Computers in Human Behavior最新文献_第4页

Devoted or addicted?Modeling gaming addiction in eSports 投入还是沉迷？电子竞技中的游戏成瘾建模

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-10-11 DOI: 10.1016/j.chb.2024.108470

Mirella Yani-de-Soriano , Thiago Rafael Ferreira Marques , Tânia Veludo-de-Oliveira , Suzana Valente Battistella-Lima

{"title":"Devoted or addicted?Modeling gaming addiction in eSports","authors":"Mirella Yani-de-Soriano , Thiago Rafael Ferreira Marques , Tânia Veludo-de-Oliveira , Suzana Valente Battistella-Lima","doi":"10.1016/j.chb.2024.108470","DOIUrl":"10.1016/j.chb.2024.108470","url":null,"abstract":"<div><div>eSports is enjoyed by many gamers worldwide; however, gaming addiction poses a serious challenge for eSports users and society. This study employs social learning theory (SLT) as an overarching theory to examine how eSports consumption can lead to addiction and identify users who are at higher risk of developing addictive behavior. We employed a face-to-face survey of 230 Brazilian eSports users to develop and test a model of gaming addiction in eSports, which was analyzed using partial least squares structural equation modeling. The findings revealed positive and significant relationships between eSports athlete role model influence and user devotion, user devotion and gaming addiction, and gaming addiction and guilt. Furthermore, the relationship between eSports athletes role model influence and guilt is sequentially mediated by user devotion and gaming addiction, and users with lower (higher) levels of competitiveness are more (less) at risk of addiction. This is the first study to provide a consumer psychology perspective on user behavior that offers novel insights into the interplay between eSports athletes role model influence, user devotion, and competitiveness in driving addictive behavior. Importantly, the findings reveal the significant role of competitiveness in buffering against gaming addiction. Theoretically, our model, underpinned by SLT, demonstrates that the social environment, personal factors, and gaming addiction itself are reciprocally related to each other in determining addictive behavior. This conceptualization implies that interventions targeting one factor impact all other factors as gaming addiction is continually evolving in response to changes in the environment and the user.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108470"},"PeriodicalIF":9.0,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433554","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

BoPo online, BoPo offline? Engagement with body positivity posts, positive appearance comments on social media, and adolescents' appearance-related prosocial tendencies 网上 BoPo，网下 BoPo？参与身体积极性帖子、社交媒体上积极的外貌评论以及青少年与外貌相关的亲社会倾向

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-10-09 DOI: 10.1016/j.chb.2024.108471

Nikol Kvardova , Chelly Maes , Laura Vandenbosch

{"title":"BoPo online, BoPo offline? Engagement with body positivity posts, positive appearance comments on social media, and adolescents' appearance-related prosocial tendencies","authors":"Nikol Kvardova , Chelly Maes , Laura Vandenbosch","doi":"10.1016/j.chb.2024.108471","DOIUrl":"10.1016/j.chb.2024.108471","url":null,"abstract":"<div><div>Encouraging prosocial tendencies toward others' physical appearance is crucial for promoting a positive body image during adolescence. Social media content that highlights positive appearance messages can significantly influence these tendencies. Hence, this three-wave panel study explored the impact of exposure to and the posting of Body Positivity (BoPo) posts and positive appearance comments on social media upon adolescents' offline prosocial behavioral tendencies towards others’ appearances, as mediated by appearance-related prosocial reasoning. Using a sample of adolescents aged 12 to 18 (<em>N</em> = 496, <em>M</em><sub>age</sub> = 15.05, <em>SD</em> = 1.49; 67.9% girls), the hypotheses received partial support. At the between-person level, adolescents who more often viewed BoPo and posted positive appearance comments also reported higher appearance-related prosocial tendencies. Nonetheless, on the within-person level, only more often posting positive appearance comments predicted a change to more appearance-related prosocial reasoning from T2 to T3. Notably, the mediation pathways from exposure to and the posting of BoPo and positive appearance comments to appearance-related prosocial tendencies through prosocial reasoning were not significant. Such findings suggest the presence of more significant sources for appearance-related prosocial tendencies than social media during adolescence. Still, the between-person findings can be valuable for peer-led campaigns that aim to foster a positive body image. Such campaigns could identify adolescents with heightened appearance-related prosocial tendencies who tend to engage with body positivity posts and positive appearance comments on social media.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108471"},"PeriodicalIF":9.0,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Blessing or curse? The two-sided effects of algorithmic control on and ego-depletion and safety performance of gig workers 祝福还是诅咒？算法控制对 "临时工 "自我消耗和安全绩效的双面影响

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-10-09 DOI: 10.1016/j.chb.2024.108461

Renee Rui Chen , Jianglian Gao , Xiayu Chen , Qiuhui Huang

{"title":"Blessing or curse? The two-sided effects of algorithmic control on and ego-depletion and safety performance of gig workers","authors":"Renee Rui Chen , Jianglian Gao , Xiayu Chen , Qiuhui Huang","doi":"10.1016/j.chb.2024.108461","DOIUrl":"10.1016/j.chb.2024.108461","url":null,"abstract":"<div><div>The emergence of gig economy has facilitated the adoption of algorithm-based management systems, creating favorable conditions for gig workers. Nevertheless, it also brings various challenges and uncertainties, especially gig workers' safety performance, having become a prominent concern. Based on ego-depletion theory, we investigate the underlying mechanism through which platform algorithmic control influences on safety performance of gig workers. Based on two points of data from 314 gig workers in China, we found that the three dimensions of algorithmic control (viz., standardized guidance, tracking evaluation and behavioral constraint) have differential effects on safety performance. On one hand, algorithmic standardized guidance is negatively related to ego-depletion, which in turn improves safety performance. On the other hand, algorithmic tracking evaluation and behavioral constraint are positively related to ego-depletion, and consequently reducing safety performance. Furthermore, algorithmic transparency moderates the relationship between algorithmic standardized guidance, algorithmic tracking evaluation, and ego-depletion; self-efficacy moderates the relationship between algorithmic standardized guidance and ego-depletion; both trait mindfulness and leadership safety commitment moderate the relationship between ego-depletion and safety performance. This study offers valuable insights for platform enterprises to optimize the effectiveness of algorithmic control.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108461"},"PeriodicalIF":9.0,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142446370","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

Construct validity and applicant reactions of a gamified personality assessment 游戏化人格测评的结构效度和申请人反应

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-10-08 DOI: 10.1016/j.chb.2024.108467

Ioannis Nikolaou, Athena Katsadoraki

{"title":"Construct validity and applicant reactions of a gamified personality assessment","authors":"Ioannis Nikolaou, Athena Katsadoraki","doi":"10.1016/j.chb.2024.108467","DOIUrl":"10.1016/j.chb.2024.108467","url":null,"abstract":"<div><div>This study introduces the HEXACO-RUSH, a gamified version of the HEXACO Situational Judgment Test developed by Oostrom and her colleagues (2019). HEXACO-RUSH is a new fantasy-adventure, narrative game, where the player makes a series of decisions in a similar format like a situational judgment test. We first present evidence on the construct validity (N = 240) of the game in relation to an existing traditional personality assessment (HEXACO-60), and in a second study (N = 160), we explore perceptions towards the game using a repeated measures, within-samples research design, again compared to HEXACO-60, with a sample of participants who assumed the role of a job applicant. Our results provided preliminary support for a moderate alignment between the new game and the HEXACO model, with average correlations of .43 across the six dimensions. It also exhibited positive participants' reactions, compared to HEXACO-60, although these were moderated by previous video-gaming experience (but not age). Overall, this study provides some initial evidence for an alternative assessment of the six personality factors with improved participants’ reactions and higher resistance to faking, but further research is required to confirm its test re-test reliability and criterion-related validity, with larger employee or applicant samples.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108467"},"PeriodicalIF":9.0,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142424533","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

Discovery of cybervictimization-associated factors among adolescents: Using machine learning and network analysis 发现青少年网络受害的相关因素：利用机器学习和网络分析

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-10-08 DOI: 10.1016/j.chb.2024.108469

Wenwu Dai , Hongxia Wang , Zhihui Yang

{"title":"Discovery of cybervictimization-associated factors among adolescents: Using machine learning and network analysis","authors":"Wenwu Dai , Hongxia Wang , Zhihui Yang","doi":"10.1016/j.chb.2024.108469","DOIUrl":"10.1016/j.chb.2024.108469","url":null,"abstract":"<div><div>The issue of cybervictimization among adolescents is escalating, presenting a significant public concern. Recent research has turned to use a more robust method, machine learning, to explore important predictors for adolescent cybervictimization. The current study tested an extreme gradient boosting (XGBoost) machine learning algorithm to detect cybervictimization-associated factors among adolescents and used network analysis to explore associations between these factors for future targeted interventions. By combining a 6-month longitudinal design, a total of 1181 Chinese adolescents (the average age was 15.78 ± 1.67 years, 55.9% girls) participated in the study. The XGBoost model with satisfactory performance selected the top 10 features from 22 variables associated with cybervictimization by using SHAP value. The network analysis results indicated that maladaptive cognitive emotion regulation strategy is a central node and it has positive correlations with negative self-schema and depression. The XGBoost model and network analysis were useful methods for discovering and understanding cybervictimization-related factors among adolescents. Moreover, these essential factors could offer insights into future interventions for cybervictimization.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108469"},"PeriodicalIF":9.0,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142424532","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 ‘AI or human: How endorser shapes online purchase intention? [Computers in Human Behavior 158 (2024) 108300] 人工智能还是人类：代言人如何影响网购意向？[计算机在人类行为中的应用 158 (2024) 108300]

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-10-02 DOI: 10.1016/j.chb.2024.108446

Yang Song , Litong Wang , Zhiyuan Zhang , Lubica Hikkerova

引用次数: 0

Unveiling digital mirrors: Decoding gendered body poses in instagram imagery 揭开数字镜子的面纱解码 instagram 图像中的性别身体姿势

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-10-02 DOI: 10.1016/j.chb.2024.108464

Dorian Tsolak , Simon Kühne

{"title":"Unveiling digital mirrors: Decoding gendered body poses in instagram imagery","authors":"Dorian Tsolak , Simon Kühne","doi":"10.1016/j.chb.2024.108464","DOIUrl":"10.1016/j.chb.2024.108464","url":null,"abstract":"<div><div>Social media platforms have had a significant impact on people's everyday lives worldwide and imagery on social media has become a vital means of practicing views of the self and communicating them to others. Albeit a significant proportion of people frequently upload self-representations on social media, this source of information on individuals, groups, and societies remains under-examined within the social sciences and neighboring disciplines. In our study, we focus on gender-stereotypical body-posing in self-portraits on social media. While sociology has examined gender stereotypes for decades, research lacks empirical evidence on representations in digital contexts as well as novel forms of stereotyping. We present a scalable and transferable methodology for analyzing body poses in images by combining neural network pose detection with an unsupervised learning approach and applying this methodology to data from the social media platform Instagram. Based on a clustering algorithm applied to gender-annotated imagery, we identify 150 body posing clusters. Our results reveal significant gender differences in 20 percent of clusters, many of which represent gender-stereotypical body poses addressed in sociological literature. Moreover, we can identify new stereotypical poses related to smartphone technology and social media trends. This study represents a novel approach to utilizing large-scale image data for social science research and contributes to a better understanding of the consolidation and reproduction of gender stereotypes in digital realms.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"163 ","pages":"Article 108464"},"PeriodicalIF":9.0,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Technological optimism surpasses fear of missing out: A multigroup analysis of presumed media influence on generative AI technology adoption across varying levels of technological optimism 技术乐观主义超越了对错过的恐惧：对不同技术乐观程度的媒体对采用人工智能生成技术的假定影响的多组分析

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-10-02 DOI: 10.1016/j.chb.2024.108466

Xiaodong Yang , Bing Song , Liang Chen , Shirley S. Ho , Jin Sun

{"title":"Technological optimism surpasses fear of missing out: A multigroup analysis of presumed media influence on generative AI technology adoption across varying levels of technological optimism","authors":"Xiaodong Yang , Bing Song , Liang Chen , Shirley S. Ho , Jin Sun","doi":"10.1016/j.chb.2024.108466","DOIUrl":"10.1016/j.chb.2024.108466","url":null,"abstract":"<div><div>Drawing upon the influence of presumed media influence (IPMI) model, this study investigates indirect media effects on individuals' intentions to adopt generative AI technology, with a further examination of how variations in technological optimism impact the relationships within the IPMI model. Findings from a national survey of 1061 respondents confirmed the existence of presumed media influence in the context of generative AI technology, as individuals’ attention to generative AI technology related media content influenced their presumptions about how others use it, subsequently affecting their adoption intentions through social norm perception, attitude change, and the fear of missing out. Furthermore, a multigroup comparison uncovers divergent presumed media effects on generative AI technology adoption between subgroups characterized by their differing levels of technological optimism, in which high technological optimism was found to trump fear of missing out in driving its adoption.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108466"},"PeriodicalIF":9.0,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529792","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

Frustrated cyber-abuser: Narcissistic traits in the context of the basic psychological needs and cyber dating abuse 沮丧的网络施虐者基本心理需求和网恋虐待背景下的自恋特征

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-10-01 DOI: 10.1016/j.chb.2024.108465

Michaela Valachová, Elena Lisá

{"title":"Frustrated cyber-abuser: Narcissistic traits in the context of the basic psychological needs and cyber dating abuse","authors":"Michaela Valachová, Elena Lisá","doi":"10.1016/j.chb.2024.108465","DOIUrl":"10.1016/j.chb.2024.108465","url":null,"abstract":"<div><div>It is important to identify significant psychological predictors of cyber dating abuse because their knowledge may be valuable to researchers, practitioners, and the general public. The purpose of this study was to examine the impact of two narcissistic traits, vulnerability and grandiosity, on the perpetration of cyber dating abuse. We examined whether basic psychological needs for autonomy, competence, and relatedness mediate this effect. The study sample consisted of 300 working adults (48.66% men; mean = 39.49 years). Participants completed the Vulnerable Narcissism Scale, the Narcissistic Grandiosity Scale, the Cyber Dating Abuse Questionnaire, and the Basic Psychological Needs Satisfaction and Frustration Scale. Path analysis models indicated that both types of narcissism significantly predicted cyber dating abuse. The need for competence partially mediated the effect of narcissistic grandiosity on cyber dating abuse. Competence frustration partially mediated the effect of narcissistic grandiosity on cyber dating abuse (b = .013; p = .019). Competence satisfaction partially mediated the effect of narcissistic grandiosity on cyber dating abuse (b = .021; p = .017). There was no significant effect of basic psychological needs on the relationship between vulnerable narcissism and cyber dating abuse. Adults with higher levels of narcissistic grandiosity may be protected from cyber dating abuse by the need for competence. Future research could examine the effect of the intervention program (e.g., basic psychological needs affirmation) on cyber dating abuse.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108465"},"PeriodicalIF":9.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142424530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

What drives AI-based risk information-seeking intent? Insufficiency of risk information versus (Un)certainty of AI chatbots 是什么驱动了基于人工智能的风险信息搜索意图？风险信息的不足与人工智能聊天机器人的（不）确定性

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-10-01 DOI: 10.1016/j.chb.2024.108460

Soo Jung Hong

{"title":"What drives AI-based risk information-seeking intent? Insufficiency of risk information versus (Un)certainty of AI chatbots","authors":"Soo Jung Hong","doi":"10.1016/j.chb.2024.108460","DOIUrl":"10.1016/j.chb.2024.108460","url":null,"abstract":"<div><div>This study explored the factors influencing the U.S. public's intent to seek risk information via AI-powered channels, such as ChatGPT. It focused on cognitive and affective pathways that lead to uncertainty about both risk information and AI chatbots in the context of climate change risk. We conducted a comparative analysis to discern the impacts of risk perceptions related to climate change and AI-caused privacy risks on public uncertainty and decision-making regarding the use of AI chatbots. Specifically, we assessed how different risk-related perceptions and emotions contribute to subsequent uncertainty perceptions and decision-making regarding AI chatbot use for climate change risk information. We enlisted 1023 U.S. citizens aged 21–65 via CloudResearch in September 2023. The results reveal that high levels of perceived risk, strong negative emotions, and information insufficiency drive information-seeking behavior through AI chatbots. Perceived privacy concerns about AI technology significantly increase AI anxiety, which is positively associated with perceived uncertainty. Both AI anxiety and perceived uncertainty negatively affect the intent to seek information via AI chatbots. Conversely, perceived trust in AI chatbots significantly increases positive emotional responses, reduces perceived uncertainty, and enhances the intent to seek information via AI chatbots. We also investigated the mediation effects within each study model tested. The findings offer theoretical and practical implications for future studies on the public's adoption of AI services for risk information seeking, influenced by both risk-related and technology-based contexts.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108460"},"PeriodicalIF":9.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142424528","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