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}
Pub Date : 2026-01-09DOI: 10.1016/j.actpsy.2026.106214
Zsófia Anna Gaál, Petia Kojouharova, István Czigler, Boglárka Nagy
Object contextual cueing is an implicit learning paradigm in which the repeated co-occurrence of certain objects facilitates target detection, even when their spatial arrangement varies. In three experiments – where participants performed a visual search task in which the target was accompanied by either consistently repeated or randomly varying distractors – we attempted to replicate Chun and Jiang's (1999) study. In Experiment 1 (using faces; N = 25, M = 20.8 years) and Experiment 2 (using abstract figures; N = 25, M = 20.8 years), although participants became faster and more accurate over time, no significant difference emerged between repeated and new configurations. Thus, using the same experimental design, we were unable to replicate the object contextual cueing effect. In Experiment 3, we tested whether search strategy influences the effect by instructing one group to adopt an active search strategy and another to use a passive one (N = 20 per group, M = 21.8 and 21.7 years, respectively; active: actively search for the target, passive: let the unique item pop out). However, the manipulation had no effect: the contextual cueing effect did not emerge in either group. Importantly, within each group we observed substantial individual differences – some participants showed a facilitation effect, others no effect, and some even showed a reverse pattern. These findings suggest that object contextual cueing may not be a robust or universal phenomenon and may instead depend on individual cognitive styles or learning tendencies.
对象上下文线索是一种内隐学习范式,在这种范式中,某些对象的重复共存有助于目标检测,即使它们的空间排列不同。在三个实验中,参与者执行一个视觉搜索任务,其中目标伴随着持续重复或随机变化的干扰物,我们试图复制Chun和Jiang(1999)的研究。在实验1(使用人脸,N = 25, M = 20.8年)和实验2(使用抽象图形,N = 25, M = 20.8年)中,尽管随着时间的推移,参与者的反应速度和准确度有所提高,但重复配置和新配置之间没有显著差异。因此,使用相同的实验设计,我们无法复制对象上下文提示效应。在实验3中,我们通过指示一组采用主动搜索策略,另一组采用被动搜索策略(N = 20 /组,M = 21.8和21.7年,主动:主动搜索目标,被动:让唯一的项目弹出)来检验搜索策略是否影响效果。然而,这种操作没有效果:语境线索效应在两组中都没有出现。重要的是,在每一组中,我们观察到实质性的个体差异——一些参与者表现出促进作用,另一些没有影响,有些甚至表现出相反的模式。这些发现表明,客体语境暗示可能不是一个强大的或普遍的现象,而是取决于个人的认知风格或学习倾向。
{"title":"Revisiting object contextual cueing: A replication study on implicit learning","authors":"Zsófia Anna Gaál, Petia Kojouharova, István Czigler, Boglárka Nagy","doi":"10.1016/j.actpsy.2026.106214","DOIUrl":"10.1016/j.actpsy.2026.106214","url":null,"abstract":"<div><div>Object contextual cueing is an implicit learning paradigm in which the repeated co-occurrence of certain objects facilitates target detection, even when their spatial arrangement varies. In three experiments – where participants performed a visual search task in which the target was accompanied by either consistently repeated or randomly varying distractors – we attempted to replicate <span><span>Chun and Jiang's (1999)</span></span> study. In Experiment 1 (using faces; <em>N</em> = 25, M = 20.8 years) and Experiment 2 (using abstract figures; N = 25, M = 20.8 years), although participants became faster and more accurate over time, no significant difference emerged between repeated and new configurations. Thus, using the same experimental design, we were unable to replicate the object contextual cueing effect. In Experiment 3, we tested whether search strategy influences the effect by instructing one group to adopt an active search strategy and another to use a passive one (<em>N</em> = 20 per group, M = 21.8 and 21.7 years, respectively; active: actively search for the target, passive: let the unique item pop out). However, the manipulation had no effect: the contextual cueing effect did not emerge in either group. Importantly, within each group we observed substantial individual differences – some participants showed a facilitation effect, others no effect, and some even showed a reverse pattern. These findings suggest that object contextual cueing may not be a robust or universal phenomenon and may instead depend on individual cognitive styles or learning tendencies.</div></div>","PeriodicalId":7141,"journal":{"name":"Acta Psychologica","volume":"263 ","pages":"Article 106214"},"PeriodicalIF":2.7,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924412","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 : 2026-01-09DOI: 10.1016/j.actpsy.2025.106158
Pradeep Kumar Roy
This research examines the psychological factors that contribute to consumer intentions toward smartwatches, with a particular focus on technology adoption and consumer behavior. It incorporates motivational and decision-making psychological theories to frame the area of research, highlighting important constructs such as health and fitness motivation, technological affinity, social influence, perceived value, and brand influence as predictors of purchase intention. Survey data are analysed using machine learning models, to identify the most significant psychological drivers influencing consumers against the purchase of wearables from a technological perspective. Among the machine learning models tested, the CatBoost classifier achieved the highest performance with an accuracy of 86 % and an AUC-ROC of 0.90, outperforming Random Forest, Gradient Boosting, and XGBoost. These results underscore the strong predictive ability of ensemble-based algorithms in identifying psychological and behavioural determinants of smartwatch purchase intention. The findings provide insights into how technological and psychological-social factors complement each other, shaping consumer behavior within the Psychology and Technology field. This research contributes to the understanding of technology adoption and underscores the pressing need for a holistic psychological perspective in the everyday world of wearables.
{"title":"Psychological factors in consumer intentions toward smartwatches: A study on technology adoption and behavior","authors":"Pradeep Kumar Roy","doi":"10.1016/j.actpsy.2025.106158","DOIUrl":"10.1016/j.actpsy.2025.106158","url":null,"abstract":"<div><div>This research examines the psychological factors that contribute to consumer intentions toward smartwatches, with a particular focus on technology adoption and consumer behavior. It incorporates motivational and decision-making psychological theories to frame the area of research, highlighting important constructs such as health and fitness motivation, technological affinity, social influence, perceived value, and brand influence as predictors of purchase intention. Survey data are analysed using machine learning models, to identify the most significant psychological drivers influencing consumers against the purchase of wearables from a technological perspective. Among the machine learning models tested, the CatBoost classifier achieved the highest performance with an accuracy of 86 % and an AUC-ROC of 0.90, outperforming Random Forest, Gradient Boosting, and XGBoost. These results underscore the strong predictive ability of ensemble-based algorithms in identifying psychological and behavioural determinants of smartwatch purchase intention. The findings provide insights into how technological and psychological-social factors complement each other, shaping consumer behavior within the Psychology and Technology field. This research contributes to the understanding of technology adoption and underscores the pressing need for a holistic psychological perspective in the everyday world of wearables.</div></div>","PeriodicalId":7141,"journal":{"name":"Acta Psychologica","volume":"263 ","pages":"Article 106158"},"PeriodicalIF":2.7,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145923859","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 : 2026-01-09DOI: 10.1016/j.actpsy.2026.106216
Sanjida Haque
<div><h3>Objective</h3><div>This bibliometric and science mapping study aimed to: (i) map the global research on TikTok and young adults, (ii) identify the main themes related to mental health, cognitive functioning, sleep, and academic or social outcomes, (iii) analyze collaboration and citation networks, and (iv) highlight gaps and future directions in this emerging field.</div></div><div><h3>Methods</h3><div>A comprehensive search of Scopus and the Web of Science Core Collection identified peer reviewed articles, reviews, and proceedings papers published between 2016 and 2025 that focused on TikTok or Douyin use among young adults aged approximately 18 to 35 years and reported psychological, cognitive, sleep, academic, or social or behavioral outcomes. After deduplication and screening against predefined eligibility criteria, 53 publications were included. Following BIBLIO recommendations for bibliometric reviews, we conducted performance analyses and science mapping using bibliometrix in R and VOSviewer. Analyses covered annual output, leading sources, authors, institutions, and countries, as well as keyword co-occurrence, co authorship, citation and co citation networks, and thematic evolution across two time slices (2016 to 2020 and 2021 to 2025).</div></div><div><h3>Results</h3><div>The initial search yielded 610 records, of which 53 met all inclusion criteria. Publications were scarce before 2019, then increased sharply, with a peak around 2023. Most studies originated from high income countries, particularly the United States, China, and the United Kingdom, while low- and middle-income countries were underrepresented. Keyword co-occurrence and thematic mapping revealed five recurring clusters: (1) mental health and anxiety, (2) sleep disruption and digital addiction, (3) academic engagement and performance, (4) attention and cognition, and (5) body image and self-esteem. Thematic evolution analyses showed a shift from general social media research and exploratory work in 2016 to 2020 toward TikTok specific investigations from 2021 onward that focused on problematic use, sleep disruption, procrastination, and body dissatisfaction, alongside emerging interest in digital wellbeing and body positive content.</div></div><div><h3>Conclusion</h3><div>Bibliometric mapping indicates that research on TikTok and young adults has expanded rapidly but remains limited in volume and dominated by cross sectional designs and high-income settings. Mental health and sleep related outcomes occupy a central position, with growing attention to academic performance, attention, and body image. Important gaps include longitudinal evidence, experimental or causal designs, systematic examination of beneficial uses of TikTok, and more contributions from low- and middle-income countries. The present analysis offers a structured overview of the field and a roadmap for future interdisciplinary research, with implications for educators, clinicians, and policymakers con
这项文献计量学和科学测绘研究旨在:(i)绘制关于TikTok和年轻人的全球研究地图,(ii)确定与心理健康、认知功能、睡眠、学术或社会成果相关的主题,(iii)分析合作和引文网络,(iv)突出这一新兴领域的差距和未来方向。方法对Scopus和Web of Science核心合集进行全面搜索,确定了2016年至2025年间发表的同行评议文章、评论和论文集,这些文章、评论和论文集关注的是年龄在18至35岁之间的年轻人使用抖音或抖音,并报告了心理、认知、睡眠、学术或社会或行为结果。经过重复数据删除和预先确定的资格标准筛选后,纳入了53份出版物。根据BIBLIO对文献计量学综述的建议,我们使用R和VOSviewer中的bibliometrix进行了性能分析和科学映射。分析涵盖了年度产出、主要来源、作者、机构和国家,以及关键词共现、合著、被引和共引网络,以及两个时间段(2016年至2020年和2021年至2025年)的主题演变。结果初步检索得到610条记录,其中53条符合全部纳入标准。在2019年之前,出版物很少,然后急剧增加,在2023年左右达到峰值。大多数研究来自高收入国家,特别是美国、中国和英国,而低收入和中等收入国家的代表性不足。关键词共现和主题映射揭示了五个反复出现的集群:(1)心理健康与焦虑,(2)睡眠中断与数字成瘾,(3)学业投入与表现,(4)注意力与认知,以及(5)身体形象与自尊。主题演变分析显示,从2016年到2020年的一般社交媒体研究和探索性工作,到2021年以后的TikTok具体调查,重点是有问题的使用、睡眠中断、拖延和身体不满,以及对数字健康和身体积极内容的新兴兴趣。文献计量映射表明,关于TikTok和年轻人的研究迅速扩大,但数量仍然有限,主要是横断面设计和高收入环境。随着人们对学习成绩、注意力和身体形象的日益关注,心理健康和睡眠相关的结果占据了中心地位。重要的差距包括纵向证据、实验或因果设计、对TikTok有益用途的系统研究,以及来自低收入和中等收入国家的更多贡献。本分析提供了该领域的结构化概述和未来跨学科研究的路线图,对关注年轻人数字生活的教育工作者、临床医生和政策制定者具有启示意义。
{"title":"TikTok and young adults: A decade of research on mental health, cognition, sleep, and social outcomes (2016–2025)","authors":"Sanjida Haque","doi":"10.1016/j.actpsy.2026.106216","DOIUrl":"10.1016/j.actpsy.2026.106216","url":null,"abstract":"<div><h3>Objective</h3><div>This bibliometric and science mapping study aimed to: (i) map the global research on TikTok and young adults, (ii) identify the main themes related to mental health, cognitive functioning, sleep, and academic or social outcomes, (iii) analyze collaboration and citation networks, and (iv) highlight gaps and future directions in this emerging field.</div></div><div><h3>Methods</h3><div>A comprehensive search of Scopus and the Web of Science Core Collection identified peer reviewed articles, reviews, and proceedings papers published between 2016 and 2025 that focused on TikTok or Douyin use among young adults aged approximately 18 to 35 years and reported psychological, cognitive, sleep, academic, or social or behavioral outcomes. After deduplication and screening against predefined eligibility criteria, 53 publications were included. Following BIBLIO recommendations for bibliometric reviews, we conducted performance analyses and science mapping using bibliometrix in R and VOSviewer. Analyses covered annual output, leading sources, authors, institutions, and countries, as well as keyword co-occurrence, co authorship, citation and co citation networks, and thematic evolution across two time slices (2016 to 2020 and 2021 to 2025).</div></div><div><h3>Results</h3><div>The initial search yielded 610 records, of which 53 met all inclusion criteria. Publications were scarce before 2019, then increased sharply, with a peak around 2023. Most studies originated from high income countries, particularly the United States, China, and the United Kingdom, while low- and middle-income countries were underrepresented. Keyword co-occurrence and thematic mapping revealed five recurring clusters: (1) mental health and anxiety, (2) sleep disruption and digital addiction, (3) academic engagement and performance, (4) attention and cognition, and (5) body image and self-esteem. Thematic evolution analyses showed a shift from general social media research and exploratory work in 2016 to 2020 toward TikTok specific investigations from 2021 onward that focused on problematic use, sleep disruption, procrastination, and body dissatisfaction, alongside emerging interest in digital wellbeing and body positive content.</div></div><div><h3>Conclusion</h3><div>Bibliometric mapping indicates that research on TikTok and young adults has expanded rapidly but remains limited in volume and dominated by cross sectional designs and high-income settings. Mental health and sleep related outcomes occupy a central position, with growing attention to academic performance, attention, and body image. Important gaps include longitudinal evidence, experimental or causal designs, systematic examination of beneficial uses of TikTok, and more contributions from low- and middle-income countries. The present analysis offers a structured overview of the field and a roadmap for future interdisciplinary research, with implications for educators, clinicians, and policymakers con","PeriodicalId":7141,"journal":{"name":"Acta Psychologica","volume":"263 ","pages":"Article 106216"},"PeriodicalIF":2.7,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145923860","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}