Computers in Human Behavior最新文献

Measuring machine companionship experiences: Scale development and validation for AI companions 测量机器陪伴体验：AI陪伴的量表开发与验证

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2026-06-01 Epub Date: 2026-02-09 DOI: 10.1016/j.chb.2026.108945

Jaime Banks

{"title":"Measuring machine companionship experiences: Scale development and validation for AI companions","authors":"Jaime Banks","doi":"10.1016/j.chb.2026.108945","DOIUrl":"10.1016/j.chb.2026.108945","url":null,"abstract":"<div><div>The mainstreaming of companionable machines—customizable artificial agents designed to participate in ongoing, idiosyncratic, socioemotional relationships—is met with relative theoretical and empirical disarray, according to recent systematic reviews. In particular, the conceptualization and measurement of machine companionship (MC) is inconsistent or sometimes altogether missing. This study starts to bridge that gap by developing and initially validating a novel measurement to capture MC experiences—the unfolding, autotelic, positively experienced, coordinated connection between human and machine—with AI companions (AICs). After systematic generation and expert review of an item pool (including items pertaining to dyadism, coordination, autotelicity, temporality, and positive valence), <em>N</em> = 467 people interacting AICs responded to the item pool and to construct validation measures. Through exploratory factor analysis, two factors were induced: Eudaimonic Exchange and Connective Coordination. Construct validation analyses indicate the factors function largely as expected (and confirmed in a second sample; <em>N</em> = 249). <em>Post-hoc</em> analyses of deviations suggests two different templates for MC with AICs: One socioinstrumental and one autotelic.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"179 ","pages":"Article 108945"},"PeriodicalIF":8.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385665","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

AI byline, human content: Exploring how source and message framing shape news perception 人工智能署名，人类内容：探索来源和信息框架如何塑造新闻感知

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2026-06-01 Epub Date: 2026-02-12 DOI: 10.1016/j.chb.2026.108949

Jino Chung, Jihye Lee

引用次数: 0

Framing responsibility: Human and AI agent effects on apology effectiveness in service failures 框架责任：人类和人工智能代理对服务故障道歉有效性的影响

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2026-06-01 Epub Date: 2026-02-02 DOI: 10.1016/j.chb.2026.108931

Jihyun Soh, Eunice Kim

{"title":"Framing responsibility: Human and AI agent effects on apology effectiveness in service failures","authors":"Jihyun Soh, Eunice Kim","doi":"10.1016/j.chb.2026.108931","DOIUrl":"10.1016/j.chb.2026.108931","url":null,"abstract":"<div><div>As artificial intelligence (AI) systems become increasingly prevalent in service interactions, understanding how people assign responsibility and respond to apologies from AI versus human agents is critical for designing effective communication strategies. This research examines how the type of service agent (human vs. AI), the nature of a crisis (value-based vs. performance-based), and attribution strategy (internal vs. external) jointly shape individuals’ perceptions and evaluations of crisis responses. Across two experimental studies, we show that people interpret the moral and functional accountability of agents differently depending on the type of failure and the perceived capacity of the agent. In Study 1, value-based crises elicited stronger negative reactions when a human agent was involved, whereas AI agents were evaluated more harshly in performance-based failures. Study 2 introduces attribution strategy as a moderator and reveals that the effectiveness of an apology hinges on the congruence between agent type, crisis type, and attribution framing. Internal attributions were more effective for human agents in value-related crises and for chatbot agents in performance-related ones, while external attributions were more acceptable in contexts where the agent was not perceived to bear moral or functional responsibility. These findings apply attribution theory to the context of AI-mediated service crises by highlighting agent–crisis–attribution fit as a key determinant of apology effectiveness, with implications for apology design, organizational accountability, and the future of human-machine communication in digital service environments.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"179 ","pages":"Article 108931"},"PeriodicalIF":8.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385744","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

Training and oversight of algorithms in social decision-making: Algorithms with prescribed selfish defaults breed selfish decisions 社会决策中算法的训练和监督：带有预设自私默认值的算法会产生自私的决策

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2026-06-01 Epub Date: 2026-01-20 DOI: 10.1016/j.chb.2026.108924

Terence D. Dores Cruz , Mateus A.M. de Lucena

{"title":"Training and oversight of algorithms in social decision-making: Algorithms with prescribed selfish defaults breed selfish decisions","authors":"Terence D. Dores Cruz , Mateus A.M. de Lucena","doi":"10.1016/j.chb.2026.108924","DOIUrl":"10.1016/j.chb.2026.108924","url":null,"abstract":"<div><div>Human social preferences increasingly shape oversight or training data for Artificial Intelligence (AI) social decisions that affect human–human interactions. We test how algorithms with and without prescribed social preferences shape social decision-making and delegation. In an incentivised online experiment (n = 1290), participants completed a Social Value Orientation (SVO) measure as input to a decision-making algorithm, revealing their preferences for outcomes favouring oneself or an anonymous other. We manipulated whether participants (1) provided training data to an algorithm without prescribed preferences by answering the SVO without defaults or (2) oversaw algorithms with prescribed preferences by including proself/prosocial pre-selected defaults for each item. When decisions involved an algorithm, defaults were labelled as algorithmic; in a control condition, identical defaults were unlabelled. Participants’ social preferences were not significantly impacted by providing input to an algorithm without prescribed preferences (vs no defaults) nor by oversight of the algorithm with prescribed prosocial preferences (vs identical unlabelled defaults and vs the algorithm without prescribed preferences). Only providing oversight of the algorithm with prescribed proself preferences resulted in more selfish social preferences (vs the algorithm without prescribed preferences and vs the algorithm with prescribed prosocial preferences), even though participants perceived feeling less influenced by proself than prosocial defaults. Most participants delegated a second social decision-making task to the algorithm they encountered. These findings tentatively suggest that human-in-the-loop oversight, where humans can alter algorithmic suggestions, might alone fall short to address algorithmic biases, as individuals acted more selfishly when exposed to pre-existing selfish tendencies in algorithms.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"179 ","pages":"Article 108924"},"PeriodicalIF":8.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146045287","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

Virtual characters, real emotions: Avatar identification and psychological transformation across esports and K-pop fandoms 虚拟角色，真实情感：电子竞技和K-pop粉丝的化身识别和心理转变

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2026-06-01 Epub Date: 2026-02-16 DOI: 10.1016/j.chb.2026.108951

Yi-Ting Huang , Yu-Chiao Huang , En-Chia Lin

{"title":"Virtual characters, real emotions: Avatar identification and psychological transformation across esports and K-pop fandoms","authors":"Yi-Ting Huang , Yu-Chiao Huang , En-Chia Lin","doi":"10.1016/j.chb.2026.108951","DOIUrl":"10.1016/j.chb.2026.108951","url":null,"abstract":"<div><div>As virtual idols become central actors in transmedia entertainment ecosystems, the psychological connections between fans and virtual characters have grown more diverse and complex. K/DA, a virtual girl group that blends the <em>League of Legends</em> game universe with K-pop idol imagery, serves as a representative case of transmedia character design. Guided by social cognitive theory and drawing on self-expansion theory, this study examines how fans form avatar identification through engagement with virtual characters. We distinguish three fan groups—esports players, K-pop fans, and dual fans—and construct a psychological transformation model based on four analytical categories: avatar characteristics, celebrities’ real-world influence, media richness, and self-image congruence. This study collected survey data from 800 valid respondents and analyzed the data using partial least squares structural equation modeling. The results indicate that narrative engagement, ideal self-image congruence, and ideal others-image congruence are stable predictors of avatar identification across fan groups, whereas physical attractiveness, worship, and vividness exhibit group-specific effects. These findings deepen the understanding of the psychological processes underlying avatar identification in transmedia contexts and provide empirical implications for virtual idol management and fan engagement strategies.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"179 ","pages":"Article 108951"},"PeriodicalIF":8.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385739","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

Esports and VR: how does it change EEG spectral dynamics of attention shift and maintenance? 电子竞技和VR：它如何改变注意力转移和维持的脑电图频谱动态？

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2026-06-01 Epub Date: 2026-02-16 DOI: 10.1016/j.chb.2026.108947

Alena Ovakimian, Ekaterina Karimova

{"title":"Esports and VR: how does it change EEG spectral dynamics of attention shift and maintenance?","authors":"Alena Ovakimian, Ekaterina Karimova","doi":"10.1016/j.chb.2026.108947","DOIUrl":"10.1016/j.chb.2026.108947","url":null,"abstract":"<div><div>The rapid expansion of technology is raising new questions about changes in attention skills in virtual reality (VR) and video games. In this study, we compared attention shifting and maintenance in a gamified Posner cueing task performed in virtual reality (VR) versus a traditional desktop (DT) setting, and between professional esports players and control participants. 69 healthy people took part in the study. EEG spectral markers (event-related desynchronization/synchronization (ERD/ERS) of attentional shift and maintenance were analyzed in the dorsal attention network (DAN) areas. Peak amplitudes and latencies were compared for the attention shift vs maintenance, VR vs DT demonstration and eSports athletes vs 2 groups of controls (amateurs and control group). Behaviorally, participants showed a pseudoneglect (faster responses to left targets) effect.</div><div>slower RT in VR. A reduced degree of alpha ERD amplitude and an earlier beta ERD peak in the VR environment was shown. This is associated with a reduced requirement for visual processing and earlier attentional control in VR.</div><div>The eSports players showed faster RT, attentional resources balance (theta ERS results) and flexible attentional control/policy and motor preparation strategy adaptation in DT after attentional shift and maintenance (beta ERD results), compared to the controls. Our results underscore the importance of considering environment and expertise when evaluating attentional processes.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"179 ","pages":"Article 108947"},"PeriodicalIF":8.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385667","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

Offended by the algorithm: The hidden interpersonal costs of clients seeking AI second opinion 被算法冒犯：客户寻求人工智能第二意见的隐藏人际成本

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2026-06-01 Epub Date: 2026-02-03 DOI: 10.1016/j.chb.2026.108934

Gerri Spassova , Mauricio Palmeira

{"title":"Offended by the algorithm: The hidden interpersonal costs of clients seeking AI second opinion","authors":"Gerri Spassova , Mauricio Palmeira","doi":"10.1016/j.chb.2026.108934","DOIUrl":"10.1016/j.chb.2026.108934","url":null,"abstract":"<div><div>Rapid advances in artificial intelligence have enabled the rise of AI-enabled advisory tools. While these tools benefit decision-makers, they also introduce new competitive pressures for human advisors whose expertise they may complement or replace. Prior research shows that advisors react negatively when clients approach other advisors, feeling offended and becoming less willing to maintain the relationship. Yet little is known about how advisors respond when the other advisor is an AI system rather than a human. Across four studies, we examine how professionals perceive and react to clients who consult AI-enabled (vs. other human) advisors. We find that learning a client has also sought AI (vs. other human) advice <em>decreases</em> focal advisors' motivation to work with that client. This effect persists even when clients use AI only for background information or as a complementary resource. We propose that advisors view AI as substantially inferior to themselves; thus, being placed in the same category as an AI system feels insulting and signals disrespect, undermining advisors' willingness to engage. We also show that consulting AI may change perceptions of the client, making them appear less competent and warm. Our work contributes to emerging research on the advisor perspective and extends the literature on human responses to AI by shifting attention from AI users to service providers. Practically, the findings suggest that clients’ seemingly innocuous use of AI tools may unintentionally erode their relationships with human advisors.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"179 ","pages":"Article 108934"},"PeriodicalIF":8.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385745","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

AI-generated image-based sexual abuse: Perpetration and consumption across three regions 人工智能生成的基于图像的性虐待：三个地区的犯罪和消费

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2026-06-01 Epub Date: 2026-02-09 DOI: 10.1016/j.chb.2026.108935

Rebecca Umbach , Nicola Henry , Renee Shelby , Gemma Stevens , Kwynn Gonzalez-Pons

{"title":"AI-generated image-based sexual abuse: Perpetration and consumption across three regions","authors":"Rebecca Umbach , Nicola Henry , Renee Shelby , Gemma Stevens , Kwynn Gonzalez-Pons","doi":"10.1016/j.chb.2026.108935","DOIUrl":"10.1016/j.chb.2026.108935","url":null,"abstract":"<div><div>The rapid pace of advancements in AI, paired with widespread availability and decreasing technical barriers, has resulted in significant concern about the generation of nonconsensual, synthetic sexualized imagery (e.g., sexual “deepfakes”). We surveyed a representative sample of 7231 respondents in Australia, the United Kingdom, and the United States to map the prevalence of perpetrating and consuming nonconsensual AI-generated sexualized images. In those three regions, the overall population level rate of creating, sharing, and/or threatening to share images is 3.2%. Men, those under 35, BIPOC respondents, and respondents with a disability are significantly more likely than their counterparts to report these behaviors. 18% of all respondents report deliberately viewing sexual deepfakes, most commonly due to curiosity according to both men and women respondents. These findings suggest that, in addition to working to prevent the creation of nonconsensual AI-generated sexual images, sociotechnical interventions are needed to address the seeming normalization of consuming these images. Potential legal, technical, and educational interventions are discussed.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"179 ","pages":"Article 108935"},"PeriodicalIF":8.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385738","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

Integrating technology acceptance, self-determination, and self-regulation: A structural model of generative AI-supported learning and competence 整合技术接受、自决和自我调节：生成式人工智能支持的学习和能力的结构模型

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2026-06-01 Epub Date: 2026-02-03 DOI: 10.1016/j.chb.2026.108933

Shu Ching Yang

{"title":"Integrating technology acceptance, self-determination, and self-regulation: A structural model of generative AI-supported learning and competence","authors":"Shu Ching Yang","doi":"10.1016/j.chb.2026.108933","DOIUrl":"10.1016/j.chb.2026.108933","url":null,"abstract":"<div><div>This study proposes an integrated framework that synthesizes Technology Acceptance, Self-Determination Theory (SDT), and Self-Regulated Learning (SRL) to explain how learners engage with and learn from AI tools. SRL, which involves proactive planning, monitoring, evaluation, and the regulation of cognition and motivation, is particularly crucial in AI contexts, where learners must manage their learning processes and regulate interactions with intelligent systems that influence cognitive load and task structure. Students using AI need to evaluate AI-generated responses, revise prompts, compare alternative outputs, and integrate AI suggestions with their own reasoning. These tasks represent a sophisticated form of SRL—AI-augmented regulation—where learners coordinate internal metacognition with external AI scaffolding. This study distinguishes between SRL as a macro-level regulatory capacity and Metacognitive Strategy Use (MSU) as a micro-level metacognitive enactment. SRL encompasses broad processes, such as goal setting, planning, and monitoring, while MSU refers to specific, real-time strategies during task execution, such as checking accuracy and revising prompts. By framing SRL and MSU in this way, the study clarifies how broader regulatory capacities enable specific metacognitive actions, facilitating deep learning and task engagement in AI-mediated contexts. This framework offers a developmental account of AI-supported learning that extends beyond simple acceptance to explain the processes by which learners sustain, regulate, and deepen their interaction with AI tools.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"179 ","pages":"Article 108933"},"PeriodicalIF":8.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385746","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

Official onsite event versus unofficial streaming: Understanding the wellbeing formation in esports spectatorship 官方现场赛事与非官方流媒体：了解电子竞技观众的幸福感形成

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2026-06-01 Epub Date: 2026-02-17 DOI: 10.1016/j.chb.2026.108950

Sungkyung Kim, Hee Jung Hong

{"title":"Official onsite event versus unofficial streaming: Understanding the wellbeing formation in esports spectatorship","authors":"Sungkyung Kim, Hee Jung Hong","doi":"10.1016/j.chb.2026.108950","DOIUrl":"10.1016/j.chb.2026.108950","url":null,"abstract":"<div><div>This study explores how esports spectators' motivations lead to psychological benefits in two settings: official onsite events and unofficial online streams. The benefits examined are flow experience and subjective wellbeing. A professional research company conducted a cross-sectional survey of 400 South Korean esports consumers with 200 per viewing context. We used partial least squares structural equation modelling (PLS-SEM) to test the hypothesised relationships. The results showed that all three motivations predicted flow for onsite spectators, while only skill-based and relationship-based motivations influenced flow for online viewers. Entertainment-based motivations directly enhanced wellbeing in both contexts, while relationship-based motivations predicted wellbeing only for online viewers. Flow experience contributed significantly to wellbeing in both groups and fully mediated the skill-based motivation-wellbeing relationship. Despite these variations, multigroup analysis showed no significant differences between viewing contexts. These findings demonstrate that fundamental psychological mechanisms remain consistent across viewing contexts.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"179 ","pages":"Article 108950"},"PeriodicalIF":8.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385741","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