Computers in Human Behavior最新文献

Tinder for teens: Youth digital intimate cultures and tech facilitated violence on Snapchat 青少年Tinder：青少年数字亲密文化和科技助长了Snapchat上的暴力

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-10-09 DOI: 10.1016/j.chb.2025.108823

Betsy Milne , Jessica Ringrose , Tanya Horeck , Kaitlynn Mendes

{"title":"Tinder for teens: Youth digital intimate cultures and tech facilitated violence on Snapchat","authors":"Betsy Milne , Jessica Ringrose , Tanya Horeck , Kaitlynn Mendes","doi":"10.1016/j.chb.2025.108823","DOIUrl":"10.1016/j.chb.2025.108823","url":null,"abstract":"<div><div>Snapchat has long been a pivotal space for youth digital intimate and sexual cultures, as well as gendered and sexual risks and harms. Despite being one of the most widely used social media platforms among youth, there has been little in-depth research that connects Snapchat's unique features and affordances with young users' practices, behaviours, and experiences on the platform. Responding to this gap, our study used mixed methods to explore British <strong>teens'</strong> diverse social, sexual, and intimate experiences on Snapchat. We discuss how Snapchat's unique features, such as disappearing images (“Snaps”), algorithmic friend recommendations (“Quick Adds”), and geolocation tracking technology (\"Snap Maps”), form new conditions and environments for <strong>teens'</strong> experiences of socialising, courtship, sexting, and technology-facilitated gender-based and sexual violence. We explore how teens'desires for intimacy underpin their motivations to continue to engage in a range of risk-taking activities—despite their awareness of the dangers involved. We conclude with recommendations for better platform specific regulation and digital literacy that pays attention to <strong>teens</strong>' rights and agency.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"174 ","pages":"Article 108823"},"PeriodicalIF":8.9,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269478","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

Rethinking social media and mental health: The role of emotion regulation difficulties 重新思考社交媒体与心理健康：情绪调节困难的作用

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-10-08 DOI: 10.1016/j.chb.2025.108825

Daniel J. Brown , Riley Scott , Renee Ireland , Jacqueline Harness , Daniel J. Phipps , Jacob J. Keech

{"title":"Rethinking social media and mental health: The role of emotion regulation difficulties","authors":"Daniel J. Brown , Riley Scott , Renee Ireland , Jacqueline Harness , Daniel J. Phipps , Jacob J. Keech","doi":"10.1016/j.chb.2025.108825","DOIUrl":"10.1016/j.chb.2025.108825","url":null,"abstract":"<div><div>Research, on the whole, does not suggest that time spent on social media is associated with risks to mental health, although it is possible there are more nuances about how people use social media. Further, evidence suggests that individuals with emotion regulation difficulties may be drawn to certain social media behaviours as a means of coping with distress. The present study aimed to examine whether emotion regulation difficulties predict patterns of social media use and, in turn, symptoms of depression and anxiety. We examined four distinct types of social media use: (1) image management-based, (2) social comparison-based, (3) negative engagement-based, and (4) passive consumption-based. Sampling 548 adults aged 18–84 years (M<sub>age</sub> = 33.16, <em>SD</em> = 17.37; 401 (73.2 %) female; 128 (23.2 %) male), we tested a structural equation model to examine whether the four distinct types of social media use mediated links between difficulties in emotion regulation at Time 1 and depression and anxiety symptomology at Time 2, one week later. Results suggested that, when controlling for age, difficulties in emotion regulation significantly predicted all types of social media use and symptoms of depression and anxiety over one week. Only comparison-based social media use predicted anxiety symptoms over time. The model explained 50.1 % and 52.1 % of the variance in depression and anxiety symptoms, respectively. Taken together, these findings suggest the critical importance of emotion regulation in predicting mental health. By contrast, with the exception of social comparison and anxiety, no form of social media use predicted mental health outcomes.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"174 ","pages":"Article 108825"},"PeriodicalIF":8.9,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269479","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

How audiences make sense of deepfake resurrections: A multilevel analysis of realism, ethics, and cultural meaning 观众如何理解深度假复活：现实主义、伦理和文化意义的多层次分析

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-10-03 DOI: 10.1016/j.chb.2025.108822

María T. Soto-Sanfiel , Qiaofei Wu

{"title":"How audiences make sense of deepfake resurrections: A multilevel analysis of realism, ethics, and cultural meaning","authors":"María T. Soto-Sanfiel , Qiaofei Wu","doi":"10.1016/j.chb.2025.108822","DOIUrl":"10.1016/j.chb.2025.108822","url":null,"abstract":"<div><div>This exploratory qualitative study uses a multilevel framework, combining the Social Construction of Technology (SCOT) and the Cognitive-Affective-Normative (CAN) model, to examine how individual perceptions, emotions, and reflections shape acceptance of resurrection deepfakes, particularly those featuring deceased artists Salvador Dalí (surrealist painter, sculptor, and performance artist in a educative/museum campaign) and Lola Flores (folk singer, actress and dancer in a commercial/beer advertisement). Fifty-one participants (70.37 % female; Mean Age = 24.6) took part in six online focus groups, viewing two randomly selected deepfakes of deceased artists. Thematic analysis, using a phenomenological approach, identified primarily cognitive and evaluative reactions (e.g., judgments of authenticity and ethical considerations) with two key layers: first-order evaluations of realism and second-order societal impact assessments. These impacts spanned micro (individuals), meso (content creators/distributors), and macro (society-wide) levels. Most reactions were cognitively driven, while emotional responses were fewer and largely expressed discomfort or surprise. Moreover, cognitive, affective, and normative responses were shaped by institutional purposes and cultural narratives. This study makes a novel contribution by integrating SCOT and CAN into a multilevel framework for analyzing digital resurrection deepfakes, bridging micro-level appraisals with broader sociotechnical contexts. The findings yield theoretical insights and practical implications for media literacy, cultural heritage, and regulatory interventions in the governance of synthetic media, with particular relevance to resurrection deepfakes.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"174 ","pages":"Article 108822"},"PeriodicalIF":8.9,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269480","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 impact of a robot's agreement (or disagreement) on human-human interpersonal closeness in a two-person decision-making task 在两人决策任务中，机器人的同意（或不同意）对人与人之间的亲密关系的影响

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-25 DOI: 10.1016/j.chb.2025.108807

Ting-Han Lin , Yuval Rubin Kopelman , Madeline Busse , Sarah Sebo , Hadas Erel

{"title":"The impact of a robot's agreement (or disagreement) on human-human interpersonal closeness in a two-person decision-making task","authors":"Ting-Han Lin , Yuval Rubin Kopelman , Madeline Busse , Sarah Sebo , Hadas Erel","doi":"10.1016/j.chb.2025.108807","DOIUrl":"10.1016/j.chb.2025.108807","url":null,"abstract":"<div><div>Robots and artificial agents are becoming increasingly integrated into our lives and show promise in assisting people in decision-making tasks. Despite their advantages, robot-assisted decision-making systems may have negative effects on the relationships between human team members. In this work, we examine the influence of the robot's agreement (or disagreement) on the interpersonal closeness between two participants in a two-person decision-making task. We test the robot's impact in two experiments: Experiment 1 (N = 172, 86 pairs) with a High Anthropomorphism Robot and Experiment 2 (N = 150, 75 pairs) with a Low Anthropomorphism Robot. For both experiments, we use a 2 x 2 study design to examine how the perceived interpersonal closeness between two participants was influenced by two aspects of robot behavior, namely <em>the valence of the robot's feedback</em> (positive feedback or negative feedback) and <em>the treatment of the two participants</em> (equal treatment or unequal treatment). Our results demonstrate that interacting with the High Anthropomorphism Robot led to greater interpersonal closeness between participants when the robot provided positive feedback as opposed to negative feedback. The Low Anthropomorphism Robot had a different and opposite effect: interactions with this robot led to greater interpersonal closeness when the robot's feedback was equal as opposed to unequal and when the robot provided negative feedback as opposed to positive feedback. Our results indicate that robots can shape human-human relationships when indicating their agreement with people's perspectives in two-person decision-making tasks and that the robot's influence depends on its appearance and communication style.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"174 ","pages":"Article 108807"},"PeriodicalIF":8.9,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269477","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

Political Content Engagement Model: A large-scale analysis of TikTok political video content features and audience engagement 政治内容参与模型：大规模分析TikTok政治视频内容特征和受众参与

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-24 DOI: 10.1016/j.chb.2025.108808

Zicheng Cheng , Yanlin Li

{"title":"Political Content Engagement Model: A large-scale analysis of TikTok political video content features and audience engagement","authors":"Zicheng Cheng , Yanlin Li","doi":"10.1016/j.chb.2025.108808","DOIUrl":"10.1016/j.chb.2025.108808","url":null,"abstract":"<div><div>TikTok has emerged as a prominent platform for political information dissemination, where traditional news organizations, political figures, grassroots organizations, and influencers engage audiences on political and civic issues. However, limited research has systematically examined why politically oriented TikTok videos attract engagement. This study introduces the Political Content Engagement Model (PCEM), which explains how political identity, content features, content sources, and topic issues influence engagement. Using a dataset of 578,420 TikTok videos posted by 9722 elite accounts, we use machine learning and topic modeling to analyze how features such as political party references, issue framing, justification, sentiment, civility, and mobilization appeals affect video engagement. Besides, we investigate differences in engagement patterns between liberal- and conservative-leaning TikTok accounts and differentiate between internal and external engagement behaviors. Across both liberal and conservative accounts, civility level and out-party critique consistently emerge as the most powerful predictors of political TikTok video engagement. Our findings contribute to the field of digital political communication by offering insights into TikTok users’ political engagement behavior on TikTok and how different content strategies drive audience interactions.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"174 ","pages":"Article 108808"},"PeriodicalIF":8.9,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160167","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

Malicious insider threats in cybersecurity: A fraud triangle and Machiavellian perspective 网络安全中的恶意内部威胁：欺诈三角和马基雅维利主义视角

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-24 DOI: 10.1016/j.chb.2025.108809

Chelsea Idensohn , Stephen Flowerday , Karl van der Schyff , Yi Ting Chua

{"title":"Malicious insider threats in cybersecurity: A fraud triangle and Machiavellian perspective","authors":"Chelsea Idensohn , Stephen Flowerday , Karl van der Schyff , Yi Ting Chua","doi":"10.1016/j.chb.2025.108809","DOIUrl":"10.1016/j.chb.2025.108809","url":null,"abstract":"<div><div>Malicious insiders remain among the most persistent cybersecurity concerns, yet existing frameworks often overlook the psychological predispositions that drive unethical intent. This study examines how Machiavellianism, a dark personality trait characterized by manipulation, strategic self-interest, and moral disengagement, influences the elements of the well-established criminological framework of the Fraud Triangle to shape insider threat intention. Using a sample of 768 full-time U.S.-based employees and partial least squares structural equation modeling (PLS-SEM), the analysis investigates how Machiavellianism affects perceptions of pressure, opportunity, and rationalization. Results reveal that Machiavellianism significantly influences all three constructs, with rationalization emerging as the strongest and most significant pathway to the intention to commit malicious insider behavior. These findings highlight how individuals high in Machiavellianism cognitively justify unethical actions, positioning rationalization as a key psychological mechanism in threat formation. Theoretically, this study extends insider threat literature by demonstrating the relevance of personality traits, specifically Machiavellianism, in shaping key situational perceptions. It advances understanding of the Fraud Triangle by emphasizing justification not merely as a cognitive condition, but as a pivotal mechanism through which individuals justify malicious intent. By integrating a dark personality trait into a situational framework, this study refines our understanding of how insider threats emerge and supports more behaviorally informed approaches to cybersecurity risk modeling.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"174 ","pages":"Article 108809"},"PeriodicalIF":8.9,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160199","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

Facial emotion recognition from feature loss media: Human versus machine learning algorithms 基于特征损失媒介的面部情感识别：人类与机器学习算法

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-22 DOI: 10.1016/j.chb.2025.108806

Diwakar Y. Dube , Mathy Vandhana Sannasi , Markos Kyritsis , Stephen R. Gulliver

{"title":"Facial emotion recognition from feature loss media: Human versus machine learning algorithms","authors":"Diwakar Y. Dube , Mathy Vandhana Sannasi , Markos Kyritsis , Stephen R. Gulliver","doi":"10.1016/j.chb.2025.108806","DOIUrl":"10.1016/j.chb.2025.108806","url":null,"abstract":"<div><div>The automatic identification of human emotion, from low-resolution cameras is important for remote monitoring, interactive software, pro-active marketing, and dynamic customer experience management. Even though facial identification and emotion classification are active fields of research, no studies, to the best of our knowledge, have compared the performance of humans and Machine Learning Algorithms (MLAs) when classifying facial emotions from media suffering from systematic feature loss. In this study, we used singular value decomposition to systematically reduce the number of features contained within facial emotion images. Human participants were then asked to identify the facial emotion contained within the onscreen images, where image granularity was varied in a stepwise manner (from low to high). By clicking a button, participants added feature vectors until they were confident that they could categorise the emotion. The results of the human performance trials were compared against those of a Convolutional Neural Network (CNN), which classified facial emotions from the same media images. Findings showed that human participants were able to cope with significantly greater levels of granularity, achieving 85 % accuracy with only three singular image vectors. Humans were also more rapid when classifying happy faces. CNNs are as accurate as humans when given mid- and high-resolution images; with 80 % accuracy at twelve singular image vectors or above. The authors believe that this comparison concerning the differences and limitations of human and MLAs is critical to (i) the effective use of CNN with lower-resolution video, and (ii) the development of useable facial recognition heuristics.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"174 ","pages":"Article 108806"},"PeriodicalIF":8.9,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160168","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

Wealth, digital overuse, and the changing landscape of digital inequality 财富、数字设备的过度使用，以及不断变化的数字不平等现象

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-22 DOI: 10.1016/j.chb.2025.108805

Soyoung Park

{"title":"Wealth, digital overuse, and the changing landscape of digital inequality","authors":"Soyoung Park","doi":"10.1016/j.chb.2025.108805","DOIUrl":"10.1016/j.chb.2025.108805","url":null,"abstract":"<div><div>Wealth has long influenced digital inequality by shaping access to and benefits from technologies, yet its role in digital overuse—characterized by perceived dissatisfaction and negative consequences rather than mere screen time—remains underexplored. This study investigates the relationship between income and digital overuse, using data from the 2019–2022 Korean Smartphone Overuse Survey, with 101,625 respondents. Digital overuse is both defined and assessed in terms of self-control failure, behavioral salience, and negative after-effects, analyzed using quantile regression across income percentiles. This study examines whether the unintended consequences of digital engagement, like overuse, are also stratified along socioeconomic lines—just as the benefits of technology have been. To explore this, we test two hypotheses in the context of COVID-19: the Affluence Dependency Hypothesis, which suggests that affluent individuals are more prone to digital overuse due to greater access, and the Resourceful Autonomy Hypothesis, which posits that higher-income individuals are better able to regulate their usage. Results indicate that while affluent individuals exhibited higher overuse during the pandemic, this effect diminished by 2022, suggesting a recovery of control. By extending the discussion of digital inequality beyond access and benefits to include overuse, this study expands the landscape of digital inequalities, revealing a new form of stratification in which economic resources shape not only digital advantages but also the ability to mitigate digital risks.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"174 ","pages":"Article 108805"},"PeriodicalIF":8.9,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223259","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

A study of danmu: Detecting emotional coherence in music videos through synchronized EEG analysis 基于同步脑电图分析的音乐视频情感连贯性研究

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-22 DOI: 10.1016/j.chb.2025.108803

Yuqing Liu , Bu Zhong , Jiaxuan Wang , Yao Song

{"title":"A study of danmu: Detecting emotional coherence in music videos through synchronized EEG analysis","authors":"Yuqing Liu , Bu Zhong , Jiaxuan Wang , Yao Song","doi":"10.1016/j.chb.2025.108803","DOIUrl":"10.1016/j.chb.2025.108803","url":null,"abstract":"<div><div>A novel approach is essential to assess viewers' emotional responses to online music videos, as the emotional coherence between perceived and induced reactions has not been thoroughly explored. This research investigates the relationship between perceived and induced emotional responses to music videos through a unique multimodal framework that integrates electroencephalography (EEG) analysis with natural language processing to examine danmu—user-generated scrolling marquee comments synchronized to specific playback times. Employing a time-synchronized methodology, our deep learning model predicted continuous emotional scores from EEG signals based on danmu sentiment. The findings revealed an over 80 % similarity between the two forms of induced emotional data: EEG-derived emotion curves and danmu sentiment curves across five music videos. We explored periods of divergence by contrasting peak emotional responses during the climaxes of the music, highlighting the significant influence of the multimodal sentiment tone on the alignment between neurophysiological and behavioral emotional trajectories. This study uncovers the coherence between emotion curves derived from EEG and danmu data—a methodology that notably diverges from traditional reliance on self-reports or surveys. The partial consistency observed between perceived and induced emotions, along with the effects of emotional valence and arousal on brain-behavior synchronization, underscores the shared nature of emotions elicited by music videos. Contributing factors include the diversity of emotional experiences and expressions among individuals, as well as the intrinsic rhythmicity within music videos, both of which enhance emotional elicitation.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"174 ","pages":"Article 108803"},"PeriodicalIF":8.9,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222678","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

Embracing the Metaverse: User perception and acceptance of the Metaverse in education 拥抱虚拟世界：用户在教育中对虚拟世界的感知和接受

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-09-21 DOI: 10.1016/j.chb.2025.108804

Patricia Baudier , Tony De Vassoigne , Mitra Arami , Arnaud Delannoy , Rony Germon

{"title":"Embracing the Metaverse: User perception and acceptance of the Metaverse in education","authors":"Patricia Baudier , Tony De Vassoigne , Mitra Arami , Arnaud Delannoy , Rony Germon","doi":"10.1016/j.chb.2025.108804","DOIUrl":"10.1016/j.chb.2025.108804","url":null,"abstract":"<div><div>The COVID-19 crisis accelerated the development of virtual educational tools, including immersive virtual technologies. This study explores the perception and acceptance of Metaverse use in education among individuals with prior experience. A quantitative approach was applied using the METAEDU scale and the Technology Acceptance Model (TAM). As one of the first studies to validate the METAEDU scale, it offers a reliable tool to measure user acceptance. A total of 315 participants were surveyed in January 2024 through a market research platform. Data were analyzed using SmartPLS4 software. Results confirmed: (1) certain METAEDU variables significantly impact perceived ease of use (PEOU) and perceived usefulness (PU); (2) attitude (AT) and creative thinking (CT) influence behavioral intention to use (BITU); (3) PEOU and PU affect AT; and (4) age, gender, and education level act as moderating factors. These findings have important implications for educational institutions adapting to evolving student needs. Validating the METAEDU scale highlights the importance of diverse learning dimensions and provides a robust tool for evaluating the effectiveness and accessibility of Metaverse-based education. Institutions should focus on applications that are both pedagogically valuable and personally engaging for students. <span>Furthermore</span>, demographic differences reveal nuanced variations in adoption, emphasizing the need for customized strategies to support diverse user groups. By understanding these factors, educational organizations can better design and implement virtual learning environments, ultimately enhancing the overall educational experience and fostering greater acceptance of emerging technologies.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"173 ","pages":"Article 108804"},"PeriodicalIF":8.9,"publicationDate":"2025-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118333","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