Computers in human behavior reports最新文献

{"title":"A serious game design framework: From learning and training to therapeutic applications","authors":"Witcha Feungchan,&nbsp;Pitsanu Chaichitwanidchakol","doi":"10.1016/j.chbr.2026.101251","DOIUrl":"10.1016/j.chbr.2026.101251","url":null,"abstract":"<div><div>Serious games are now developed for classrooms, professional training programs, and clinical settings, yet the design knowledge produced in these three domains rarely crosses domain boundaries. This article presents a cross-domain conceptual framework for serious game design, organized as four layers: context-aware design, adaptive interaction technologies, pedagogical integration, and systematic evaluation, with accessibility and privacy treated as concerns that cut across all layers. We derived the framework through a qualitative synthesis that combined a narrative review of serious game design literature with a retrospective analysis of seven serious game projects we developed between 2015 and 2024, spanning nutrition education, software testing education, drone operation training, veterinary training, ubiquitous science learning, and therapeutic applications for children with autism spectrum disorder (ASD). We position the framework against fifteen existing serious game design and assessment frameworks and identify its distinguishing feature: the combination of therapeutic applications with educational and training domains, explicit interaction-technology guidance, and evaluation treated as a framework layer rather than an afterthought. Seven case studies illustrate how the framework maps onto real projects; we present them as illustrative applications rather than as validation, since the framework itself has not yet been evaluated by independent teams. We describe how multidisciplinary teams can use the framework, including stakeholder roles, decision points, and artifacts at each layer, and we identify the validation studies that should come next.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101251"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Under the influence of digital technologies: Digital technostress and technological work burnout in development zones","authors":"Yasemin Yetkin,&nbsp;Firas Almasri,&nbsp;H. Eray Çelik","doi":"10.1016/j.chbr.2026.101224","DOIUrl":"10.1016/j.chbr.2026.101224","url":null,"abstract":"<div><div>This study explores the relationship between digital technostress and technological work burnout (TWB) among full-time employees in science and technology parks (STPs) in Turkey. Technostress is a multidimensional construct encompassing techno-overload, techno-complexity, techno-invasion, techno-insecurity, and techno-uncertainty. Using data from 1730 respondents and applying Partial Least Squares Structural Equation Modeling (PLS-SEM), the results show that all five dimensions are significant positive predictors of TWB. Among these, techno-overload (<span><math><mrow><mi>β</mi><mo>=</mo><mn>0.407</mn><mo>,</mo><msup><mi>f</mi><mn>2</mn></msup><mo>=</mo><mn>0.316</mn></mrow></math></span>) and techno-invasion <span><math><mrow><mo>(</mo><mrow><mi>β</mi><mo>=</mo><mn>0.349</mn><mo>,</mo><msup><mi>f</mi><mn>2</mn></msup><mo>=</mo><mn>0.231</mn></mrow><mo>)</mo></mrow></math></span> are the strongest predictors. Additional analyses using Measurement Invariance of Composite Models (MICOM) and Multi-Group Analysis (PLS-MGA) reveal statistically significant differences between groups. The impact of techno-complexity varies by gender <span><math><mrow><mo>(</mo><mrow><mi>p</mi><mo>=</mo><mn>0.035</mn></mrow><mo>)</mo></mrow></math></span> and age <span><math><mrow><mo>(</mo><mrow><mi>p</mi><mo>=</mo><mn>0.026</mn></mrow><mo>)</mo></mrow></math></span>, while techno-invasion differs across sectors (p = 0.022). Overall, the findings suggest that digital work demands are linked to a higher risk of burnout in STPs and emphasize the importance of managing workload, digital communication practices, and adapting to technological change.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101224"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI chatbots in the food and beverage industry: Trust, privacy calculus, and customer engagement in a developing economy","authors":"Eid Mohammad Frough,&nbsp;Hasliza Hassan,&nbsp;Robert Jeyakumar Nathan","doi":"10.1016/j.chbr.2026.101274","DOIUrl":"10.1016/j.chbr.2026.101274","url":null,"abstract":"<div><div>AI-powered chatbots are rapidly transforming service interactions; however, their adoption within small and medium-sized enterprises (SMEs) in developing economies remains uneven. In Malaysia's food and beverage (F&amp;B) sector, where speed, personalisation, and service reliability are central to customer experience, chatbot uptake is notably low, driven largely by consumer uncertainty about privacy and trust. This research is conducted to advance the theoretical and practical understanding of this gap. The study integrates the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with the Privacy Calculus to model the cognitive, affective, experiential, and risk–benefit evaluations that shape chatbot adoption as a sequential, trust-dependent process. Through a quantitative cross-sectional research design, the study collected responses from 595 Malaysian café customers. Employing PLS-SEM, the findings demonstrate that performance expectancy, effort expectancy, hedonic motivation, and habit substantially strengthen behavioural intention, while intention and habit jointly are associated with actual use. Trust emerges as a decisive mechanism: perceived benefits strongly enhance trust, whereas perceived privacy risk markedly erodes it. Trust is further associated with customer satisfaction both directly and through behavioural intention and actual use. Moderation analyses reveal that age shapes the influence of hedonic motivation, and experience modifies reliance on facilitating conditions. The study contributes to AI-adoption theory in three specific ways: it positions trust as the empirically tested mediating mechanism through which the Privacy Calculus and UTAUT2 are integrated rather than additively combined; it extends the chatbot-adoption evidence base to the under-represented context of Malaysian café and coffee-shop SMEs in a developing economy; and it operationalises chatbot engagement as an ongoing trust-dependent sequence from privacy-benefit evaluation through intention, actual use, and satisfaction, rather than a one-shot acceptance decision.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101274"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148843347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The association of screen activities and social media addiction with depressive symptoms among Chinese adolescents: The role of parental phubbing","authors":"Tianyue Zhang,&nbsp;Mengqi Duan,&nbsp;Lan Guo,&nbsp;Zinula Hanmudu,&nbsp;Wanxin Wang","doi":"10.1016/j.chbr.2026.101258","DOIUrl":"10.1016/j.chbr.2026.101258","url":null,"abstract":"<div><div>This study explores the specific impacts of screen activities on adolescent depressive symptoms, and the moderating role of parental phubbing, further examining the association between social media addiction (SMA) and depressive symptoms. A cross-sectional study using self-reported questionnaires was conducted among primary and high school students in Shenzhen, China. Linear mixed models (LMMs), interaction and simple slope analyses, network analysis, and the network comparison test (NCT) were adopted. A total of 3658 participants (mean age: 12.71 ± 2.95 years; 56.15% male) were included. LMMs indicated that short-form video (<em>β</em> = 0.05, 95% CI [0.03, 0.06]) and social media use (<em>β</em> = 0.06, 95% CI [0.04, 0.07]) were significantly associated with depressive symptoms, as was SMA (<em>β</em> = 0.17, 95% CI [0.15, 0.18]). A significant moderating role of parental phubbing was found (short-form video: <em>β</em> = 0.03, 95% CI [0.02, 0.05]; social media use: <em>β</em> = 0.02, 95% CI [0.01, 0.04]; SMA: <em>β</em> = 0.04, 95% CI [0.02, 0.06]), indicating that these associations were significantly stronger under higher levels of parental phubbing. At the symptom level, a network analysis of SMA and depressive symptoms identified “fatigue” and “feeling depressed” as core symptoms, while “mood modification” and “withdrawal” as critical bridge symptoms. Furthermore, the NCT revealed significant structural differences in the symptom comorbidity network between different levels of parental phubbing. Interventions should prioritize fostering a responsive family digital environment. Furthermore, specific symptoms identified in the network analysis offer exploratory targets warranting future validation.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101258"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does distrust priming reduce AI stereotypes? Testing applicability to AI acceptance","authors":"Kasumi Dan,&nbsp;Takahiro Hoshino","doi":"10.1016/j.chbr.2026.101232","DOIUrl":"10.1016/j.chbr.2026.101232","url":null,"abstract":"<div><div>While some resistance toward generative artificial intelligence (AI) stems from rational concerns, it has been suggested that negative attitudes also reflect stereotypes and biases, which can hinder its effective use. This study examines whether distrust priming, previously shown to reduce stereotypical judgments, could promote trust in AI and intentions to use AI through the potential mitigation of stereotypical perceptions of AI. We conducted a preregistered 3 (trust vs. distrust vs. neutral priming) × 2 (AI-appropriate tasks vs. human-appropriate tasks) between-subjects experiment with 577 participants to test the effects of priming across ten specific AI-use contexts. Although participants interpreted the priming stimuli as intended, contrary to previous findings, the stereotype-reducing effect of distrust priming was not replicated in the present study's conditions. Distrust priming did not significantly influence trust in AI or AI usage intentions in any context, and the hypothesized mediation pathway (priming → trust → usage intention) was not supported. Despite these null priming effects, robust task-type differences indicated that participants clearly distinguished between AI-appropriate and human-appropriate contexts. Overall, the findings suggest that this brief text-based distrust-priming procedure had limited applicability for shifting the measured AI-acceptance outcomes under the present conditions.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101232"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of herding in the rise of leader traders on social trading platforms: The networked trust signaling framework","authors":"Tamás Papp,&nbsp;Sándor Erdős,&nbsp;Zsófia Vörös","doi":"10.1016/j.chbr.2026.101249","DOIUrl":"10.1016/j.chbr.2026.101249","url":null,"abstract":"<div><div>Driven by the development of innovative information and communication tools, many investment decisions now occur in novel information environments. Social trading platforms (STPs) promote herding by enabling investors to copy others' portfolios and follow the crowd. First, we introduce the networked trust signaling framework, which explains how copy decisions, framed as trust heuristics and multiplayer signaling outcomes, lead to leadership emergence via social cues. Second, we test this framework in an experiment where participants choose which STP trader's strategy to copy. Results show that copy traders tend to herd when social cues clearly signal their valence. When the available information cues are unclear, investors delegate the decision and place greater trust in human experts than in AI advisors. These findings suggest that when trust can't be established through the available information cues, financial advisors, if their recommendations align, may induce herding-like behavior.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101249"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148776393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reason or emotion? The effects and mechanisms of opinion leader types and mobilization strategies on online collective behavior","authors":"Yuanru Zheng,&nbsp;Qianlan Wang,&nbsp;Chunlei Ge,&nbsp;Yu Li,&nbsp;Lei Liu","doi":"10.1016/j.chbr.2026.101268","DOIUrl":"10.1016/j.chbr.2026.101268","url":null,"abstract":"<div><div>During public emergencies, opinion leaders' discourse strategies critically guide online behavior. Through four situational experiments, this study examines how different opinion leader types and mobilization strategies influence individual online collective behavior and its underlying mechanisms. Results reveal a significant interaction effect of opinion leader type and mobilization strategy on intentions to engage in online collective behavior. For well-known bloggers and web media, both emotional and rational mobilization significantly outperform no mobilization. However, for government media, fact-oriented rational mobilization is most effective in stimulating netizens' behavioral intentions. Furthermore, mediation analysis demonstrates that social identity mediates the effects of opinion leader type and mobilization strategy on intentions to engage in online collective behavior. By exploring the interplay between diverse communicators and information frameworks, this research reveals an important psychological process underlying the formation of collective action in digital spaces, providing theoretical and practical insights for precise public opinion guidance and the maintenance of public order during crises.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101268"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148776398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emotional reactivity to delayed replies: Temporal dynamics, context, and age differences","authors":"Yuuki Kato,&nbsp;Shogo Kato","doi":"10.1016/j.chbr.2026.101261","DOIUrl":"10.1016/j.chbr.2026.101261","url":null,"abstract":"<div><div>Understanding how reply latency in digital messaging shapes emotional experience is essential for designing inclusive and emotionally intelligent communication environments. Drawing on chronemics and Socioemotional Selectivity Theory (SST), this study examines how the occurrence and anticipated onset latency of negative emotions vary across relational contexts, user roles, message visibility, emotion types, and age. A large-scale online survey (N = 2367; ages 15–59) used ecologically valid messaging scenarios on LINE—a platform functionally similar to WhatsApp and other global services—to assess both whether and when participants anticipated negative emotions (anxiety, sadness, anger, guilt) would emerge in response to delayed replies. Binary and ordinal logistic regression analyses revealed that reply latency increased the likelihood of anticipated negative emotions, with anxiety reported as the earliest and most frequent response. Anticipated emotional onset was earlier when messages were read and in parent contexts, and role-related patterns indicated accelerated guilt among those delaying replies. Nonlinear age patterns showed heightened sensitivity among younger users and attenuated responses with age. These findings highlight reply latency as a temporally structured and context-dependent cue shaped by relational and generational contexts. Theoretically, this study advances chronemics and socioemotional communication research by reconceptualizing reply latency as a temporally structured socioemotional signal and by explicitly distinguishing emotional occurrence from anticipated onset timing. Practically, it informs platform design and digital literacy initiatives aimed at fostering more inclusive, intergenerationally attuned communication environments.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101261"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148776485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of working conditions in technostress among legal professionals","authors":"Audrée Bethsa Camille,&nbsp;Nathalie Cadieux,&nbsp;Pierre-Luc Fournier","doi":"10.1016/j.chbr.2026.101238","DOIUrl":"10.1016/j.chbr.2026.101238","url":null,"abstract":"<div><div>While technology, such as information and communication technology (ICT), offers numerous benefits, it also brings about specific challenges, namely technostress. Technostress is a widespread phenomenon observed among knowledge workers, including legal professionals. For these professionals, the acceleration of work pace due to ICT usage, information and communication overload, and the implementation of AI are just a few examples of how ICT affects them. This study aims to examine the relationship between working conditions and the feeling of technostress among Canadian legal professionals. With technostress literature grounded in the transactional theory of stress and the job demands-resources model, a conceptualization that posits working conditions influence technostress. We examine how specific working conditions impact technostress through structural equation modeling with Smart PLS 4, which analyzes secondary data from an online survey addressed to legal professionals across Canada (<em>n</em> = 3496). Results highlight the working conditions — demands and resources — that potentially exacerbate or mitigate the feeling of technostress. This paper examines technostress and its impact on legal professionals, highlighting findings that inform strategies to manage it and promote their mental health.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101238"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"White matter regional homogeneity alterations in internet gaming disorder","authors":"Zhibin Zhou,&nbsp;Chi Su,&nbsp;Yu Huang,&nbsp;Wenxin Xu,&nbsp;Haolin Ye,&nbsp;Yanli Wang,&nbsp;Shiying Wang,&nbsp;Yueshan Xu,&nbsp;Kezhi Liu,&nbsp;Jing Chen,&nbsp;Wei Lei","doi":"10.1016/j.chbr.2026.101234","DOIUrl":"10.1016/j.chbr.2026.101234","url":null,"abstract":"<div><div>Growing evidence has highlighted the potential clinical significance and physiological basis of spontaneous brain activity in white matter. This study aimed to examine alterations in white matter Regional Homogeneity (WM-ReHo) in individuals with Internet Gaming Disorder (IGD) and to explore its relationship with clinical characteristics and structural changes. We utilized resting-state functional magnetic resonance imaging, diffusion tensor imaging (DTI), and T1-weighted structural MRI data from 47 individuals with IGD and 51 healthy controls (HCs). WM-ReHo was calculated and contrasted between groups. Results showed that compared with HCs, individuals with IGD demonstrated significantly increased WM-ReHo in the left superior longitudinal fasciculus (SLF) and the splenium of corpus callosum (SCC). IGD participants also exhibited greater white matter volume (WMV), higher track fractional anisotropy (FA), and longer track length within the SCC; however, these structural changes were not linearly correlated with the alterations in WM-ReHo. In the IGD group, WM-ReHo values in the SLF were positively correlated with scores of the Internet Addiction Test (IAT) and daily gaming time, while WM-ReHo values in the SCC were positively correlated with scores of the Barratt Impulsiveness Scale (BIS). In summary, this study revealed increased ReHo with white matter regions. These changes are associated with longer gaming time, more severe addictive symptoms, and increased impulsivity, and are accompanied by alterations in white matter structure metrics in IGD, indicating a link to pathological and brain structural changes related to IGD. This research underscores the clinical potential of spontaneous white matter activity for understanding the pathology of IGD.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101234"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}