in the market (230 types) and obtained the consumers’ perceptual vocabulary (85,710 items) through a web crawler. The multidimensional scaling method and cluster analysis were used to condense the sample into 34 representative samples and 3 groups of representative Kansei words; then, the semantic differential method was used to assess the users’ emotional evaluation values. The sound design elements (including item and category) of the samples were collected and classified using Heardrec Devices and ArtemiS 13.6 software, and, finally, multiple linear and non-linear correlation prediction models (four types) between the sound design elements of the electric shaver and the users’ emotional evaluation values were established by the quantification theory type I, general regression neural network, back propagation neural network, and genetic algorithm-based BPNN. The models were validated by paired-sample t-test, and all of them had good reliability, among which the genetic algorithm-based BPNN had the best accuracy. In this research, four linear and non-linear Kansei prediction models were constructed. The aim was to apply higher accuracy prediction models to the prediction of electric shaver sound imagery, while giving specific and accurate sound design metrics and references. Full article

In analyzing the theoretical literature on managerial growth in the context of organizational change, an absence of research has been observed, especially that which comprehensively analyzes growth prospects and opportunities at the micro (individual), meso (group), and macro (organizational) levels, which considers organizational, social, emotional, and spiritual aspects. Therefore, one of the outstanding problems of this research was to select the relevant scientific literature to synthesize the theory and create a conceptual theoretical model based on it. The aim of this paper is to explore the context and preconditions for managerial growth during an organizational change at different levels and aspects of organizations. Therefore, six theoretical approaches from the fields of management, psychology, and education were chosen (Hiatt, Kotter, Kübler-Ross, Goleman, Mezirow, and Marcia). Conclusions provide insights into the context, aims, and directions of managerial growth within organizational change. First, the context of organizational change is understood as an educational environment that creates incentives for managerial growth at the macro, meso, and micro levels and encompasses the development of personal and professional skills and the conscious evolution of inner perceptions related to work. Second, managerial growth in the context of organizational change is targeted toward three objectives at the organizational, group, and individual levels: productivity, connection, and self-realization. Third, managerial growth in the context of organizational change is directed toward three dimensions: (1) the strategic-operational dimension overlaps with the development of leadership skills to ensure successful change implementation in the organization; (2) the social-emotional dimension overlaps with the development of psychosocial skills, enabling coping with challenges through relationships and an emotionally supportive workplace environment; and (3) the perceptual-spiritual dimension overlaps with the development of personal maturity and professional motivation, disclosing authentic performance during organizational change. These findings become a framework for further research but also provide practical guidelines for managers, HR specialists, and organizational leaders. Full article

Anxiety disorders cause mental distress and low wellbeing in many people worldwide. Theories of anxiety describe negative worldviews and self-views as maintaining factors of the disorders. Recent research in social cognition has found a link between depression and altered perceptual biases to emotions, but the same research on anxiety is still missing. In this study, we measured perceptual biases to emotional and self-related stimuli in sub-clinically anxious participants and healthy controls using a self-emotional shape-label matching task. Results demonstrate that anxious participants had a diminished perceptual self-bias compared with healthy controls. Furthermore, the severity of anxiety was related to an emotional bias towards valanced other-related stimuli. The findings confirm the hypothesis that anxious individuals display an altered self-prioritisation effect in comparison with healthy individuals and that anxiety severity is linked to altered responses to emotionally valanced others. These findings have potential implications for early diagnosis and treatment of anxiety disorders. Full article

Based on social exchange, rational choice, and perceptual choice theory, this paper examines the influence of professional competence, personal relationship, and their interaction on repeated purchase intention in the context of rural agricultural marketing. Adopting the survey method and hierarchical regression analysis, this study tested the hypotheses with a data set of 578 farmers from China, and assessed the robustness of the results by structural equation modelling. The results show that both personal relationship and professional competence have a significantly positive impact on repeated purchase intention while the interaction between the two has a significant negative effect on repeated purchase intention. The results expose the struggle farmers experience in choosing between emotional and rational thinking when making purchasing decisions in the urbanization and industrialization process of a rural area. The results also enrich the research on the marketing of agricultural resources and have important implications to agricultural retailers. Full article

Place emotion is an important factor in studying the behavioral intention of tourists. Based on the planning behavior theory and goal-oriented behavior model, this article combines the actual situation of rural tourist, expands the behavioral theory, and constructs the tourist behavior of place emotion. This paper takes the World Cultural Heritage Sites Xidi and Hongcun as research cases and uses Structural Equation Modeling (SEM) research methods. The results indicate that the constructed behavior intention of tourists traveling in rural areas gives a good explanation and goodness of fit. The influence of place emotion on behavioral intention is stronger than attitude, subjective norm, and perceptual behavior control. Through multiple mediation analysis, attitudes have partial mediating effects on place emotions, perceptual behavior control, and subjective norms, and the place emotion has the most significant among the indirect effects, followed by subjective norms and perceptual behavior control. The results provide reliable advice for the sustainable development of rural tourism. Full article

As a powerful and intelligent machine learning method, reinforcement learning (RL) has been widely used in many fields such as game theory, adaptive control, multi-agent system, nonlinear forecasting, and so on. The main contribution of this technique is its exploration and exploitation approaches to find the optimal solution or semi-optimal solution of goal-directed problems. However, when RL is applied to multi-agent systems (MASs), problems such as “curse of dimension”, “perceptual aliasing problem”, and uncertainty of the environment constitute high hurdles to RL. Meanwhile, although RL is inspired by behavioral psychology and reward/punishment from the environment is used, higher mental factors such as affects, emotions, and motivations are rarely adopted in the learning procedure of RL. In this paper, to challenge agents learning in MASs, we propose a computational motivation function, which adopts two principle affective factors “Arousal” and “Pleasure” of Russell’s circumplex model of affects, to improve the learning performance of a conventional RL algorithm named Q-learning (QL). Compared with the conventional QL, computer simulations of pursuit problems with static and dynamic preys were carried out, and the results showed that the proposed method results in agents having a faster and more stable learning performance. Full article