Computers in Human Behavior最新文献_第2页

Substitution or augmentation? How organisational AI adoption approaches influence the willingness to stay of caregivers 替换还是增广？组织采用人工智能的方法如何影响护理人员留下来的意愿

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-21 DOI: 10.1016/j.chb.2025.108801

Li Jiang , Xuli Wang , Yuguang Xie , Junhong Zhu , Dongxiao Gu

{"title":"Substitution or augmentation? How organisational AI adoption approaches influence the willingness to stay of caregivers","authors":"Li Jiang , Xuli Wang , Yuguang Xie , Junhong Zhu , Dongxiao Gu","doi":"10.1016/j.chb.2025.108801","DOIUrl":"10.1016/j.chb.2025.108801","url":null,"abstract":"<div><div>In the care sector, the application of artificial intelligence (AI) has become a key strategy to alleviate workforce shortages. However, systematic research is still lacking on the differential effects of different AI adoption approaches on caregivers' willingness to stay and their underlying mechanisms. This study uses job demands-resources theory as basis to develop a dual-path model to explore the differences between AI augmentation and AI substitution in influencing caregivers' willingness to stay. Results of two experiments indicate that AI augmentation has a significantly stronger positive effect on willingness to stay than AI substitution, with the resource gain pathway of ‘self-efficacy–job satisfaction’ playing a partial mediating role. AI substitution also significantly enhances willingness to stay (compared with scenarios without AI), and its effect is mediated by the resource gain and job demand pathways of ‘identity threat–emotional exhaustion’. Additionally, AI learning anxiety significantly weakens the positive effects of both AI adoption approaches, whilst job replacement anxiety only negatively moderates the effect of AI substitution. This study provides a markedly nuanced theoretical perspective for research on organisational AI adoption and offers practical insights into the practical application of AI in the care sector.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"174 ","pages":"Article 108801"},"PeriodicalIF":8.9,"publicationDate":"2025-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Image memorability predicts social media virality and externally-associated commenting 图像记忆性预测了社交媒体的病毒式传播和外部相关评论

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-19 DOI: 10.1016/j.chb.2025.108799

Shikang Peng , Wilma A. Bainbridge

{"title":"Image memorability predicts social media virality and externally-associated commenting","authors":"Shikang Peng , Wilma A. Bainbridge","doi":"10.1016/j.chb.2025.108799","DOIUrl":"10.1016/j.chb.2025.108799","url":null,"abstract":"<div><div>Visual content on social media plays a key role in entertainment and information sharing, yet some images gain more engagement than others. We propose that image memorability – the ability to be remembered – may predict viral potential. Using 1247 Reddit image posts across three timepoints, we assessed memorability with neural network ResMem and correlated the predicted memorability scores with virality metrics. Memorable images were consistently associated with more comments, even after controlling for image categories with ResNet-152. Semantic analysis revealed that memorable images relate to more neutral-affect comments, suggesting a distinct pathway to virality from emotional contents. Additionally, visual consistency analysis showed that memorable posts inspired diverse, externally-associated comments. By analyzing ResMem's layers, we found semantic distinctiveness was key to both memorability and virality. This study highlights memorability as a unique correlate of social media virality, offering insights into how visual features and human cognitive behavioral interactions are associated with online engagement.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"174 ","pages":"Article 108799"},"PeriodicalIF":8.9,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145128385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The development of social, gender, and migration-related disparities in digital competencies during adolescence 青少年数字能力方面的社会、性别和移民相关差异的发展

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-18 DOI: 10.1016/j.chb.2025.108800

Timo Gnambs, Anna Hawrot

{"title":"The development of social, gender, and migration-related disparities in digital competencies during adolescence","authors":"Timo Gnambs, Anna Hawrot","doi":"10.1016/j.chb.2025.108800","DOIUrl":"10.1016/j.chb.2025.108800","url":null,"abstract":"<div><div>The ability to use digital technologies effectively is unevenly distributed among adolescents. Youths from lower socioeconomic backgrounds, girls, and migrants frequently exhibit lower digital competencies, which can contribute to long-term educational and occupational disadvantages. To design educational strategies that promote digital equity, it is essential to understand when and for whom these inequalities emerge. This longitudinal study examined the development of social, gender, and migration-related disparities in digital competencies during adolescence. Using data from the German National Educational Panel Study (<em>N</em> = 4872), we examined digital competencies that were assessed three times between ages 12 and 18 with standardized achievement tests. Latent growth curve analyses revealed distinct developmental patterns: socioeconomic disparities were initially large (Cohen's <em>d</em> = −0.22) but decreased over time (Cohen's <em>d</em> = −0.16); gender differences favoring boys were small at first (Cohen's <em>d</em> = 0.07) but widened during adolescence (Cohen's <em>d</em> = 0.18); and the migrant gap was already substantial in early adolescence (Cohen's <em>d</em> = −0.18) and remained stable later on. Comparative analyses for math and reading literacy highlighted partial parallels between digital inequalities and traditional educational inequalities. Overall, the results indicated persistent social, gender, and migration-related disparities in digital competencies throughout adolescence. Because these gaps remained considerable in later adolescence, they appear insufficiently addressed by the current educational system. To reduce digital inequalities, educational interventions may need to begin even before adolescence and target younger children in order to prevent disparities from becoming firmly established.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"173 ","pages":"Article 108800"},"PeriodicalIF":8.9,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Corrigendum to ‘Digital engagement and its association with adverse psychiatric symptoms: A longitudinal cohort study utilizing latent class analysis’ [Computers in Human Behavior 133C (2022) 107290] “数字参与及其与不良精神症状的关联：一项利用潜在类别分析的纵向队列研究”的勘误表[人类行为中的计算机133C (2022) 107290]

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-12 DOI: 10.1016/j.chb.2025.108757

Ross Brannigan , Carlos J. Gil-Hernández , Olivia McEvoy , Frances Cronin , Debbi Stanistreet , Richard Layte

引用次数: 0

Beauty vs. Vibe: Deconstructing visual appeal in online dating with large multimodal models 美女vs.氛围：解构在线约会的视觉吸引力与大型多模态模型

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-12 DOI: 10.1016/j.chb.2025.108792

Junkyu Jang, Soonjae Kwon, Sung-Hyuk Park

{"title":"Beauty vs. Vibe: Deconstructing visual appeal in online dating with large multimodal models","authors":"Junkyu Jang, Soonjae Kwon, Sung-Hyuk Park","doi":"10.1016/j.chb.2025.108792","DOIUrl":"10.1016/j.chb.2025.108792","url":null,"abstract":"<div><div>Online dating has become a social infrastructure, with over one-third of marriages originating from digital platforms. Despite its significance, our understanding of how users form impressions and make matching decisions remains limited. This study addresses this gap by proposing and testing a ”Two-Pathway Heuristic Model” of impression formation, arguing that users evaluate profiles via two parallel pathways: an immediate, affective assessment of facial attractiveness and a more inferential assessment of social attractiveness (or vibe). Using data from 10,619 users on a major heterosexual dating platform in South Korea, we leverage a Large Multimodal Model (LMM) to quantify facial attractiveness and social attractiveness, decomposing the latter into its key components: social, economic, and cultural capital. Through econometric analyses, we examine both the independent and the interaction effects of these two pathways on matching success. Our findings reveal that while both facial attractiveness and social attractiveness are strong predictors of matching success, the effect of facial attractiveness is particularly decisive for male profiles. Furthermore, our analysis uncovers significant negative interaction effects, suggesting that when a user’s facial attractiveness is already very high, adding strong signals of social or cultural capital yields diminishing returns. These results offer novel insights into the non-linear patterns of impression formation in digital environments and provide practical implications for both users and platform designers, suggesting a need for interfaces that showcase multi-dimensional aspects of identity beyond physical appearance.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"173 ","pages":"Article 108792"},"PeriodicalIF":8.9,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Beyond the dichotomy of use and Not-Use: Forms and motivations of user non-use behaviors toward AI customer service 超越使用和不使用的二分法：用户对人工智能客户服务的不使用行为的形式和动机

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-11 DOI: 10.1016/j.chb.2025.108793

Junchen Yao , Dongqi Yan , Hongzhong Zhang

{"title":"Beyond the dichotomy of use and Not-Use: Forms and motivations of user non-use behaviors toward AI customer service","authors":"Junchen Yao , Dongqi Yan , Hongzhong Zhang","doi":"10.1016/j.chb.2025.108793","DOIUrl":"10.1016/j.chb.2025.108793","url":null,"abstract":"<div><div>In the era of artificial intelligence, the dichotomy of acceptance versus abandonment falls short in capturing the complexities of user behavior. This study focuses on AI customer service (AICS)—a pervasive but difficult-to-abandon AI application—to explore how users’ perceptions shape diverse non-use behaviors. Through a sequential mixed-methods design, we develop and test an extended Expectation Confirmation Model (ECM). Qualitative findings first reveal that users evaluate AICS through functional and emotional dimensions, and engage in two forms of non-use behavior: active (e.g., self-education, seeking help) and passive (e.g., teasing, verbal abuse). Building on these insights, quantitative results show that both functional and emotional performance perceptions significantly predict satisfaction. Crucially, cognitive satisfaction negatively predicts passive non-use, whereas emotional satisfaction positively predicts active non-use—a finding that challenges conventional models where satisfaction predicts continuance. Moreover, expectation confirmation significantly moderates the relationship between performance perception and satisfaction. Our research extends ECM by introducing a dual-pathway model of non-use and offers managers and designers nuanced insights for improving human-AI coexistence.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"174 ","pages":"Article 108793"},"PeriodicalIF":8.9,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

“I like community more than Influencers”: Unraveling the influence of followers on parasocial Interaction and attachment with virtual influencers “我更喜欢社区而不是影响者”：揭示追随者对准社会互动和与虚拟影响者的依恋的影响

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-09 DOI: 10.1016/j.chb.2025.108796

Jiyoung Bang, Sangman Han

{"title":"“I like community more than Influencers”: Unraveling the influence of followers on parasocial Interaction and attachment with virtual influencers","authors":"Jiyoung Bang, Sangman Han","doi":"10.1016/j.chb.2025.108796","DOIUrl":"10.1016/j.chb.2025.108796","url":null,"abstract":"<div><div>Millions of users follow virtual influencers and experience a sense of connection with them even though they do not exist in the physical world. Despite increasing academic attention, few studies have examined the role of follower interaction within virtual influencer communities in shaping users' relational experiences, particularly regarding parasocial interaction (PSI) and attachment to virtual influencers. This study examines the association between follower interaction, cognitive and affective social identity, PSI with virtual influencers, and attachment to virtual influencers using survey data from Instagram users engaged in virtual influencer communities (N = 303). The results indicate that follower interaction is significantly related to PSI with virtual influencers, both directly and indirectly, through cognitive and affective social identities. Additionally, PSI with virtual influencers is strongly associated with user attachment. These findings contribute to the theoretical discussions on PSI and social identity. They highlight how follower interaction within virtual influencer communities shapes users' relational experiences and attachments, particularly in contexts where influencers’ agency and authenticity are ambiguous.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"173 ","pages":"Article 108796"},"PeriodicalIF":8.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unpacking media channel effects on AI perception: A network analysis of AI information exposure across channels, overload, literacy, and anxiety among Chinese users 解析媒体渠道对人工智能感知的影响：中国用户跨渠道、过载、素养和焦虑的人工智能信息暴露的网络分析

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-09 DOI: 10.1016/j.chb.2025.108790

Sha Sarah Qiu , Luxi Zhang , Fei You , Xinshu Zhao

{"title":"Unpacking media channel effects on AI perception: A network analysis of AI information exposure across channels, overload, literacy, and anxiety among Chinese users","authors":"Sha Sarah Qiu , Luxi Zhang , Fei You , Xinshu Zhao","doi":"10.1016/j.chb.2025.108790","DOIUrl":"10.1016/j.chb.2025.108790","url":null,"abstract":"<div><div>Artificial intelligence (AI) has developed rapidly and attracted growing public attention. While online information regarding AI promotes technological awareness, it may also trigger anxiety. In China, where AI adoption is accelerating, the psychological effects of different media channels for AI information communication remain underexplored. This study employed a cross-sectional survey across mainland China (n = 1371), measuring online AI information scanning, information overload, AI literacy, and AI anxiety. Network analysis using the EBICglasso method examined associations among these variables and identified central and bridging nodes. Results revealed diverse associations across media channels. While most media channels were positively associated with both AI literacy and AI information overload, the strength of these associations varied. Short-video and social media were the most significant in promoting AI literacy, whereas online audio exposure showed the strongest positive association with AI information overload. AI literacy (as an inhibitor) and AI information overload (as a stressor) played opposing roles in mediating the relationship between media exposure and dimensions of AI anxiety, with literacy mitigating and overload exacerbating anxiety. The associations between specific media channels and different dimensions of AI anxiety also differed. Furthermore, centrality analysis identified sociotechnical blindness anxiety as the most influential node and AI learning anxiety as a key bridge across communities. This study is the first to apply network analysis to examine dimensional interrelations among AI information scanning, overload, literacy, and anxiety. Findings highlight the channel-specific impacts of AI communication and offer practical implications for mitigating public AI anxiety through targeted media strategies.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"173 ","pages":"Article 108790"},"PeriodicalIF":8.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From mistrust to confidence: How NeuroTech improves privacy for mistrusted digital environments in a formerly incarcerated population 从不信任到信任：神经科技如何改善被监禁人群在不受信任的数字环境中的隐私

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-08 DOI: 10.1016/j.chb.2025.108794

Eric Durnell , Ryan T. Howell , Karynna Okabe-Miyamoto , Martin Zizi

{"title":"From mistrust to confidence: How NeuroTech improves privacy for mistrusted digital environments in a formerly incarcerated population","authors":"Eric Durnell , Ryan T. Howell , Karynna Okabe-Miyamoto , Martin Zizi","doi":"10.1016/j.chb.2025.108794","DOIUrl":"10.1016/j.chb.2025.108794","url":null,"abstract":"<div><div>As digital platforms increasingly mediate everyday life, privacy-preserving technologies must account for the lived experiences of marginalized users. This study investigates how formerly incarcerated individuals, who often face heightened mistrust and feelings of surveillance with technologies, respond to Biometric Access Systems as a solution for privacy concerns. In Study 1, qualitative findings revealed TikTok, Meta, and video conferencing were the most mistrusted digital platforms, with respondents citing persistent surveillance and a lack of control when engaging with these platforms. In Study 2, we evaluated a novel Biometric Access System – NeuroTech – which uses neuro-vibrational patterns for local authentication. Results showed that NeuroTech significantly reduced privacy concerns and increased user engagement, especially among formerly incarcerated users. The strength of NeuroTech comes from its design, which minimizes surveillance by avoiding facial recognition and eliminates data transmission by granting users local, body-based control over their data. Although formerly incarcerated populations may be skeptical of existing systems, they may be receptive to solutions that empower autonomy, especially if implemented with respect.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"173 ","pages":"Article 108794"},"PeriodicalIF":8.9,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bystander behavior in traditional and cyberbullying in late childhood: Profiles, developmental paths, and their associations with psychosocial adjustment 儿童后期传统欺凌和网络欺凌中的旁观者行为：概况、发展路径及其与心理社会适应的关系

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-03 DOI: 10.1016/j.chb.2025.108791

Xin Tian , E. Scott Huebner , Lili Tian

{"title":"Bystander behavior in traditional and cyberbullying in late childhood: Profiles, developmental paths, and their associations with psychosocial adjustment","authors":"Xin Tian , E. Scott Huebner , Lili Tian","doi":"10.1016/j.chb.2025.108791","DOIUrl":"10.1016/j.chb.2025.108791","url":null,"abstract":"<div><div>With the rapid advancement of digital technology, cyberbullying has emerged as a significant challenge for children worldwide, forming a complex ecosystem with traditional bullying. Although bystanders constitute the majority in bullying incidents and critically influence their dynamics, prior research has largely examined them in isolation, overlooking integrated patterns and longitudinal transitions. This study utilized a three-wave longitudinal design and random intercept latent transition analysis (RI-LTA) to identify profiles and developmental paths of bystander behavior across traditional and cyberbullying contexts during late childhood and explored their associations with psychosocial adjustment. Four profiles were identified: consistent pro-bullying, consistent low defending, cyber pro-bullying dominant, and consistent defending. The consistent defending profile showed the highest stability and was associated with favorable psychosocial adjustment, whereas the consistent pro-bullying profile was associated with the poorest psychosocial adjustment. The cyber pro-bullying dominant profile exhibited the lowest stability and the highest likelihood of transitioning into the consistent defending profile. Surprisingly, this profile reported fewer internalizing problems, more prosocial behavior, and higher well-being. Moreover, individuals transitioning from maladaptive bystander profiles to the consistent defending profile was associated with improved psychosocial adjustment, whereas those shifting in the opposite direction exhibited declines. These findings highlight late childhood as a pivotal period for bystander-focused interventions and offer empirical support for integrated bullying prevention strategies.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"173 ","pages":"Article 108791"},"PeriodicalIF":8.9,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145004909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0