Computers in human behavior reports最新文献

{"title":"Topic-sensitive differentiation and algorithmic equivalence on short-form video platforms: A systematic review of visual frameworks","authors":"Emerson Johnston,&nbsp;Sunny Xun Liu","doi":"10.1016/j.chbr.2026.101214","DOIUrl":"10.1016/j.chbr.2026.101214","url":null,"abstract":"<div><div>The meteoric rise of short-form video platforms has fundamentally transformed digital media consumption patterns, with content recommendation algorithms serving as powerful arbiters of information dissemination. These algorithms curate vast arrays of content—from entertainment to news to political discourse—raising critical questions about their uniform approach to content recommendation. Through a systematic review of 148 algorithmic models from 123 academic studies published between 2015 and 2025, we investigate how recommendation systems handle different types of content on platforms like TikTok, YouTube Shorts, and Instagram Reels. Our analysis introduces a novel theoretical framework distinguishing between algorithmic equivalence—the practice of applying identical recommendation strategies across all content types regardless of thematic differences—and topic-sensitive differentiation—where systems adjust recommendation strategies based on content themes (e.g., distinguishing political from entertainment content).</div><div>We find that 142 of 148 models (95.9%) exhibit algorithmic equivalence, suggesting a systemic lack of content-type differentiation in proposed or hypothesized recommendation strategies. Our findings suggest that the prevailing one-size-fits-all algorithmic approach may obscure critical public-interest content, and shape user perceptions in unintended ways. The findings highlight a critical need for more adaptive and context-aware recommendation systems.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101214"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148641825","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":"A scoping review of survey questions assessing online hate speech","authors":"Vasja Vehovar,&nbsp;Živa Šubelj,&nbsp;Andraž Petrovčič,&nbsp;Jošt Bartol","doi":"10.1016/j.chbr.2026.101212","DOIUrl":"10.1016/j.chbr.2026.101212","url":null,"abstract":"<div><div>Hate speech refers to negative communication that targets individuals or groups based on their characteristics (e.g. ethnicity, sexual orientation). The rise of digital communication has amplified its prevalence, making online hate speech (OHS) a pressing societal challenge that requires broad research perspectives and diverse methodological approaches. Survey research is particularly valuable for exploring OHS-related experiences, perceptions, and attitudes among victims, perpetrators, and the general public. However, no comprehensive literature review has yet examined the survey instruments used in OHS research. This study addresses this gap through a scoping review of 127 studies comprising 579 survey questions. The results revealed limited use of probability sampling, underrepresentation of studies outside the Global North, strong concentration in a few national contexts, lack of platform-specific analyses, and insufficient attention to older populations. With respect to survey questions, methodological limitations were identified in relation to question types, measurement scales, wording clarity, and layout formats, as well as an overall shortage of methodological rigour. Regarding target characteristics, questions often referred to broad categories, lacking comprehensiveness and specificity. In terms of content, the open-coding process identified 11 OHS topics. These topics mostly focused on direct perceptions and experiences, while less attention was given to the underlying drivers and civic consequences of OHS. The findings underscore the need for developing standardized survey instruments. To support this aim, the OHS survey questions were additionally compiled into a consolidated database to facilitate future research.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101212"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148641826","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":"Smartphone engagement and nomophobia in cognitively diverse older adults","authors":"Margi Engineer,&nbsp;Stephen Becker,&nbsp;Xiang Xiao,&nbsp;Rain Michaels,&nbsp;Amanda Lazar,&nbsp;Emma Dixon","doi":"10.1016/j.chbr.2026.101215","DOIUrl":"10.1016/j.chbr.2026.101215","url":null,"abstract":"<div><div>With the anticipated increase in individuals who are diagnosed with Mild Cognitive Impairment (MCI) and dementia in the coming decades, there is a growing need for interventions to better support these population. Prior research has demonstrated the potential of smartphone apps facilitating interventions, such as providing cognitive training, social engagement, and health tracking. While prior work has demonstrated that people with MCI and dementia are using smartphones, the success of smartphone-based interventions will depend on the extent to which this population engage with and relies upon their smartphones. In this manuscript, we report on a survey study, designed in collaboration with two individuals living with dementia, that compares the self-reported frequency of perceived smartphone use, applications used, and nomophobia - the fear caused by not being able to use one’s phone - of older adult participants with and without a self-reported medical diagnosis of MCI or dementia. Findings indicate similar applications used and frequency of perceived smartphone use between these groups, though participants with a self-reported diagnosis of MCI or dementia reported significantly higher nomophobia. These findings challenge deficit-based perspectives in HCI aging research and underscore the potential for smartphone-based interventions to support this population.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101215"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148641829","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":"Segmenting consumers through unsupervised machine learning and the theory of planned behavior: Insights for digital commerce in Bangladesh","authors":"MD. Shahriar Bin Nazmul,&nbsp;Md Shawmoon Azad,&nbsp;M.R.C. Mahdy","doi":"10.1016/j.chbr.2026.101237","DOIUrl":"10.1016/j.chbr.2026.101237","url":null,"abstract":"<div><div>Social-media commerce increasingly shapes how consumers evaluate sellers, respond to others, and transact through digital platforms, yet psychologically grounded segmentation remains limited in emerging markets. This exploratory study integrates the Theory of Planned Behavior (TPB) with unsupervised machine learning to identify patterns of social-commerce engagement among 266 Bangladeshi social-media users. Twelve standardized items measuring TPB constructs (Attitude, Subjective Norms, and Perceived Behavioral Control) showed acceptable internal consistency (Cronbach's α = 0.721–0.755) and were analyzed using K-means clustering. Cluster solutions were evaluated using Elbow/WCSS, Silhouette, Davies–Bouldin, and Calinski–Harabasz indices. A theory-informed three-cluster solution was retained for behavioral interpretability. The segments comprised Moderate Engagement (56.8%), High Engagement (22.2%), and Low Engagement/Resistant (21.1%) consumers. The results demonstrate that high-engagement consumers are highly responsive to promotions, peer validation, and social-media purchasing, while moderate-engagement consumers show conditional and selective participation. Low-engagement/resistant consumers exhibit limited trust, weaker social influence, and lower confidence in completing purchases through social-media platforms. The findings advance understanding of human behavior in computer-mediated commerce and support segment-sensitive communication strategies in Bangladesh. More broadly, the segments show how consumers communicate trust, respond to peer influence, and exercise control on social-commerce platforms.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101237"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736778","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":"A model of cyber thinking behaviour using experiential learning in robotics education","authors":"Noridayu Adnan,&nbsp;Siti Norul Huda Sheikh Abdullah,&nbsp;Raja Jamilah Raja Yusof,&nbsp;Noor Faridatul Ainun Zainal,&nbsp;Elaheh Yadegaridehkordi,&nbsp;Nazrul Anuar Nayan","doi":"10.1016/j.chbr.2026.101229","DOIUrl":"10.1016/j.chbr.2026.101229","url":null,"abstract":"<div><div>STEM education is growing worldwide, but students often find it hard to engage with because the subjects seem complex. This study introduces a new model to develop students' computational and adversarial thinking skills through hands-on experiences (learning behaviour) and emotion management, based on the Matsuo–Nagata experiential learning approach. After verifying the model's components through focus group discussions with experts, 131 teachers were given a questionnaire to validate the developed model, supported by Partial Least Squares–Structural Equation Modelling analysis. A pilot test was conducted with approximately 116 students and 25 teachers. After expert reviews and surveys with teachers and students, the model, namely the Cyber Thinking Behavioural Model, was tested and comprises four key parts: expected and unexpected experiences, emotion management, cyber thinking, and computational reflection. It promotes learning through robot exploration, reflection, teamwork, curiosity, and problem-solving to suggest short-term cybersecurity skills. The results are consistent with the view that integrating experiential learning with cyber thinking (a combination of computational and adversarial thinking) significantly enhances students' readiness to face cyber-enabled challenges while making STEM learning more engaging and meaningful, positioning the Cyber Thinking Behavioural Model as a practical framework for embedding cybersecurity awareness into school robotics education.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101229"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736782","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 psychological behaviour of users in open banking: Advancing the tri-dimensional security framework","authors":"Cristiano Wilson,&nbsp;Carlos Tam","doi":"10.1016/j.chbr.2026.101228","DOIUrl":"10.1016/j.chbr.2026.101228","url":null,"abstract":"<div><div>Despite the rapid adoption of open banking, user security behaviour remains insufficiently understood, creating critical vulnerabilities within interconnected financial ecosystems. While open banking enables secure data sharing and customer-centred financial innovation, it also increases exposure to cyber threats. Existing research has largely examined technological safeguards, regulation, and security behaviour independently, giving limited attention to how behavioural intention and multidimensional trust shape user security behaviour within open banking ecosystems. This study examines the interrelationship between multidimensional trust, behavioural intention, and user security behaviour in open banking environments. Drawing upon the theory of planned behaviour and the network of trust in information systems, a mixed-methods approach was employed, combining 204 survey responses from UK open banking users with eight semi-structured interviews. The findings show that both attitude and perceived behavioural control significantly and positively predict behavioural intention, while behavioural intention strongly predicts security behaviour within the theory of planned behaviour framework. Overall trust exhibits a small but statistically significant negative moderating effect on the attitude–behavioural intention relationship. These results indicate that users’ security behaviour in open banking ecosystems is primarily driven by behavioural intention, which is shaped by favourable attitudes and perceived behavioural control. The study advances the Tri-dimensional security framework by suggesting that cyber resilience in open banking emerges from the interaction between behavioural intention and multidimensional trust, offering a more comprehensive account of security behaviour in digital financial systems.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101228"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736862","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":"Surrogate bias: Behavioral and physiological effects of seeing ingroup and outgroup virtual agents touching one's embodied avatar.","authors":"Matteo P Lisi, Anna Giometti, Martina Fusaro, Salvatore M Aglioti","doi":"10.1016/j.chbr.2026.101273","DOIUrl":"10.1016/j.chbr.2026.101273","url":null,"abstract":"<p><p>Social touch is a primary channel for intergroup communication, yet how touch responses are shaped by group membership and individual differences (intergroup disgust, perceived attractiveness, ideological attitudes, implicit bias, and interpersonal distance preferences) remains poorly understood. Immersive virtual reality (IVR) offers a powerful tool to examine such processes under quasi-ecological yet controlled conditions. We recorded subjective and physiological responses - skin conductance and heart rate, used as autonomic arousal indices of implicit reactivity to socially salient stimuli - from heterosexual Caucasian participants (48 men, Experiment 1; 48 women, Experiment 2) as they observed touches applied to intimate, neutral, and social body areas of their gender-matched embodied avatar, delivered by Caucasian or African, male or female virtual agents. Behavioral results showed that men rated female avatars as more attractive, and attractiveness strongly predicted touch evaluations. Intergroup disgust predicted lower attractiveness of outgroup female avatars and greater interpersonal distance, while right-wing authoritarianism predicted greater touch appropriateness from female than male avatars. Women rated outgroup male avatars as more attractive; attractiveness predicted touch appropriateness, pleasantness, disgust, and erogeneity. Implicit racial bias indirectly reduced outgroup touch pleasantness via its effect on avatar attractiveness. Physiologically, men showed increased skin conductance to outgroup male touches on intimate and social areas, while women exhibited heart rate deceleration to intimate versus neutral touches. Interpersonal distance correlated with touch evaluation, suggesting a preparatory role for proxemics in social touch. Together, these findings demonstrate how IVR and physiological approaches can elucidate individual and social factors shaping intergroup proxemics, with implications for prejudice-reduction interventions.</p>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"None"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13576381/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148978372","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":"Transforming public administration workflows with multi-agent AI: A human-in-the-loop knowledge orchestration framework","authors":"Giuseppe Prencipe,&nbsp;Alessandro Tommasi,&nbsp;Cesare Zavattari,&nbsp;Giovacchino Tesi,&nbsp;Lorenzo Storchi,&nbsp;Kussai Shahin","doi":"10.1016/j.chbr.2026.101253","DOIUrl":"10.1016/j.chbr.2026.101253","url":null,"abstract":"<div><div>Public administrations face increasing pressure to manage large volumes of institutional knowledge while ensuring transparency, accountability, and timely responses to citizen and council inquiries. This paper presents CARE (Council Agents for Response and Engagement), a human-in-the-loop multi-agent artificial intelligence system designed to support knowledge-intensive workflows within the Autonomous Province of Trento. CARE orchestrates specialized AI agents through a stateful workflow architecture, integrating hybrid retrieval-augmented generation over a corpus of more than 160,000 administrative documents.</div><div>Unlike conventional automation approaches, the system models existing governance processes, preserves institutional responsibility boundaries, and ensures traceable document grounding in response generation. Deployed in production for six months and used by 30 administrative staff members, CARE achieved a 70% reduction in response preparation time while maintaining human oversight and institutional control.</div><div>The study contributes a socio-technical architecture for AI-assisted public administration, demonstrating how multi-agent orchestration, human-in-the-loop design, and hybrid knowledge retrieval can enhance institutional knowledge reuse without compromising accountability. Implications for digital transformation, AI governance, and responsible adoption of generative AI in the public sector are discussed.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101253"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148776395","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":"Feasibility and acceptance of a virtual reality-based program for cognitive and physical training in older adults with cognitive complaints: A pilot randomized controlled trial","authors":"Sara Arlati,&nbsp;Flaminia Franchini,&nbsp;Andrea Zangiacomi,&nbsp;Simona Gabriella Di Santo","doi":"10.1016/j.chbr.2026.101231","DOIUrl":"10.1016/j.chbr.2026.101231","url":null,"abstract":"<div><div>Virtual Reality (VR)– based interventions have emerged as promising tools to support cognitive health in older adults; however, evidence on their clinical impact and real-world acceptability remains mixed. This study investigated the feasibility, acceptance, and preliminary effectiveness of a 12-week program using a VR system to provide cognitive stimulation (CS), physical exercise (PE), or their combination (CS + PE) to older adults with cognitive complaints. Eighty community-dwelling older adults with MCI or SCD were enrolled in the study and allocated via block-randomization to CS, PE, CS + PE, or a control group. Participants in the intervention arms trained twice weekly for 12 weeks within VR-based environments simulating everyday activities (supermarket tasks, street-crossings, and park cycling). Cognitive, functional, and emotional measures were collected at baseline, post-intervention, and four-month follow-up. Acceptance and user experience were assessed through questionnaires and semi-structured interviews at the end of the training. Results revealed that the cognitive status remained globally stable in all groups, even if CS and CS + PE showed positive trends in long-term verbal memory compared to controls, persisting at follow-up. PE alone did not result in any cognitive improvements. User experience was positive: participants valued ecological scenarios, clarity of interactions, and perceived cognitive challenge. Reported barriers included boredom, task length, and insufficient customization. While cognitive effects were limited, users perceived meaningful benefits in attention, daily functioning, and self-efficacy. Future work should include larger samples and possibly individuals with more severe cognitive impairment. Our results suggest focusing on customization and enhanced motivational features to promote higher participants’ engagement.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101231"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736776","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":"Would you rely on an eerie agent? A systematic review of the impact of the uncanny valley effect on trust in human-agent interaction","authors":"Ahdiyeh Alipour,&nbsp;Tilo Hartmann,&nbsp;Maryam Alimardani","doi":"10.1016/j.chbr.2026.101220","DOIUrl":"10.1016/j.chbr.2026.101220","url":null,"abstract":"<div><div>Trust is a fundamental component of human-agent interaction. As artificial agents become more common in daily life, it is essential to understand how people perceive and trust them. One key challenge is the Uncanny Valley Effect (UVE), in which increasingly humanlike agents can appear eerie or aversive. Despite growing interest in both trust and the UVE, research varies widely in how these concepts are defined and measured, making it unclear when and how the UVE affects trust. A systematic account of their relationship is therefore still missing. This review examines the impact of the UVE on human trust in artificial agents, broadly conceptualized as a willingness to rely on an agent based on beliefs in its competence, good intentions, and reliability, even in situations where such reliance involves uncertainty or risk. Moreover, it identifies methodological patterns, limitations, and gaps in the empirical literature. Following PRISMA guidelines, a systematic search identified 53 empirical studies that investigated UVE-related constructs alongside trust or trust-related outcomes. We analyzed these studies using a structured set of categories, including agent types, interaction forms, methodological approaches, measurement strategies, and key findings. The review shows that most studies rely on static images or hypothetical scenarios with limited real-time interaction, and that the majority use subjective trust measures vulnerable to bias. We further propose best-practice criteria for empirically investigating the UVE and its effects on trust. As the first systematic attempt to map this intersection, the review clarifies the current evidence base and provides a foundation for future research.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101220"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148641827","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}