Computers in human behavior reports最新文献

{"title":"Rule-based chatbot application for adolescents with anxiety: a feasibility study","authors":"Smiti Kahlon ,&nbsp;Robin Gulseth ,&nbsp;Tine Nordgreen","doi":"10.1016/j.chbr.2026.101085","DOIUrl":"10.1016/j.chbr.2026.101085","url":null,"abstract":"<div><h3>Introduction</h3><div>Anxiety is one of the most common psychiatric disorders and the symptoms typically onset in adolescence. The symptoms may persist into adulthood, leading to comorbid disorders, poorer life quality and function impairments. Scalable, early interventions may reduce its negative impact on adolescents. The study evaluated the feasibility of a novel, digital health intervention for adolescents with anxiety symptoms to inform future randomized controlled trial.</div></div><div><h3>Methods</h3><div>This study investigated feasibility aspects, including preliminary clinical outcomes, in an open pre – post design with 1- and 3-month follow-up. The intervention consisted of a therapist-guided, rule-based chatbot mobile application. A total of 25 adolescents aged 13 to 16 participated, including complementary data collection from their parents.</div></div><div><h3>Results</h3><div>The intervention showed high adherence, with 72 % of participants completing all modules. The intervention demonstrated high acceptability and credibility, with all 17 respondents at post-assessment reporting that they would recommend the application to a friend with similar challenges. The adolescents reported a decrease in anxiety symptoms and functional impairment from pre to post. However, the symptom reduction was not maintained at follow-up. Parent-reported measurements indicated improvement in adolescents’ anxiety and depressive symptoms, as well as improvement in daily functioning.</div></div><div><h3>Discussion</h3><div>The findings support the feasibility, acceptability and usability of a rule-based chatbot intervention for adolescents with anxiety symptoms. However, temporary symptom reduction reported by adolescents suggests the need for app refinement before progressing to a randomized controlled trial. Adjustments include enhancing engagement in the therapeutic components of the application such as exposure tasks, cognitive restructuring and enhancing parental involvement.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"22 ","pages":"Article 101085"},"PeriodicalIF":5.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147802587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human-robot interaction based on artificial intelligence in clinical healthcare centers: A systematic review and meta-analysis","authors":"Mohammad Milad Shafaie ,&nbsp;Alireza Salehnia ,&nbsp;Negin Moslem ,&nbsp;Vahid Shafaie ,&nbsp;Majid Movahedi Rad","doi":"10.1016/j.chbr.2026.101080","DOIUrl":"10.1016/j.chbr.2026.101080","url":null,"abstract":"<div><div>The integration of artificial intelligence (AI) into human-robot interaction (HRI) in healthcare has fundamentally revolutionized the emotional, social, and cognitive interaction between humans and robotic systems. This systematic review examines how AI-powered healthcare bots affect patient trust, therapeutic alliance, and user bonding. A PRISMA-compliant literature search was conducted in five major databases: PubMed, Scopus, IEEE Xplore, Springer, and MDPI, covering studies published in English between 2010 and 2025. The inclusion criteria targeted experimental research, including evaluation studies, of AI-enhanced HRI in clinical and assistive fields. Reviews, non-experimental work, and studies without AI integration were excluded. Methodological quality and risk of bias were assessed using the revised Cochrane Risk of Bias tool for randomized trials (RoB 2), while robvis was used to generate visual summaries of the risk-of-bias assessments. Meta-analysis calculated Diagnostic Odds Ratios (95% CI) for reported diagnostic outcomes. Bibliometric visualization was performed using VOSviewer. The results show that visualized and emotionally intelligent robots outperformed virtual agents in delivering emotional security and therapeutic value. However, diagnostic accuracy was low (AUC≈0.39; pooled specificity = 0.53) with substantial heterogeneity (I² ˜ 68%), and meta-regression identified no significant moderators, leaving residual variability (τ² = 0.479). Gaps between user expectations and responsiveness limited engagement, and limited longitudinal designs restricted long-term insights. RoB 2 indicated moderate methodological variability. Despite these constraints, culturally adaptive robotic systems enhance clinical communication and patient trust, underscoring the importance of personalization and emotional intelligence in future AI healthcare robots.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"22 ","pages":"Article 101080"},"PeriodicalIF":5.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147802689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decoding medical students’ attitudes toward ChatGPT: Psychometric evaluation of the Persian version of the attitudes toward ChatGPT questionnaire","authors":"Haniye Mastour ,&nbsp;Maryam Moghadasin ,&nbsp;S. Ayhan Caliskan ,&nbsp;Fatemeh Keshavarz ,&nbsp;Mohammad Mehdi Shadravan ,&nbsp;Somaye Sohrabi","doi":"10.1016/j.chbr.2026.101069","DOIUrl":"10.1016/j.chbr.2026.101069","url":null,"abstract":"<div><h3>Background</h3><div>The rapid emergence of generative AI like ChatGPT in medical education necessitates understanding student attitudes for its effective integration. This study aimed to translate, culturally adapt, and validate the Persian version of the Attitudes toward ChatGPT (CAS) scale to address this need.</div></div><div><h3>Methods</h3><div>A cross-sectional methodological study was conducted with 421 undergraduate medical students from Iranian medical universities. The 21-item CAS developed by Yu et al. (2024) was translated and adapted following Beaton's cross-cultural validation framework. Data were analyzed using exploratory (EFA) and confirmatory factor analyses (CFA) with maximum likelihood estimation. Internal consistency was examined using Cronbach's α and McDonald's ω; convergent and discriminant validity were assessed via composite reliability (CR), average variance extracted (AVE), and the Fornell–Larcker criterion.</div></div><div><h3>Results</h3><div>EFA supported the original five-factor structure—Tool, Tutor, Threat, Talk, and Trend—accounting for 44% of total variance (KMO = 0.81; RMSEA = 0.049). CFA confirmed acceptable model fit (χ²/df = 2.08; CFI = 0.922; TLI = 0.905; RMSEA = 0.051). Reliability was satisfactory across subscales (α = 0.63–0.82; ω = 0.67–0.84). Convergent validity was strong for Talk (AVE = 0.69) and Trend (AVE = 0.57), while discriminant validity was mostly supported, except for partial overlap between Tool and Tutor. One item (Q21) demonstrated a Heywood case and requires refinement.</div></div><div><h3>Conclusion</h3><div>The Persian version of the CAS demonstrates preliminary psychometric support for assessing medical students’ attitudes toward ChatGPT, with an interpretable five-factor structure and acceptable overall model fit. However, item-level instability, suboptimal convergent validity for several subscales, and conceptual overlap between the Tool and Tutor dimensions indicate that the scale requires further refinement. Accordingly, the Persian CAS should be considered a developing measurement framework, suitable for exploratory research and construct-level investigation, rather than a finalized instrument for applied or high-stakes educational use.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"22 ","pages":"Article 101069"},"PeriodicalIF":5.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147802588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Caught in the storm: A qualitative study on digital hate targeting scholars","authors":"Maryam Khaleghipour,&nbsp;Kevin Koban,&nbsp;Jörg Matthes","doi":"10.1016/j.chbr.2026.101059","DOIUrl":"10.1016/j.chbr.2026.101059","url":null,"abstract":"<div><div>Social media has become a platform where scholars experience digital hate targeting both their research and personal lives. Extending the transactional model of stress and coping (TMSC) to address the unique challenges of fast-evolving digital hate victimization (DHV), we draw on 24 qualitative interviews with scholars from Austria, France, Hungary, and Sweden. The study explores hateful communication, scholars’ understanding of digital hate, its consequences, and their coping strategies. Our findings reveal that scholars frequently face qualitatively distinct forms of digital hate simultaneously, including incivility, intolerance, and threats, delivered in overlapping and cumulative forms, often in overwhelming quantities, leading to both short- and long-term psychological and professional consequences. Consequently, many resort to limiting their social media presence and public visibility as a coping strategy, which, in turn, diminishes their willingness to engage in science communication and interact with the public. These findings underscore the urgent need for stronger institutional and policy measures to safeguard scholars’ well-being and protect academic freedom in digitally mediated public spheres.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"22 ","pages":"Article 101059"},"PeriodicalIF":5.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147802589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Messaging matters: Investigating differences in WhatsApp communication patterns across different relationship constellations","authors":"Julian Kohne ,&nbsp;Christian Montag","doi":"10.1016/j.chbr.2026.100996","DOIUrl":"10.1016/j.chbr.2026.100996","url":null,"abstract":"<div><div>A substantial proportion of everyday communication in close, interpersonal relationships happens through mobile instant messaging (MIM) services such as WhatsApp. So far, only few studies have focused on relationship-level differences with respect to chatting behavior. Our study seeks to address this gap by combining survey data (N = 357) with donated dyadic WhatsApp chat logs (N = 142) to investigate differences in chatting behavior across different relationship constellations defined by gender combinations, relationship types, and levels of interpersonal closeness. Results show that behavioral metrics representing messaging frequency, expressiveness, reciprocity, and timing substantially vary for different relationship constellations. Using Elastic Net and Random Forest models, the gender combination of chatters and relationship type, but not interpersonal closeness, could be predicted from chatting behavior with significantly better performance than a naïve baseline model. We contextualize our findings regarding the literature on interpersonal relationship and communication research, discuss limitations of this study, and provide recommendations for future work.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"22 ","pages":"Article 100996"},"PeriodicalIF":5.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147802590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital sustainability influencer communication and green lifestyle adoption: A moderated-mediation model of perceived behavioural feasibility and influencer–follower value alignment","authors":"Francis Fonyee Nutsugah,&nbsp;Jewel Dela Novixoxo","doi":"10.1016/j.chbr.2026.101075","DOIUrl":"10.1016/j.chbr.2026.101075","url":null,"abstract":"<div><div>Digital influencers have become prominent voices in environmental advocacy, yet little is known about the psychological processes through which their messages translate into everyday green practices, particularly in African contexts characterised by affordability, access, and infrastructure constraints, such as Ghana. Grounded in the theory of planned behaviour and social cognitive theory, we investigated whether digital sustainability influencer communication encourages green lifestyle adoption through perceived behavioural feasibility and whether this indirect pathway is contingent on influencer–follower value alignment. We surveyed 827 Ghanaian social-media users at three time points (baseline, +2 weeks, +4 weeks) to separate measurement of the focal predictor, mediator, and outcome, align with the theorised temporal ordering, and reduce common method bias, and analysed the data with partial least squares structural equation modelling and 10 000 bias-corrected bootstrap resamples. The results show that influencer communication is positively associated with perceived behavioural feasibility, which in turn predicts green lifestyle adoption; the indirect pathway accounts for a substantive share of the total effect. Value alignment strengthens both the direct influence of influencer communication on behaviour and its feasibility-building impact, yielding a significant moderated-mediation pattern. Predictive-oriented model comparisons confirm that adding the moderator improves out-of-sample accuracy and information criteria. Multi-group analysis indicates that the overall process operates similarly among Ghanaian university students and non-student young adults, although value alignment exerts a stronger effect on perceived behavioural feasibility for students. By identifying perceived behavioural feasibility as the key conduit and value alignment as a relational boundary condition, the study integrates observational learning and perceived behavioural control and self-efficacy-related beliefs into a single conditional process, clarifying how sustainability-focused influencer communication may support gradual shifts towards greener everyday living among young adults in Ghana.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"22 ","pages":"Article 101075"},"PeriodicalIF":5.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147802586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technostress and employee well-being: A systematic review of empirical evidence","authors":"Ezgi Mansuroğlu,&nbsp;Andrew P. Smith","doi":"10.1016/j.chbr.2026.100941","DOIUrl":"10.1016/j.chbr.2026.100941","url":null,"abstract":"<div><div>As technology continues to reshape industries, understanding the effects of technostress on employee well-being becomes imperative. While research on technostress has grown substantially in recent years, existing studies are often fragmented in scope and limited in cross-contextual depth. In this systematic review, we synthesized the findings of 201 (after the double screening) peer-reviewed empirical studies, primarily retrieved from the PubMed, Scopus, and Web of Science databases, to map technostress along the four analytical dimensions: its core components, its impact on well-being, key mediating and moderating variables, and contextual variations. Our findings demonstrated that the relationship between technostress and employee well-being has been most frequently studied in Germany, Italy, and India, with education and healthcare emerging as the most commonly examined sectors. Furthermore, techno-overload and techno-invasion were the most reported technostressors linked to adverse well-being indicators across the studies. Our analysis revealed an underrepresentation of cross-national and cross-cultural comparisons in the existing literature. Drawing on these insights, this review advances the literature by introducing the Demands-Resources-Individual Effects (DRIVE) model as a coherent integrative framework for studying technostress and well-being. The model provides a theoretically grounded explanation of how digital demands, personal resources, and individual differences interact to shape well-being outcomes. Combined with the Well-being Process Questionnaire (WPQ), it also offers a practical, validated approach for assessing these mechanisms in diverse organizational contexts.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"21 ","pages":"Article 100941"},"PeriodicalIF":5.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146076882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Click, eat, repeat: Understanding brand loyalty in Vietnam's online food delivery sector","authors":"Tuan Hai Nguyen","doi":"10.1016/j.chbr.2026.100956","DOIUrl":"10.1016/j.chbr.2026.100956","url":null,"abstract":"<div><div>This study aims to explore the psychological mechanisms that influence brand loyalty behavior in the online food delivery (OFD) sector, with a focus on the roles of brand satisfaction and brand image in shaping brand loyalty. Based on the Stimulus–Organism–Response (S–O–R) framework, the research analyzes how factors such as e-service quality and perceived food quality affect internal psychological responses, thereby leading to brand loyalty. Data was collected in a single phase, with a total of 335 OFD users in Vietnam who had used the service within the past three months. The structural equation modeling (SEM) method was used to test the research hypotheses. The results show that both e-service quality and perceived food quality significantly enhance brand satisfaction and brand image, which subsequently strengthen brand loyalty. Practically, the study provides insights for OFD platforms to improve operational performance, ensure consistent food quality, and build a trustworthy and distinctive brand image. Theoretically, the research applies and empirically supports the S–O–R framework to digital service contexts in developing economies, highlighting the influence of perceptual and psychological factors on non-contact brand loyalty behavior.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"21 ","pages":"Article 100956"},"PeriodicalIF":5.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146076881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"User experience (UX) meets bureaucracy: Lessons from a government intranet prototype","authors":"Scott Pelham,&nbsp;Jo Jung,&nbsp;Christopher Kueh","doi":"10.1016/j.chbr.2026.100946","DOIUrl":"10.1016/j.chbr.2026.100946","url":null,"abstract":"<div><div>Implementing user experience (UX) methodologies within government settings is both possible and powerful – but fraught with systemic and cultural complexities. This report presents insights from the redesign of a government intranet for a prominent Australian emergency services organisation, using a human-centred design approach grounded in the Double Diamond framework. The research reveals a series of challenges: bureaucracy, opinion bias, overwhelming content volume with minimal organisational value, a governance paradox where design rules are desired but selectively applied, a disconnect in engagement from key stakeholders, and the impact of a design by committee approach. While these challenges were significant, they did not hinder progress; rather, they paved the way for valuable opportunities for UX practitioners. The study demonstrated UX methods can be used to enhance organisational self-awareness, governance can be restructured to support – not hinder – usability, and sustained stakeholder engagement can be achievable with the right methods and framing. The findings also highlight a broader lesson: although government environments often present greater resistance to change, user experience practices can serve as powerful catalysts when thoughtfully aligned with institutional constraints.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"21 ","pages":"Article 100946"},"PeriodicalIF":5.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146076879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing human-AI trust through multimodal feedback: A study of visual, haptic, and auditory augmentation in drone shared autonomy","authors":"Jiahao Wu ,&nbsp;Bowen Sun ,&nbsp;Tianyu Zhou ,&nbsp;Fang Xu ,&nbsp;Jing Du","doi":"10.1016/j.chbr.2026.100959","DOIUrl":"10.1016/j.chbr.2026.100959","url":null,"abstract":"","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"21 ","pages":"Article 100959"},"PeriodicalIF":5.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146172716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}