Computers in Human Behavior最新文献_第2页

How cultural elements shape game evaluations: The role of cultural authenticity and perceived effort 文化因素如何影响游戏评价：文化真实性和感知努力的作用

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-09-16 DOI: 10.1016/j.chb.2024.108452

引用次数: 0

Mobile multitasking in learning: A meta-analysis of effects of mobilephone distraction on young adults’ immediate recall 学习中的手机多任务处理：手机分心对年轻人即时回忆能力影响的荟萃分析

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-09-12 DOI: 10.1016/j.chb.2024.108432

{"title":"Mobile multitasking in learning: A meta-analysis of effects of mobilephone distraction on young adults’ immediate recall","authors":"","doi":"10.1016/j.chb.2024.108432","DOIUrl":"10.1016/j.chb.2024.108432","url":null,"abstract":"<div><p>Mobilephone distraction in learning is a widely observed phenomenon due to dividing and switching attention between learning activities (e.g., attending lectures and reading textbooks) and off-task activities (e.g., texting and chatting). In the past 30 years, hundreds of empirical studies have examined this distraction and generated abundant but inconclusive findings. Built on two influential meta-analyses (Liu et al., 2017; Kates et al., 2018), this meta-analysis aimed to systematically synthesize evidence from 27 randomized controlled experiments, with a total of 55 effect sizes and 2245 participants, and precisely estimate the effect of mobilephone distraction on students' immediate recall scores for the first time. It is concluded that mobilephone distraction (1) causes an overall negative medium-sized effect on immediate recall (Hedges'g = −0.65, 95% CI [-0.81, −0.49]), (2) has a negative nearly-large-sized effect on lecture recall (Hedges's <em>g =</em> −0.70, 95% CI [<em>-.86, -.54</em>]), (3) is significantly moderated by gender but not by the 10 other moderators related to study features and demographical variables, and (4) is not distorted by publication bias, outlier studies, and missing data. These findings and future studies are discussed.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142233852","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

Autism in relation to gaming disorder and internet addiction: A systematic review 自闭症与游戏障碍和网络成瘾的关系：系统回顾

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-09-11 DOI: 10.1016/j.chb.2024.108443

{"title":"Autism in relation to gaming disorder and internet addiction: A systematic review","authors":"","doi":"10.1016/j.chb.2024.108443","DOIUrl":"10.1016/j.chb.2024.108443","url":null,"abstract":"<div><p>The habitual use of electronic devices is commonly observed in populations on the autism spectrum. However, few reviews have examined the extent to which such use becomes problematic and/or disordered (e.g., gaming disorder) in these populations. This review was designed to critically evaluate the literature on autism in relation to gaming disorder (GD) and so-called internet addiction (IA). A systematic search of five databases was conducted, which identified 31 studies. Study quality was generally moderate, with the main weakness across studies tending to relate to psychometrics. A total of 78,442 participants were included across the studies of GD and 14,474 participants in studies of IA. The results showed that, although these conditions appear to be overrepresented in autistic populations, there are no true prevalence studies due to methodological limitations. The frequency rates reported in survey and clinical studies were highly variable and exceeded 20% in some studies. Variables that predict greater risk of problems include being male; adolescent; co-occurring ADHD symptoms; lack of parental rules around devices; parent-child conflict; and high parental stress. There is a need for clinical studies that differentiate excessive gaming and internet use behaviors as either related to impaired control (i.e., addiction) or features of autism (i.e., restricted interests) and determine how these profiles affect overall functioning. Research in this area requires more sophisticated measurement approaches to avoid misclassification of clinical issues that implicate digital technology.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S074756322400311X/pdfft?md5=269f615760fe5f91e4ca6a4412735bb9&pid=1-s2.0-S074756322400311X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142171998","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

Transition-aware human activity recognition using an ensemble deep learning framework 利用集合深度学习框架识别过渡感知的人类活动

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-09-10 DOI: 10.1016/j.chb.2024.108435

{"title":"Transition-aware human activity recognition using an ensemble deep learning framework","authors":"","doi":"10.1016/j.chb.2024.108435","DOIUrl":"10.1016/j.chb.2024.108435","url":null,"abstract":"<div><p>Understanding human activities in daily life is of utmost importance, especially in the context of personalized and adaptive ubiquitous learning. Although existing HAR systems perform well-identifying activities based on their inter-spatial and temporal relationships, they lack in identifying the importance of accurately detecting postural transitions that not only enhance the activity recognition rate and reduced the error rate but also provides added motivation to explore and develop hybrid models. It's in this context we propose an ensemble approach of 1D-CNN and LSTM for the task of postural transition recognition, facilitated by wireless computing and wearable sensors. The proliferation of achieving ubiquitous learning will ultimately lead to the creation of adaptive devices enabled by various data analysis and relation learning techniques. Our approach is one of the methods that can be incorporated to enable seamless learning and acquire correlations with adaptive learning techniques. The experimental results on testing datasets including newly produced HAPT (Human Activities and Postural Transitions) show better classification accuracy than existing state-of-the-art HAR approaches (97.84% for transitional activities and 99.04% for dynamic human activities) indicating the capability of the model in ubiquitous learning scenarios and personalized and adaptive human learning environments.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0747563224003030/pdfft?md5=8aaa469f57822eaae80ceea614b5c0e9&pid=1-s2.0-S0747563224003030-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142163713","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

Ageism on LinkedIn: Discrimination towards older applicants during LinkedIn screening LinkedIn 上的年龄歧视：LinkedIn 筛选过程中对老年申请人的歧视

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-09-08 DOI: 10.1016/j.chb.2024.108430

{"title":"Ageism on LinkedIn: Discrimination towards older applicants during LinkedIn screening","authors":"","doi":"10.1016/j.chb.2024.108430","DOIUrl":"10.1016/j.chb.2024.108430","url":null,"abstract":"<div><p>Building on impression formation theories and the stereotype content model, this study examined age bias in LinkedIn screening, which is an understudied topic despite the aging workforce. An experimental study among 366 HR professionals considered the effects of LinkedIn recommendations (warmth/competence) and recruiters' age stereotypes on older applicants' job suitability ratings. First, we investigated and found that LinkedIn screening is prone to bias against older applicants. Furthermore, although having a recommendation on LinkedIn stressing competence or warmth is beneficial for both younger and older applicants, younger applicants benefited more from a recommendation reflecting their competence compared to older applicants. Second, recruiters' positive stereotypes regarding older workers' competence positively influenced job suitability ratings of older job applicants. This positive effect of recruiters' stereotypes was not affected by counter-stereotypical information emphasized through a recommendation. Understanding how applicants' LinkedIn profile affect recruiters’ hiring outcomes might help organizations to develop policies for fair selection procedures.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From spectatorship to loyalty: Unraveling the influence of game streaming watch and gaming-related social connectivity on MOBA gamers 从围观到忠诚：解读游戏流媒体观看和游戏相关社交连接对 MOBA 游戏玩家的影响

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-09-05 DOI: 10.1016/j.chb.2024.108433

{"title":"From spectatorship to loyalty: Unraveling the influence of game streaming watch and gaming-related social connectivity on MOBA gamers","authors":"","doi":"10.1016/j.chb.2024.108433","DOIUrl":"10.1016/j.chb.2024.108433","url":null,"abstract":"<div><p>Online gaming is quickly gaining popularity, but the effects of game streaming and social connections on player loyalty remain under-explored. This study aimed to investigate the effects of watching game streaming and game-related social connections on player loyalty in MOBA games based on social cognitive theory and social capital theory. Game streaming watching was hypothesized to have a positive effect on personal skills and cooperative game knowledge, and game-related social connections had a positive effect on cooperative game knowledge. In addition, the study examined the effects of these factors on player loyalty. The study was conducted by constructing structural equation modeling and administering questionnaires to 415 MOBA gamers. Specifically, watching game streams significantly improves individual skill and cooperative game knowledge, which in turn positively affects game loyalty. Game-related social connections also significantly increase cooperative game knowledge and directly contribute to higher game loyalty. Furthermore, both individual skill and game cooperation knowledge positively mediated the relationship between game streaming watch and game loyalty. This study provides valuable insights for stakeholders and game industry practitioners by elucidating the mechanisms behind MOBA game loyalty, and promotes greater engagement among MOBA gamers.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0747563224003017/pdfft?md5=0c095447c67b8e697fd9a877bb38e0d7&pid=1-s2.0-S0747563224003017-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142163714","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

From news disengagement to fake news engagement: Examining the role of news-finds-me perceptions in vulnerability to fake news through third-person perception 从脱离新闻到参与假新闻：通过第三人称感知考察 "新闻找到我 "的感知在易受假新闻影响方面的作用

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-09-04 DOI: 10.1016/j.chb.2024.108431

{"title":"From news disengagement to fake news engagement: Examining the role of news-finds-me perceptions in vulnerability to fake news through third-person perception","authors":"","doi":"10.1016/j.chb.2024.108431","DOIUrl":"10.1016/j.chb.2024.108431","url":null,"abstract":"<div><p>Despite the wealth of literature vested in the association between social media use and vulnerability to fake news, it remains underexplored <em>how</em> and <em>what kinds</em> of social media usage contribute to fake news susceptibility. To fill this research gap, we draw upon the emergent scholarship of News-Finds-Me and propose a new conceptual model to examine fake news vulnerability and engagement in digital worlds. Drawing upon an online national sample in the US (<em>N</em> = 1014), results corroborated the prevalence of the News-Finds-Me perception, a social media-derived news attainment pattern that propels users to misconceive knowledgeability, over-depend on intimate peers and algorithms, and disengage from active news learning. Furthermore, evidence showed that News-Finds-Me perceptions make individuals more likely to believe and share fake news by creating a biased mentality that one is fake-news-proof while others are fake-news-impressionable. Such an asymmetric cognitive fallacy is called Third-Person Perception in literature. Our findings elucidate that the widely noted social media empowerment hypothesis might be double-sided. While social media can facilitate the dissemination and diversification of knowledge, they may also foster a sense of illusioned knowledgeability and overconfidence. This, in turn, could impede users from being adequately informed.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142240550","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

eHealth literacy and digital health interventions: Key ingredients for supporting the mental health of displaced youth living in the urban slums of kampala, Uganda 电子保健扫盲和数字保健干预：支持乌干达坎帕拉城市贫民区流离失所青年心理健康的关键因素

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-09-04 DOI: 10.1016/j.chb.2024.108434

{"title":"eHealth literacy and digital health interventions: Key ingredients for supporting the mental health of displaced youth living in the urban slums of kampala, Uganda","authors":"","doi":"10.1016/j.chb.2024.108434","DOIUrl":"10.1016/j.chb.2024.108434","url":null,"abstract":"<div><div>During and after displacement, many displaced youth face increased vulnerability to poor mental health and can encounter inaccurate or confusing health information. Digital tools create new opportunities to reach more of these youth with mental health interventions. Yet maximizing these tools' effectiveness among displaced youth requires understanding their eHealth literacy (eHEALS; i.e., the ability to find, understand, and appraise health information from electronic sources and apply this knowledge to a health problem). Thus, we conducted a community-based cross-sectional survey of 445 displaced youth (16–24 years) living in the slums of Kampala, Uganda to measure their eHEALS and its association with psychosocial wellbeing. Exploratory and confirmatory factor analysis identified a unidimensional measure of eHEALS. Structural equation modeling results indicated that eHEALS was not directly associated with depressive symptoms (β = .08, <em>p</em> = 0.15), but was significantly positively associated with resilience (β = .32, <em>p</em> < 0.001). Resilience was, in turn, significantly negatively associated with depressive symptoms (β = −.21, <em>p</em> < 0.001). The Sobel test for indirect effects confirmed that eHEALS indirectly negatively affected depressive symptoms through resilience (i.e., <em>β</em><sub>indirect effect</sub> = −.07, <em>p</em> = 0.004). Our findings highlight the need for interventionists to develop contextualized eHealth interventions that facilitate displaced youth's ability to access, understand, and use health information to the best of their ability and optimally benefit from services.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0747563224003029/pdfft?md5=f2052b748f4b113cf5c0cafde33b2b38&pid=1-s2.0-S0747563224003029-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142316018","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

The credibility assessment of Twitter/X users based organization objectives by heterogeneous resources in big data life cycle 大数据生命周期中异构资源基于组织目标的 Twitter/X 用户可信度评估

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-09-03 DOI: 10.1016/j.chb.2024.108428

{"title":"The credibility assessment of Twitter/X users based organization objectives by heterogeneous resources in big data life cycle","authors":"","doi":"10.1016/j.chb.2024.108428","DOIUrl":"10.1016/j.chb.2024.108428","url":null,"abstract":"<div><p>Social network data, such as Twitter/X, is of Big Social Data type. Big social data describes people's social behaviors and interactions. They have high business value for decision-making in organizations. However, because of the anonymous nature of social network users, their credibility is ambiguous. Credibility expresses the accuracy and value of big social data. Despite extensive research on the credibility of big social data, most methods have not paid sufficient attention to the important dimensions of their assessment, including user expertise based on topic, selecting social network features, and labeling them. Furthermore, these methods cannot manage the time, high volume, and speed of big social data. To address these issues, this paper presents a novel model for assessing the credibility of Twitter/X users by integrating Twitter/X with Google Scholar. The model automatically defines users' credibility labels using Google Scholar. Machine learning feature selection methods also select features that affect the credibility of Twitter/X users based on the topic. This study uses Google Scholar and the BerTopic algorithm for effective topic modeling on Twitter/X. The model considers unrelated data management, dynamic user credibility, and organizing activities based on the Big Data lifecycle. Finally, using Linear Regression, Support Vector Regression, K-Nearest Neighbor, Random Forest, Classification and Regression Trees algorithms, the model predicts the credibility of Twitter/X users and proves that it performed better than similar models through Classification and Regression Trees. In addition, the model is generalizable for all organizational purposes due to the integration of heterogeneous resources and feature selection methods.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232140","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 ‘Interplay of agenda setters in the digital age: The associative issue network between news organizations and political YouTube channels’ [Computers in Human Behavior 155 (2024) 108169] 数字时代议程设置者的相互作用：新闻机构与 YouTube 政治频道之间的关联性议题网络》[《计算机在人类行为中的应用》155 (2024) 108169] 更正

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-08-31 DOI: 10.1016/j.chb.2024.108425

引用次数: 0