Pub Date : 2026-01-12DOI: 10.1016/j.actpsy.2025.106201
Mohamed Ismail Abdul Kader, Edward Morrison, Ana Gheorghiu
Sexual dimorphism, traditionally understood in terms of morphological and static traits, also extends to differences in human movement. This two-study paper explores the impact of correct or incorrect sex information and perceived sexual dimorphism on social perception with a focus on dynamic cues. In study 1, expectations were manipulated by providing correct and incorrect information about individuals' sex presented via motion-capture videos of walking and dancing. When the sex information is correct, aligning with dynamic cues, perceptions of attractiveness, competence, and warmth are significantly enhanced, suggesting the importance of top-down processes in interpreting social cues. The second study examined perception of sexual dimorphism in movement, showing that sexually dimorphic cues, such as gait and dance patterns, strongly influence perceptions of attractiveness and competence. Bothe studies used thirty-six participants each from Prolific. These findings underscore the role of both static and dynamic cues in shaping judgments related to sex, attractiveness, and social competence.
{"title":"Better when I'm dancin' — The role of dynamic cues, sex and sexual dimorphism in social perception","authors":"Mohamed Ismail Abdul Kader, Edward Morrison, Ana Gheorghiu","doi":"10.1016/j.actpsy.2025.106201","DOIUrl":"10.1016/j.actpsy.2025.106201","url":null,"abstract":"<div><div>Sexual dimorphism, traditionally understood in terms of morphological and static traits, also extends to differences in human movement. This two-study paper explores the impact of correct or incorrect sex information and perceived sexual dimorphism on social perception with a focus on dynamic cues. In study 1, expectations were manipulated by providing correct and incorrect information about individuals' sex presented via motion-capture videos of walking and dancing. When the sex information is correct, aligning with dynamic cues, perceptions of attractiveness, competence, and warmth are significantly enhanced, suggesting the importance of top-down processes in interpreting social cues. The second study examined perception of sexual dimorphism in movement, showing that sexually dimorphic cues, such as gait and dance patterns, strongly influence perceptions of attractiveness and competence. Bothe studies used thirty-six participants each from Prolific. These findings underscore the role of both static and dynamic cues in shaping judgments related to sex, attractiveness, and social competence.</div></div>","PeriodicalId":7141,"journal":{"name":"Acta Psychologica","volume":"263 ","pages":"Article 106201"},"PeriodicalIF":2.7,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145964740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.actpsy.2025.106084
Hong Zou , Mangting He , Zichuan Liu
In the context of rapid AI development, designers are increasingly integrating AI tools into traditional workflows, forming a collaborative rather than substitutive mode of tool usage. Grounded in the Push–Pull–Mooring (PPM) framework, this study investigates the key factors influencing designers' willingness for collaborative tool usage—defined as the intention to integrate AI tools while retaining traditional ones. Based on survey data from 404 professional designers analyzed through PLS-SEM, the results reveal that operational complexity and tool limitations intensify tool burnout, which in turn reduces collaborative willingness. Among pull factors, tool complementarity significantly enhances willingness, whereas perceived humanization—contrary to common assumptions—exerts a negative effect, indicating that excessive anthropomorphic features may undermine designers' sense of creative autonomy. Mooring factors such as tool trust, social influence, habit, and integration adaptability strongly promote collaboration between AI and traditional tools. These findings highlight the dual psychological burden of emotional fatigue and autonomy concerns in human–AI cooperation. The study extends the PPM framework beyond directional switching to explain multi-tool co-use behaviors and provides actionable insights for the design of AI-assisted tools that respect designers' creative agency while optimizing human–machine collaboration.
{"title":"Integrating AI design tools into traditional design workflows: A study on collaborative tool usage willingness based on the Push-Pull-Mooring framework","authors":"Hong Zou , Mangting He , Zichuan Liu","doi":"10.1016/j.actpsy.2025.106084","DOIUrl":"10.1016/j.actpsy.2025.106084","url":null,"abstract":"<div><div>In the context of rapid AI development, designers are increasingly integrating AI tools into traditional workflows, forming a collaborative rather than substitutive mode of tool usage. Grounded in the Push–Pull–Mooring (PPM) framework, this study investigates the key factors influencing designers' willingness for collaborative tool usage—defined as the intention to integrate AI tools while retaining traditional ones. Based on survey data from 404 professional designers analyzed through PLS-SEM, the results reveal that operational complexity and tool limitations intensify tool burnout, which in turn reduces collaborative willingness. Among pull factors, tool complementarity significantly enhances willingness, whereas perceived humanization—contrary to common assumptions—exerts a negative effect, indicating that excessive anthropomorphic features may undermine designers' sense of creative autonomy. Mooring factors such as tool trust, social influence, habit, and integration adaptability strongly promote collaboration between AI and traditional tools. These findings highlight the dual psychological burden of emotional fatigue and autonomy concerns in human–AI cooperation. The study extends the PPM framework beyond directional switching to explain multi-tool co-use behaviors and provides actionable insights for the design of AI-assisted tools that respect designers' creative agency while optimizing human–machine collaboration.</div></div>","PeriodicalId":7141,"journal":{"name":"Acta Psychologica","volume":"263 ","pages":"Article 106084"},"PeriodicalIF":2.7,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145964897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.actpsy.2025.106193
Jhon Camacho-Cruz , Elizabeth Ortiz Delgado , Manuela Gomez Hurtado , Nelson Enrique Barrios Jara
The Hospital School Program (HSP) is a quality educational model ensuring the right to education for hospitalized children. To explore how hospitalized children participating in a Hospital School Program (HSP) manifest competencies related to the LifeComp framework, particularly in the personal, social, and learning-to-learn domains. Using a mixed-methods approach, the study combined quantitative (LifeComp-based survey) and qualitative (thematic analysis) methods in a cohort design. Quantitative results from 37 exposed and 37 non-exposed patients showed significant correlations in the personal area for self-regulation (p = 0.024), flexibility (p < 0.001), and well-being (p = 0.006, p = 0.024). In the social area, significant correlations were found for empathy (p = 0.013), communication (p = 0.013), and collaboration (p < 0.05). In learning-to-learn, correlations were identified for growth mindset (p < 0.05), critical thinking (p = 0.017, p = 0.018), and learning management (p < 0.05). Qualitative analysis highlighted the program's contribution to children's personal, social, and learning-to-learn competencies. These exploratory findings suggest that the HSP may be associated with LifeComp development and provide a preliminary, reproducible model for supporting educational and socio-emotional outcomes in pediatric hospital settings.
{"title":"Hospital school program and LifeComp: An exploratory study of personal, social, and learning-to-learn competencies in hospitalized children","authors":"Jhon Camacho-Cruz , Elizabeth Ortiz Delgado , Manuela Gomez Hurtado , Nelson Enrique Barrios Jara","doi":"10.1016/j.actpsy.2025.106193","DOIUrl":"10.1016/j.actpsy.2025.106193","url":null,"abstract":"<div><div>The Hospital School Program (HSP) is a quality educational model ensuring the right to education for hospitalized children. To explore how hospitalized children participating in a Hospital School Program (HSP) manifest competencies related to the LifeComp framework, particularly in the personal, social, and learning-to-learn domains. Using a mixed-methods approach, the study combined quantitative (LifeComp-based survey) and qualitative (thematic analysis) methods in a cohort design. Quantitative results from 37 exposed and 37 non-exposed patients showed significant correlations in the personal area for self-regulation (<em>p</em> = 0.024), flexibility (<em>p</em> < 0.001), and well-being (<em>p</em> = 0.006, p = 0.024). In the social area, significant correlations were found for empathy (<em>p</em> = 0.013), communication (p = 0.013), and collaboration (<em>p</em> < 0.05). In learning-to-learn, correlations were identified for growth mindset (<em>p</em> < 0.05), critical thinking (<em>p</em> = 0.017, <em>p</em> = 0.018), and learning management (p < 0.05). Qualitative analysis highlighted the program's contribution to children's personal, social, and learning-to-learn competencies. These exploratory findings suggest that the HSP may be associated with LifeComp development and provide a preliminary, reproducible model for supporting educational and socio-emotional outcomes in pediatric hospital settings.</div></div>","PeriodicalId":7141,"journal":{"name":"Acta Psychologica","volume":"263 ","pages":"Article 106193"},"PeriodicalIF":2.7,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145964895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.actpsy.2026.106204
Arun Joshi , Srinivasan Sekar , Saini Das
Despite substantial investments in information and communication technologies (ICTs), governments worldwide continue to face challenges in their effective implementation across public service departments. This study examines the personal, organizational, and technological determinants of Crime and Criminal Tracking Network and Systems (CCTNS) usage among police officers and its impact on job performance. Using quantitative survey data collected from 447 police officers across seven districts in Rajasthan, India, the research integrates the Big Five personality traits, the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Task–Technology Fit (TTF) model, employing structural equation modeling and importance–performance analysis. Attitude is modeled as a integrative evaluative construct that mediates the effects of personality and expectancy beliefs on behavioral intention and actual use within an extended UTAUT framework. Results indicate that personality, attitude, and training significantly influence the actual ICTs use. Although performance expectancy and training had no significant direct effects on behavioral intention and actual use in a mandatory-use context, these relationships were fully mediated by attitude and behavioral intention, respectively. The actual ICTs use positively influences job performance, particularly when task–technology fit is high. This article makes three novel contributions. First, this paper studies a relatively unexplored form of ICT, i.e., CCTNS. Second, the unique characteristics and nature of the sample - police personnel. Third, this research observes a sharp deviation from the prior research in the form of a set of counterintuitive findings. This article advances technology adoption literature by integrating three theoretical models and relevant variables, demonstrating superior explanatory power. It offers actionable insights for technology providers, policymakers, training officials, police departments, and governments to enhance technology adoption and job performance by addressing personal, organizational, and technological factors.
{"title":"Examining personal, organizational and technological factors on job performance: A study on law enforcement officers","authors":"Arun Joshi , Srinivasan Sekar , Saini Das","doi":"10.1016/j.actpsy.2026.106204","DOIUrl":"10.1016/j.actpsy.2026.106204","url":null,"abstract":"<div><div>Despite substantial investments in information and communication technologies (ICTs), governments worldwide continue to face challenges in their effective implementation across public service departments. This study examines the personal, organizational, and technological determinants of Crime and Criminal Tracking Network and Systems (CCTNS) usage among police officers and its impact on job performance. Using quantitative survey data collected from 447 police officers across seven districts in Rajasthan, India, the research integrates the Big Five personality traits, the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Task–Technology Fit (TTF) model, employing structural equation modeling and importance–performance analysis. Attitude is modeled as a integrative evaluative construct that mediates the effects of personality and expectancy beliefs on behavioral intention and actual use within an extended UTAUT framework. Results indicate that personality, attitude, and training significantly influence the actual ICTs use. Although performance expectancy and training had no significant direct effects on behavioral intention and actual use in a mandatory-use context, these relationships were fully mediated by attitude and behavioral intention, respectively. The actual ICTs use positively influences job performance, particularly when task–technology fit is high. This article makes three novel contributions. First, this paper studies a relatively unexplored form of ICT, i.e., CCTNS. Second, the unique characteristics and nature of the sample - police personnel. Third, this research observes a sharp deviation from the prior research in the form of a set of counterintuitive findings. This article advances technology adoption literature by integrating three theoretical models and relevant variables, demonstrating superior explanatory power. It offers actionable insights for technology providers, policymakers, training officials, police departments, and governments to enhance technology adoption and job performance by addressing personal, organizational, and technological factors.</div></div>","PeriodicalId":7141,"journal":{"name":"Acta Psychologica","volume":"263 ","pages":"Article 106204"},"PeriodicalIF":2.7,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145964795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.actpsy.2026.106218
Wenlong Zhu , Tianxiang Li , Qingjun Li
The application of Generative Artificial Intelligence (GenAI) in higher education is expanding rapidly. However, little research focusses on the influence of students' beliefs on the application effectiveness of GenAI and their academic performance. This study combines the Belief-Action-Outcome (BAO) model and the Multimotive Information System Continuance (MISC) model to develop a theoretical framework. A mixed-methods approach, specifically the explanatory sequential design, was employed. In the quantitative stage, 724 valid questionnaires from students with GenAI usage experience were collected and the structural equation modeling technology was used. In the qualitative stage, 15 students from diverse backgrounds are interviewed. Three valuable findings are identified. First, design expectation fit has a significant positive impact on beliefs. Second, beliefs have a significant positive influence on continuous use. Third, continuous use has a significant positive effect on task performance and technical performance. The theoretical contribution of this study is that the theoretical model constructed by the research can reflect the whole process of the influence of students' beliefs in new information technology on their academic performance, which can provide practical implications for optimizing GenAI applications in education.
{"title":"The power of beliefs: How Generative Artificial Intelligence (GenAI) influences academic performance","authors":"Wenlong Zhu , Tianxiang Li , Qingjun Li","doi":"10.1016/j.actpsy.2026.106218","DOIUrl":"10.1016/j.actpsy.2026.106218","url":null,"abstract":"<div><div>The application of Generative Artificial Intelligence (GenAI) in higher education is expanding rapidly. However, little research focusses on the influence of students' beliefs on the application effectiveness of GenAI and their academic performance. This study combines the Belief-Action-Outcome (BAO) model and the Multimotive Information System Continuance (MISC) model to develop a theoretical framework. A mixed-methods approach, specifically the explanatory sequential design, was employed. In the quantitative stage, 724 valid questionnaires from students with GenAI usage experience were collected and the structural equation modeling technology was used. In the qualitative stage, 15 students from diverse backgrounds are interviewed. Three valuable findings are identified. First, design expectation fit has a significant positive impact on beliefs. Second, beliefs have a significant positive influence on continuous use. Third, continuous use has a significant positive effect on task performance and technical performance. The theoretical contribution of this study is that the theoretical model constructed by the research can reflect the whole process of the influence of students' beliefs in new information technology on their academic performance, which can provide practical implications for optimizing GenAI applications in education.</div></div>","PeriodicalId":7141,"journal":{"name":"Acta Psychologica","volume":"263 ","pages":"Article 106218"},"PeriodicalIF":2.7,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145964893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.actpsy.2026.106202
Chengyi Le , Zixin Wang , Jingya Wang , Ting Lu
User participation in value co-creation is a crucial guarantee for the successful operation of online brand communities. Based on the Cognition-Affect-Conation (C-A-C) theoretical framework, this study constructs a theoretical model of the influencing factors of user value co-creation behavior in online brand communities from both cognitive and affective perspectives. The model is empirically tested using Partial Least Squares Structural Equation Modeling (PLS-SEM), and multi-group analysis is employed to explore the differential effects across different types of platforms. The research findings reveal that information quality, interaction quality, and incentive mechanisms all have a significantly positive impact on user satisfaction, which in turn positively influences both autonomous value co-creation and sponsored value co-creation. User satisfaction plays a mediating role in this process. Meanwhile, normative mechanisms only exert a significantly positive effect on users' autonomous value co-creation and have no significant impact on sponsored value co-creation. Furthermore, there are differentiated effects between third-party platforms and official platforms in terms of users' autonomous value co-creation and sponsored value co-creation. Specifically, for autonomous value co-creation, the positive effects of information quality, interaction quality, and incentive mechanisms are more significant in third-party platform communities compared to official platform communities. Conversely, for sponsored value co-creation, the positive influence of perceptual factors is more significant in official platform communities than in third-party platform communities. These findings deepen the theoretical understanding of the formation mechanisms behind user value co-creation in different types of online brand communities and provide practical insights and references for the healthy and sustainable development of such communities.
{"title":"Spontaneity vs. suppression: Differential impacts of platform types on user value co-creation behavior in online brand communities","authors":"Chengyi Le , Zixin Wang , Jingya Wang , Ting Lu","doi":"10.1016/j.actpsy.2026.106202","DOIUrl":"10.1016/j.actpsy.2026.106202","url":null,"abstract":"<div><div>User participation in value co-creation is a crucial guarantee for the successful operation of online brand communities. Based on the Cognition-Affect-Conation (C-A-C) theoretical framework, this study constructs a theoretical model of the influencing factors of user value co-creation behavior in online brand communities from both cognitive and affective perspectives. The model is empirically tested using Partial Least Squares Structural Equation Modeling (PLS-SEM), and multi-group analysis is employed to explore the differential effects across different types of platforms. The research findings reveal that information quality, interaction quality, and incentive mechanisms all have a significantly positive impact on user satisfaction, which in turn positively influences both autonomous value co-creation and sponsored value co-creation. User satisfaction plays a mediating role in this process. Meanwhile, normative mechanisms only exert a significantly positive effect on users' autonomous value co-creation and have no significant impact on sponsored value co-creation. Furthermore, there are differentiated effects between third-party platforms and official platforms in terms of users' autonomous value co-creation and sponsored value co-creation. Specifically, for autonomous value co-creation, the positive effects of information quality, interaction quality, and incentive mechanisms are more significant in third-party platform communities compared to official platform communities. Conversely, for sponsored value co-creation, the positive influence of perceptual factors is more significant in official platform communities than in third-party platform communities. These findings deepen the theoretical understanding of the formation mechanisms behind user value co-creation in different types of online brand communities and provide practical insights and references for the healthy and sustainable development of such communities.</div></div>","PeriodicalId":7141,"journal":{"name":"Acta Psychologica","volume":"263 ","pages":"Article 106202"},"PeriodicalIF":2.7,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145964911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-10DOI: 10.1016/j.actpsy.2026.106206
Xu Wang , Jong-Mook Ahn , Chen Gong
Fitspiration content has become increasingly popular on visual social media platforms like RedNote (Xiaohongshu), presenting exercise, self-care, and body positivity as forms of health communication in the new media era. Despite these positive intentions, growing evidence suggests that such content may also be linked to psychological distress and unhealthy behaviors by reinforcing narrow appearance standards and encouraging social comparison. Guided by the Stimulus–Organism–Response framework and Social Comparison Theory, this study investigated associations between fitspiration exposure on RedNote and body dissatisfaction, compulsive exercise behavior, and eating disorder symptoms among 527 Chinese women aged 18 to 44. Using partial least squares structural equation modeling, we examined the mediating roles of appearance comparison and state self-esteem. Results indicated that fitspiration exposure was significantly associated with compulsive exercise and eating disorders, but not directly with body dissatisfaction. While appearance comparison partially explained these associations with behavioral outcomes, it did not account for body dissatisfaction patterns. State self-esteem emerged as a stronger mediator across all outcomes than comparison alone. These findings suggest that seemingly health-oriented social media content may be related to diminished wellbeing and highlight the complex ways in which new media environments are linked to health behaviors. The study underscores how digital platforms may be connected with self-evaluative processes that co-occur with problematic behaviors, raising important considerations for health communication in algorithm-driven contexts.
{"title":"Mirror, motivate, or mislead? How fitspiration on RedNote affects health behaviors through appearance comparisons and self-esteem","authors":"Xu Wang , Jong-Mook Ahn , Chen Gong","doi":"10.1016/j.actpsy.2026.106206","DOIUrl":"10.1016/j.actpsy.2026.106206","url":null,"abstract":"<div><div>Fitspiration content has become increasingly popular on visual social media platforms like RedNote (Xiaohongshu), presenting exercise, self-care, and body positivity as forms of health communication in the new media era. Despite these positive intentions, growing evidence suggests that such content may also be linked to psychological distress and unhealthy behaviors by reinforcing narrow appearance standards and encouraging social comparison. Guided by the Stimulus–Organism–Response framework and Social Comparison Theory, this study investigated associations between fitspiration exposure on RedNote and body dissatisfaction, compulsive exercise behavior, and eating disorder symptoms among 527 Chinese women aged 18 to 44. Using partial least squares structural equation modeling, we examined the mediating roles of appearance comparison and state self-esteem. Results indicated that fitspiration exposure was significantly associated with compulsive exercise and eating disorders, but not directly with body dissatisfaction. While appearance comparison partially explained these associations with behavioral outcomes, it did not account for body dissatisfaction patterns. State self-esteem emerged as a stronger mediator across all outcomes than comparison alone. These findings suggest that seemingly health-oriented social media content may be related to diminished wellbeing and highlight the complex ways in which new media environments are linked to health behaviors. The study underscores how digital platforms may be connected with self-evaluative processes that co-occur with problematic behaviors, raising important considerations for health communication in algorithm-driven contexts.</div></div>","PeriodicalId":7141,"journal":{"name":"Acta Psychologica","volume":"263 ","pages":"Article 106206"},"PeriodicalIF":2.7,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145951056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-10DOI: 10.1016/j.actpsy.2026.106213
Jair Caetano de Oliveira , Nayara Flores Macedo , Nzuzi Mayitondelua , Isabela Pietra Buccio , Mariele Kruppa , Paula Cristina Trevilatto , Paulo Henrique Couto Souza , Luciana Reis Azevedo-Alanis
Background
Facial lipoatrophy in people living with HIV/AIDS (PLWHA) may lead to body image dissatisfaction, social difficulties, and reduced self-esteem, potentially affecting adherence to antiretroviral therapy (ART). This study evaluated the influence of facial lipoatrophy on self-esteem in PLWHA.
Methods
Ninety-five adults with confirmed HIV diagnosis and on ART for at least six months completed the Sociodemographic and Clinical Health Characterization Form, Rosenberg Self-Esteem Scale, and Self-Perceived Body Changes Questionnaire. Facial Lipoatrophy Index (FLI) assessment was performed by physical examination. Statistical analyses included the Pearson chi-square, Kruskal-Wallis, and Student's t-test (p < 0.05).
Results
Participants were mostly men (77.9 %), homosexual (62.1 %), under 40 years (52.6 %), and caucasian (68.4 %). The most frequent ART regimen was an integrase inhibitor plus two nucleoside reverse transcriptase inhibitors (58.9 %). Severe facial lipoatrophy was significantly associated with zidovudine and efavirenz use, and mild cases with dolutegravir (p < 0.05). Most participants (76.8 %) reported body changes, mainly abdominal (71.2 %). The mean FLI was 2.15, and mean self-esteem score 31.98 ± 5.26; 67.4 % demonstrated high self-esteem. Caucasian participants had higher self-esteem (p < 0.05), but neither objective nor perceived facial fat loss significantly affected self-esteem (p > 0.05).
Conclusion
Facial lipoatrophy did not significantly impact self-esteem among PLWHA. Overall, participants exhibited high self-esteem regardless of facial changes or ART regimen, suggesting resilience and effective psychological adaptation within this sample.
{"title":"Association between facial lipoatrophy and self-esteem in people living with HIV/AIDS on antiretroviral therapy in Brazil: A cross-sectional study","authors":"Jair Caetano de Oliveira , Nayara Flores Macedo , Nzuzi Mayitondelua , Isabela Pietra Buccio , Mariele Kruppa , Paula Cristina Trevilatto , Paulo Henrique Couto Souza , Luciana Reis Azevedo-Alanis","doi":"10.1016/j.actpsy.2026.106213","DOIUrl":"10.1016/j.actpsy.2026.106213","url":null,"abstract":"<div><h3>Background</h3><div>Facial lipoatrophy in people living with HIV/AIDS (PLWHA) may lead to body image dissatisfaction, social difficulties, and reduced self-esteem, potentially affecting adherence to antiretroviral therapy (ART). This study evaluated the influence of facial lipoatrophy on self-esteem in PLWHA.</div></div><div><h3>Methods</h3><div>Ninety-five adults with confirmed HIV diagnosis and on ART for at least six months completed the Sociodemographic and Clinical Health Characterization Form, Rosenberg Self-Esteem Scale, and Self-Perceived Body Changes Questionnaire. Facial Lipoatrophy Index (FLI) assessment was performed by physical examination. Statistical analyses included the Pearson chi-square, Kruskal-Wallis, and Student's <em>t</em>-test (<em>p</em> < 0.05).</div></div><div><h3>Results</h3><div>Participants were mostly men (77.9 %), homosexual (62.1 %), under 40 years (52.6 %), and caucasian (68.4 %). The most frequent ART regimen was an integrase inhibitor plus two nucleoside reverse transcriptase inhibitors (58.9 %). Severe facial lipoatrophy was significantly associated with zidovudine and efavirenz use, and mild cases with dolutegravir (<em>p</em> < 0.05). Most participants (76.8 %) reported body changes, mainly abdominal (71.2 %). The mean FLI was 2.15, and mean self-esteem score 31.98 ± 5.26; 67.4 % demonstrated high self-esteem. Caucasian participants had higher self-esteem (<em>p</em> < 0.05), but neither objective nor perceived facial fat loss significantly affected self-esteem (<em>p</em> > 0.05).</div></div><div><h3>Conclusion</h3><div>Facial lipoatrophy did not significantly impact self-esteem among PLWHA. Overall, participants exhibited high self-esteem regardless of facial changes or ART regimen, suggesting resilience and effective psychological adaptation within this sample.</div></div>","PeriodicalId":7141,"journal":{"name":"Acta Psychologica","volume":"263 ","pages":"Article 106213"},"PeriodicalIF":2.7,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145923846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-10DOI: 10.1016/j.actpsy.2025.106128
Yi Yau , Ya Chun Shen , Lim Boon Hooi
This study investigates the pedagogical integration of Human Pose Estimation (HPE) tools in a university-level physical fitness practicum with 31 undergraduate students, aiming to enhance students' diagnostic reasoning, reflective engagement, and instructional interaction. Grounded in a three-week action research design, the study triangulates data from HPE diagnostic reports, student reflections, and instructor journals. Results reveal that AI-assisted visual feedback, when scaffolded by deliberate instructional strategies, supported a developmental shift from surface-level tool use to conceptual understanding and applied biomechanical reasoning. Students reported increased self-efficacy and analytic precision in movement assessment, while instructors adopted adaptive pedagogical roles as mediators of learning. The integration of HPE served not only as a measurement tool but as a cognitive visualization framework that fostered reflective learning and embodied professional thinking. Theoretically, the findings extend Deep Learning Theory by demonstrating how AI-mediated visualization externalizes metacognitive processes, reframe TPACK as a dynamic and situated practice, and propose an AI-augmented Cognitive Apprenticeship model. This study contributes to sustainable pedagogy by linking AI, instructional design, and reflective practice, aligning with SDG 3 (Health), SDG 4 (Quality Education), and SDG 10 (Reduced Inequalities). It offers a replicable model for leveraging emerging AI technologies to promote inclusive, learner-centered, and future-ready teaching in physical education and beyond.
{"title":"Leveraging human pose estimation for diagnostic feedback: Action research on instructional mediation and sustainable learning in coach education","authors":"Yi Yau , Ya Chun Shen , Lim Boon Hooi","doi":"10.1016/j.actpsy.2025.106128","DOIUrl":"10.1016/j.actpsy.2025.106128","url":null,"abstract":"<div><div>This study investigates the pedagogical integration of Human Pose Estimation (HPE) tools in a university-level physical fitness practicum with 31 undergraduate students, aiming to enhance students' diagnostic reasoning, reflective engagement, and instructional interaction. Grounded in a three-week action research design, the study triangulates data from HPE diagnostic reports, student reflections, and instructor journals. Results reveal that AI-assisted visual feedback, when scaffolded by deliberate instructional strategies, supported a developmental shift from surface-level tool use to conceptual understanding and applied biomechanical reasoning. Students reported increased self-efficacy and analytic precision in movement assessment, while instructors adopted adaptive pedagogical roles as mediators of learning. The integration of HPE served not only as a measurement tool but as a cognitive visualization framework that fostered reflective learning and embodied professional thinking. Theoretically, the findings extend Deep Learning Theory by demonstrating how AI-mediated visualization externalizes metacognitive processes, reframe TPACK as a dynamic and situated practice, and propose an AI-augmented Cognitive Apprenticeship model. This study contributes to sustainable pedagogy by linking AI, instructional design, and reflective practice, aligning with SDG 3 (Health), SDG 4 (Quality Education), and SDG 10 (Reduced Inequalities). It offers a replicable model for leveraging emerging AI technologies to promote inclusive, learner-centered, and future-ready teaching in physical education and beyond.</div></div>","PeriodicalId":7141,"journal":{"name":"Acta Psychologica","volume":"263 ","pages":"Article 106128"},"PeriodicalIF":2.7,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-10DOI: 10.1016/j.actpsy.2025.106194
Mengyun Yang , Jiabing Jin
With the significant advantages of Artificial Intelligence Generated Content (AIGC) in creativity, efficiency, and cost control, its application in the fashion design industry is rapidly advancing. However, designers' adoption behavior is not only influenced by these advantages but is also increasingly affected by psychological motives and perceived risk. This study constructs a comprehensive model integrating Self-Determination Theory (SDT), Technology Acceptance Model (TAM) and Perceived Risk Theory (PRT) to systematically explore the behavioral mechanisms of AIGC adoption among fashion designers. Based on data collected from 352 respondents, the study employed Partial Least Squares Structural Equation Modeling (PLS-SEM), incorporating control variable analysis to enhance model robustness. The results show that autonomy, competence, and relatedness significantly enhance designers' perceived usefulness and ease of use, which mediate their adoption intention, while perceived risk exerts a significant negative effect on perceived usefulness and behavioral intention. Prior AIGC experience also has a positive influence on adoption intention, confirming the robustness of the proposed model. These findings provide empirical evidence and practical guidance for optimizing the design and promotion of AIGC tools in the fashion industry.
{"title":"The adoption behavior of fashion designers toward AIGC: The interaction of psychological motivation and perceived risk","authors":"Mengyun Yang , Jiabing Jin","doi":"10.1016/j.actpsy.2025.106194","DOIUrl":"10.1016/j.actpsy.2025.106194","url":null,"abstract":"<div><div>With the significant advantages of Artificial Intelligence Generated Content (AIGC) in creativity, efficiency, and cost control, its application in the fashion design industry is rapidly advancing. However, designers' adoption behavior is not only influenced by these advantages but is also increasingly affected by psychological motives and perceived risk. This study constructs a comprehensive model integrating Self-Determination Theory (SDT), Technology Acceptance Model (TAM) and Perceived Risk Theory (PRT) to systematically explore the behavioral mechanisms of AIGC adoption among fashion designers. Based on data collected from 352 respondents, the study employed Partial Least Squares Structural Equation Modeling (PLS-SEM), incorporating control variable analysis to enhance model robustness. The results show that autonomy, competence, and relatedness significantly enhance designers' perceived usefulness and ease of use, which mediate their adoption intention, while perceived risk exerts a significant negative effect on perceived usefulness and behavioral intention. Prior AIGC experience also has a positive influence on adoption intention, confirming the robustness of the proposed model. These findings provide empirical evidence and practical guidance for optimizing the design and promotion of AIGC tools in the fashion industry.</div></div>","PeriodicalId":7141,"journal":{"name":"Acta Psychologica","volume":"263 ","pages":"Article 106194"},"PeriodicalIF":2.7,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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