Computers in human behavior reports最新文献

{"title":"Augmented Impressions: The role of augmented reality in shaping perceived product value and enhancing purchase intention","authors":"Gilad Taub,&nbsp;Avshalom Elmalech,&nbsp;Noa Aharony","doi":"10.1016/j.chbr.2025.100726","DOIUrl":"10.1016/j.chbr.2025.100726","url":null,"abstract":"<div><div>This study investigates the association between augmented reality (AR) and perceived product value and purchase intention. Utilizing a sample of 336 participants aged 24 to 67, the research compares the effects of static images, static AR, and dynamic AR on consumer perceptions and behaviors. The findings reveal that perceived product value is significantly higher when products are presented using AR technologies (both static and dynamic) compared to static images. Additionally, purchase intention is notably higher among participants exposed to both AR presentations than those viewing static images. The study also identifies a significant age-related difference in purchase intention, the younger the participants the higher were their purchase intentions, regardless of the presentation format (static images, static AR, dynamic AR). Furthermore, across all forms of presentation modes, the openness to experience personality trait is positively associated with higher perceived product value and increased purchase intention. These results underscore the potential of AR as a powerful tool in enhancing consumer engagement and driving purchase decisions, particularly among younger and more open-minded consumers. The implications for marketing strategies and future research directions are discussed.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100726"},"PeriodicalIF":4.9,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481510","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":"More or less? Effects of different levels of automation of a software agent on information overload, workload, and stress perceptions","authors":"Benedikt Graf ,&nbsp;Rebecca Müller ,&nbsp;Thomas Ellwart ,&nbsp;Conny Herbert Antoni","doi":"10.1016/j.chbr.2025.100727","DOIUrl":"10.1016/j.chbr.2025.100727","url":null,"abstract":"<div><div>While high automation of software agents aims to reduce workplace demands such as workload and information overload, software agents are often perceived as a source of technostress rather than a resource. Current theoretical models emphasize the positive impacts of automation but neglect the influence on technostress and human stress perception, leaving the mechanisms behind stress reduction by software agents unexamined. In this pre-registered study, we investigated how automation of software agents reduces stress and technostrain and if reduced workload and information overload mediate these effects. A randomized within-experiment was conducted in which 108 humans worked with a software agent with four different automation levels in randomized order and rated overload, stress, and technostrain after each automation level. ANOVA and mediated multilevel structural equation model results showed that information overload (η² = .55, <em>p</em> &lt; 001), workload (η² = .71, <em>p</em> &lt; 001), stress (η² = .63, <em>p</em> &lt; 001), and technostrain (η² = .48, <em>p</em> &lt; 001) decreased with higher automation of software agents. Mediating processes indicated that stress as well as technostrain decreased via the reduction of workload (β = −.56, <em>p</em> &lt; .001), but not due to the reduction of information overload (β = .06, <em>p</em> = .331). This study expands the knowledge on how automation and autonomy of software agents can be perceived as a resource instead of a techno-stressor and integrates classical models of stress, overload, and human autonomy research. Moreover, this study shows that organizations can use automation of software agents to reduce technostrain.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100727"},"PeriodicalIF":4.9,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144471767","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":"Increased task-induced mental fatigue in problematic Internet Use: an fMRI study","authors":"Ákos Arató ,&nbsp;Anna Tímea Szente ,&nbsp;András Matuz ,&nbsp;Eszter Áfra ,&nbsp;Husamalddin Ali Alhour ,&nbsp;Gábor Perlaki ,&nbsp;Gergely Orsi ,&nbsp;Gréta Szabó ,&nbsp;Barnabás Dudás ,&nbsp;Szilvia Anett Nagy ,&nbsp;Norbert Kovács ,&nbsp;Árpád Csathó ,&nbsp;József Janszky ,&nbsp;Gergely Darnai","doi":"10.1016/j.chbr.2025.100728","DOIUrl":"10.1016/j.chbr.2025.100728","url":null,"abstract":"<div><div>According to recent research, the level of problematic Internet use (PIU) is associated with chronic mental fatigue. In contrast to chronic fatigue, the association between PIU and task-induced fatigue has not been investigated. Based on previous scientific work, it is conceivable that task-induced subjective fatigue and PIU may share a common neurological background. Therefore, investigation of the association between them is indispensable. We used the Psychomotor Vigilance Task to induce fatigue and functional magnetic resonance imaging (fMRI) to investigate changes in the blood-oxygen-level-dependent (BOLD) signal during the task, and a self-reported questionnaire to assess PIU. We found that the extent of PIU predicted subjective mental fatigue changes during the task. Task-induced changes in the BOLD signal in the left precuneus, and in the left medial, middle, and superior frontal gyri correlated negatively with the PIU level. In addition, task- and PIU-related changes in the BOLD signal within these areas were negatively associated with the changes in subjective mental fatigue. Our findings highlight the association between PIU and task-induced subjective mental fatigue.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100728"},"PeriodicalIF":4.9,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144366349","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":"Analyzing the drivers of pilots' individual performance in simulation training","authors":"Nuno Moura Lopes,&nbsp;Manuela Aparicio,&nbsp;Fátima Trindade Neves","doi":"10.1016/j.chbr.2025.100731","DOIUrl":"10.1016/j.chbr.2025.100731","url":null,"abstract":"<div><div>Simulation is a cornerstone of pilot training and safety in aviation. This study investigates the determinants of pilots' individual performance in simulation environments through a novel theoretical model grounded in the Information Systems Success Model, Cognitive Fit Theory, and Situation Awareness (SA). Using survey data from 233 pilots and structural equation modeling (SEM-PLS), we find that SA, perceived task technological fit, and musical intelligence significantly and directly influence performance. Our model explains 40 % of the variance in individual performance. Notably, technostress does not significantly impact SA, but trust in technology influences both technostress and perceived fit. These findings highlight the critical roles of digital tools, cognitive alignment, and musical intelligence in enhancing simulation training outcomes.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100731"},"PeriodicalIF":4.9,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144366268","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":"The Impact of Evening Gaming on Cortisol and Melatonin Levels: Findings from a Randomized Controlled Trial","authors":"André Alesi ,&nbsp;Kristina Klier ,&nbsp;Benedict Herhaus ,&nbsp;Klara Brixius ,&nbsp;Ingo Froböse ,&nbsp;Matthias Wagner ,&nbsp;Katja Petrowski","doi":"10.1016/j.chbr.2025.100729","DOIUrl":"10.1016/j.chbr.2025.100729","url":null,"abstract":"<div><div>Video games (VGs) are a popular form of entertainment, especially among younger individuals, yet their impact on sleep-related hormonal regulation remains unclear. This randomized controlled trial investigated the effects of evening gaming on cortisol and melatonin—key hormones in the sleep-wake cycle—compared to watching a nature film. Thirty-one male participants (aged 18–37) completed two conditions: 120 minutes of gaming (\"League of Legends\" or \"Counter-Strike: Global Offensive\") and 120 minutes of watching a nature film. Salivary samples were collected pre- and post-session and at waking (+15- and +30-minutes post-waking) the next morning.</div><div>Cortisol levels showed significant within-condition changes, but no significant differences between conditions were found (t(180.0) = 1.41, p = 0.16). The cortisol awakening response (CAR) increased 15 minutes post-waking and normalized by 30 minutes. Melatonin levels and the Area Under the Curve for Inhibition (AUCI) analysis for both hormones showed no significant differences between gaming and film.</div><div>These findings suggest that evening gaming among regular gamers, under controlled conditions, does not disrupt hormonal balance compared to passive film-watching. Habituation to gaming and environmental controls may have mitigated stress responses. Future research should investigate the effects of game novelty, varying player experiences, and diverse populations to develop guidelines for healthy gaming practices.</div><div>VG = video games; SCN = Suprachiasmatic Nucleus; HPA = Hypothalamic-Pituitary-Adrenal (Axis); CAR = Cortisol Awaking Response; AUCI = Area Under the Curve for Inhibition; BMI = Body Mass Index; adc = active digital condition pdc = passive digital condition; IGD = Internet Gaming Disorder</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100729"},"PeriodicalIF":4.9,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481511","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-AI interaction in E-Commerce: The impact of AI-powered customer service on user experience and decision-making","authors":"Huynh Khanh Long Chau,&nbsp;Thi Thuy An Ngo,&nbsp;Chi Thanh Bui,&nbsp;Nguyen Phuc Nguyen Tran","doi":"10.1016/j.chbr.2025.100725","DOIUrl":"10.1016/j.chbr.2025.100725","url":null,"abstract":"<div><div>Artificial intelligence is rapidly transforming e-commerce customer service, yet its long-term impact on user behavior remains under-investigated, particularly in emerging e-commerce markets. This study explores this impact within the Vietnamese e-commerce context, focusing on how AI influences customer satisfaction, continued usage, and purchase intentions. The research integrates the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Expectation-Confirmation Model (ECM) into a comprehensive framework, capturing the full customer journey from pre-adoption expectations, adoption, to post-adoption behaviors. Using survey data from 552 experienced users and analyzing it through partial least squares structural equation modeling (PLS-SEM), the study reveals that while usability and responsiveness influence initial perceptions, they are not the strongest predictors of sustained satisfaction. Instead, satisfaction is primarily driven by AI's ability to deliver tangible value and meet user expectations. This satisfaction, in turn, becomes the key driver of both continued AI usage and online purchasing. The findings challenge the assumption that ease of use is universally paramount, demonstrating that in a value-conscious emerging market like Vietnam, demonstrable usefulness and fulfilled expectations are critical for AI success. The key novelty of this research lies in its integration of UTAUT and ECM into a holistic framework that captures the entire AI-powered customer service lifecycle, from pre-adoption expectations to post-adoption behaviors, within the context of an emerging e-commerce market (Vietnam), where empirical research on AI adoption remains limited. This study contributes to the field of e-commerce marketing by empirically demonstrating that, in value-driven emerging markets, customer satisfaction and subsequent purchase intentions are more strongly influenced by AI's ability to deliver tangible benefits and meet user expectations than by ease of use alone. The practical implication for businesses is clear: to foster customer loyalty and drive purchasing behavior, AI-powered customer service must move beyond efficiency and convenience, focusing instead on delivering meaningful value and actively managing user expectations throughout the customer journey.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100725"},"PeriodicalIF":4.9,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314019","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":"The temporal sequence between student problematic internet use, fear of missing out and mental health: A random-intercept cross-lagged panel model","authors":"A. Swinkels,&nbsp;R. van der Cruijsen,&nbsp;N. van den Broek,&nbsp;S.A.E. Geurts,&nbsp;R.H.J. Scholte,&nbsp;J.M. Vink","doi":"10.1016/j.chbr.2025.100717","DOIUrl":"10.1016/j.chbr.2025.100717","url":null,"abstract":"<div><div>Students seem to be vulnerable for developing problematic internet use (PIU) and mental health problems. There is an association between PIU and mental health, but the direction is unclear. Theory and evidence suggest mental health problems may precede PIU, but PIU may also precede low mental health. Additionally, it is not yet clear if and where Fear of Missing Out (FoMO) fits in the temporal sequence between PIU and mental health problems. With the present study we aimed to 1) examine the longitudinal bidirectional associations between PIU and mental health problems (i.e. depressive symptoms and loneliness), 2) examine the temporal sequence when adding FoMO and 3) explore gender differences in the associations. The Healthy Student Life data provided measurements at three time points in 1.5 years and included 9063 students of a Dutch university (&gt;95 % western, 69.2 % female, aged 15.9–30.8 years at T1; <em>M</em> = 21.6, <em>SD</em> = 2.8) who completed questionnaires on depressive symptoms, loneliness, PIU and FoMO at least once. Using random-intercept cross-lagged panel models, we found that between students, PIU was significantly positively related to depressive symptoms, loneliness, and FoMO. FoMO was significantly positively associated with depressive symptoms and loneliness. Between student, the associations of PIU with loneliness and FoMO were stronger in males than in females. Within students, contrary to our expectations, no significant longitudinal associations were found; changes in PIU were not a precursor, nor a consequence, of changes in mental health or FoMO. Shorter time intervals may be relevant to examine in future research.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100717"},"PeriodicalIF":4.9,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280273","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":"Cognitive dissonance in programming education: A qualitative exploration of the impact of generative AI on application-directed learning","authors":"Mark G. Dawson,&nbsp;Rowan Deer,&nbsp;Samuel Boguslawski","doi":"10.1016/j.chbr.2025.100724","DOIUrl":"10.1016/j.chbr.2025.100724","url":null,"abstract":"<div><div>Generative AI tools, powered by Large Language Models (LLMs), are already being extensively used by students to support their learning and it is important that educators understand what this might mean for higher education practice. In this study, two researchers external to the faculty teaching team conducted in-depth interviews with 12 students in a small European university of applied sciences who have recently undertaken programming learning as part of their undergraduate studies. The aim was to explore how these students were using LLMs to support their learning and their perceptions of its value as a learning tool. A thematic analysis of the resulting qualitative data revealed trends in the perceived advantages and disadvantages of using LLMs, as well as different levels of LLM usage, with more cautious use associated with a 'meaning-directed' approach to learning (learning pattern) and more enthusiastic and unrestrained use with 'application-directed' patterns of study. A tension was observed between some application-directed learners’ high use of LLMs and their recognition that this is not optimal for effective learning. The authors argue that Cognitive Dissonance Theory (CDT) can explain how this dissonance may motivate learners toward a dissonance-reducing attitude or behavior change. The conclusion reflects on the implications for teaching practice and offers some recommendations for how educators can increase metacognition, instrumentalize CDT to increase self-regulation, and facilitate meaning-directed learning patterns in the age of generative AI.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100724"},"PeriodicalIF":4.9,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280312","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":"When AI is fairer than humans: The role of egocentrism in moral and fairness judgments of AI and human decisions","authors":"Katarzyna Miazek,&nbsp;Konrad Bocian","doi":"10.1016/j.chbr.2025.100719","DOIUrl":"10.1016/j.chbr.2025.100719","url":null,"abstract":"<div><div>Algorithmic fairness is a core principle of trustworthy Artificial Intelligence (AI), yet how people perceive fairness in AI decision-making remains understudied. Prior research suggests that moral and fairness judgments are egocentrically biased, favoring self-interested outcomes. Drawing on the Computers Are Social Actors (CASA) framework and egocentric ethics theory we examine whether this bias extends to AI decision-makers, comparing fairness and morality perceptions of AI and human agents. Across three experiments (two preregistered, N = 1880, Prolific US samples), participants evaluated financial decisions made by AI or human agents. Self-interest was manipulated by assigning participants to conditions where they either benefited from, were harmed by, or remained neutral to the decision outcome. Results showed that self-interest significantly biased fairness judgments—decision-makers who made unfair but personally beneficial decisions were perceived as more moral and fairer than those whose decisions benefited others (Studies 1 &amp; 2) or those who made fair but personally costly decisions (Study 3). However, this egocentric bias was weaker for AI than for humans, mediated by a lower perceived mind and reduced liking for AI (Studies 2 &amp; 3). These findings suggest that fairness judgments of AI are not immune to egocentric biases, but are moderated by cognitive and social perceptions of AI versus humans. Our studies challenge the assumption that algorithmic fairness alone is sufficient for achieving fair outcomes. This provides novel insight for AI deployment in high-stakes decision-making domains, highlighting the need to consider both algorithmic fairness and human biases when evaluating AI decisions.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100719"},"PeriodicalIF":4.9,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321913","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":"Breaking the bias: integrating physiological and self-reported data to improve UX researchers' accuracy and empathy","authors":"Pascal Snow ,&nbsp;Alejandra Ruiz-Segura ,&nbsp;Pierre-Majorique Léger ,&nbsp;Sylvain Sénécal ,&nbsp;Constantinos Coursaris ,&nbsp;Romain Pourchon ,&nbsp;Sarah Cosby ,&nbsp;Ariane Beauchesne","doi":"10.1016/j.chbr.2025.100723","DOIUrl":"10.1016/j.chbr.2025.100723","url":null,"abstract":"<div><div>User experience (UX) research aims to optimize digital products by tackling users' needs and motivations. Traditional self-reported measures, while cost-effective and accessible, are limited by cognitive biases and fail to capture the multidimensional nature of emotions. This exploratory study investigates whether integrating physiological data alongside self-reported measures during usability testing enhances UX researchers' inferential accuracy and perceived empathy. Specifically, it examines whether visualizations of users' physiological trends and self-reported scales lead to improvements in a researcher's ability to identify usability issues and foster empathy.</div><div>Twenty-two UX researchers were randomly assigned to two conditions: one received combined self-reported and physiological data visualizations, while the other received only self-reported data. Participants analyzed simulated user journeys, identified usability challenges, and completed a survey on empathy in design. Results showed that participants in the physiological and self-reported data condition demonstrated significantly higher inferential accuracy (63 % vs 47 %, <em>p</em> &lt; 0.10) and greater empathy across both cognitive and emotional dimensions (<em>p</em> &lt; 0.05).</div><div>Findings suggest that combining self-reported and physiological measures leads to richer insights into the users' emotional journeys, improving decision-making in UX research contexts. Visually mapping emotional valence and arousal data in real time enabled researchers to link usability challenges to user experiences with precision, facilitating targeted follow-up. Simplified data visualizations proved effective in enhancing workflow efficiency and fostering empathy.</div><div>This study underscores the value of multimethod approaches in UX testing, advocating for tools that integrate and represent diverse data sources. Future research should explore scalability and application in naturalistic settings to advance UX practices further.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100723"},"PeriodicalIF":4.9,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144366267","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}