Computers in Human Behavior最新文献_第6页

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

Sogand Dehghan , Rojiar Pir Mohammadiani , Shahriar Mohammadi

{"title":"The credibility assessment of Twitter/X users based organization objectives by heterogeneous resources in big data life cycle","authors":"Sogand Dehghan , Rojiar Pir Mohammadiani , Shahriar Mohammadi","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":"162 ","pages":"Article 108428"},"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

Bumsoo Kim , Han Lin , Yonghwan Kim

引用次数: 0

“I feel AI is neither too good nor too bad”: Unveiling Chinese EFL teachers’ perceived emotions in generative AI-Mediated L2 classes "我觉得人工智能不好也不坏"：揭示中国 EFL 教师在人工智能生成式 L2 课堂中的感知情绪

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-08-31 DOI: 10.1016/j.chb.2024.108429

Yumin Shen , Hongyu Guo

{"title":"“I feel AI is neither too good nor too bad”: Unveiling Chinese EFL teachers’ perceived emotions in generative AI-Mediated L2 classes","authors":"Yumin Shen , Hongyu Guo","doi":"10.1016/j.chb.2024.108429","DOIUrl":"10.1016/j.chb.2024.108429","url":null,"abstract":"<div><p>Despite the recent growth in the integration of artificial intelligence (AI) into second/foreign language (L2) education, its emotional side has been ignored, to date. In order to address this gap, the present qualitative study aimed to explore the typology of emotions that Chinese English as a foreign language (EFL) teachers had experienced in their AI-based L2 classes. Drawing on the technology acceptance model (TAM) and control value theory (CVT), a sample of 50 EFL teachers were interviewed individually. The results of thematic analysis showed that Chinese EFL teachers, in this study, had experienced a variety of positive and negative emotions due to AI technologies. The most frequently experienced positive emotions were ‘enjoyment’, ‘excitement’, ‘motivation’, and ‘satisfaction’. Conversely, the participants had most repeatedly experienced negative emotions of ‘anxiety’, ‘stress’, ‘worry’, and ‘frustration’ in their AI-based classes. The findings are discussed in light of prior research and suggestions and implications are presented to EFL teachers and educators.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"161 ","pages":"Article 108429"},"PeriodicalIF":9.0,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142136391","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 ‘Social viewing of news and political participation: The mediating roles of information acquisition, self-expression, and partisan identity’ [Computers in Human Behavior 154 (2024) 108158] 社会新闻观看与政治参与：信息获取、自我表达和党派身份的中介作用" [Computers in Human Behavior 154 (2024) 108158] 更正

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-08-31 DOI: 10.1016/j.chb.2024.108426

Yi Wang , Yonghwan Kim , Han Lin

引用次数: 0

Privacy concerns in mobile technology: Can interactivity reduce friction? 移动技术中的隐私问题：互动能否减少摩擦？

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-08-30 DOI: 10.1016/j.chb.2024.108421

Yongnam Jung , Jiaqi Agnes Bao , Megan Pietruszewski Norman , S. Shyam Sundar

引用次数: 0

Distinguishing social virtual reality: Comparing communication channels across perceived social affordances, privacy, and trust 区分社交虚拟现实：比较不同社交功能、隐私和信任的通信渠道

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-08-29 DOI: 10.1016/j.chb.2024.108427

James J. Cummings, Alexis Shore Ingber

{"title":"Distinguishing social virtual reality: Comparing communication channels across perceived social affordances, privacy, and trust","authors":"James J. Cummings, Alexis Shore Ingber","doi":"10.1016/j.chb.2024.108427","DOIUrl":"10.1016/j.chb.2024.108427","url":null,"abstract":"<div><p>Social virtual reality (SVR) attempts to allow for connections akin to face-to-face communication (Ftf). Yet, it is unclear whether the technology successfully mimics Ftf or more closely resembles other mediated communication channels. This study empirically compares SVR and other communication channels in terms of perceived social affordances, privacy, and trust through a between-subjects online survey (<em>n</em> = 743). Findings indicate that SVR and Ftf are similar regarding some perceived affordances (e.g., personalization) but differ with respect to others (e.g., anonymity, presence). Additionally, SVR is perceived as significantly distinct from one or multiple mediated channels for almost every measured social affordance. While SVR is seen as offering relatively greater levels of affordances that benefit interpersonal interaction, privacy concerns and a lack of trust in other users were found to often characterize the current user experience. This study provides theoretical insights for affordance research and practical implications for SVR designers.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"161 ","pages":"Article 108427"},"PeriodicalIF":9.0,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0747563224002954/pdfft?md5=1ba419cc34f5fb82b9e1253ddce012eb&pid=1-s2.0-S0747563224002954-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142117579","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

“It’s a terrible choice to make but also a necessary one”: Exploring player experiences with moral decision making mechanics in video games "这是一个可怕的选择，但也是一个必要的选择"：探索玩家对电子游戏中道德决策机制的体验

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-08-28 DOI: 10.1016/j.chb.2024.108424

Sophie Wright , Alena Denisova

{"title":"“It’s a terrible choice to make but also a necessary one”: Exploring player experiences with moral decision making mechanics in video games","authors":"Sophie Wright , Alena Denisova","doi":"10.1016/j.chb.2024.108424","DOIUrl":"10.1016/j.chb.2024.108424","url":null,"abstract":"<div><p>Video games offer a unique platform for players to engage interactively with morally challenging topics and dilemmas. Despite the growing popularity of games that offer such content, there is a paucity of research on the player experiences and the specific game mechanics that facilitate moral decision making. To address this gap, this research identifies key game mechanics that support moral decision making through a comprehensive review of related literature and qualitative survey responses from players (n <span><math><mo>=</mo></math></span> 30). The effects of these mechanics on players’ decision making processes and their overall impact on player experience were further explored through semi-structured, video-elicitation interviews (n <span><math><mo>=</mo></math></span> 11). This research develops a theoretical framework based on the findings from these two exploratory studies, culminating in a set of design guidelines to inform the future development of moral decision making games.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"161 ","pages":"Article 108424"},"PeriodicalIF":9.0,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0747563224002929/pdfft?md5=c8194fcca07b64cd19b243f8c43aa3ef&pid=1-s2.0-S0747563224002929-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142097216","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

Investigating the usefulness of artificial intelligence-driven robots in developing empathy for English for medical purposes communication: The role-play of Asian and African students 研究人工智能驱动的机器人在培养医疗英语交流移情能力方面的作用：亚洲和非洲学生的角色扮演

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-08-28 DOI: 10.1016/j.chb.2024.108416

Ali Derakhshan , Timothy Teo , Saeed Khazaie

{"title":"Investigating the usefulness of artificial intelligence-driven robots in developing empathy for English for medical purposes communication: The role-play of Asian and African students","authors":"Ali Derakhshan , Timothy Teo , Saeed Khazaie","doi":"10.1016/j.chb.2024.108416","DOIUrl":"10.1016/j.chb.2024.108416","url":null,"abstract":"<div><p>Studies have shown that integrating Artificial Intelligence into robot-assisted language learning ushers in an immersive situation to establish empathy for communication competence and enjoyment. To investigate the usefulness of Artificial Intelligence-driven robots in learning English for Medical Purposes oral skills, this quasi-experimental study was conducted through an embedded mixed methods design in the 2024 academic year. One thousand and forty male (n = 398) and female (n = 642) students of different academic disciplines from <em>the Isfahan University of Medical Sciences</em> were included in the study and grouped under three categories. They were randomly assigned to control (n = 520) and experimental (n = 520) groups. In the qualitative phase, students’ communication enjoyment was debriefed through semi-structured interviews. Simultaneously, in the quantitative phase, once the participants watched simulcast lectures and joined in conversation with Artificial Intelligence-driven (non)-robots, their academic and professional oral skills were assessed. The collected data were the participants’ responses to the interviews and formative assessment of their progress and performance through Objective Structured Video Examinations and Mini-Clinical Evaluation Exercises. The interview results suggested that the participants had empathy in joining conversations with robots. The statistical analysis indicated that in performing role-play to teach oral skills to the Artificial Intelligence-driven robot, the participants achieved significantly greater communication competence than those who did role-play for virtual agents. Students of Medicine were great academic and professional achievers as they were significantly successful in establishing empathy and communication. The findings could open up further prospects for using Artificial Intelligence-driven robots in discipline-specific language learning contexts.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108416"},"PeriodicalIF":9.0,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142240549","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

Unleashing pre-service language teachers’ productivity with generative AI: Emotions, appraisal and coping strategies 利用生成式人工智能释放职前语文教师的生产力：情感、评价和应对策略

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-08-25 DOI: 10.1016/j.chb.2024.108417

Hongbiao Yin , Chan Wang , Zhijun Liu

{"title":"Unleashing pre-service language teachers’ productivity with generative AI: Emotions, appraisal and coping strategies","authors":"Hongbiao Yin , Chan Wang , Zhijun Liu","doi":"10.1016/j.chb.2024.108417","DOIUrl":"10.1016/j.chb.2024.108417","url":null,"abstract":"<div><p>The potential of Generative Artificial Intelligence (AI) in language education has been widely recognized. However, there has been limited attention given to the emotional experiences of language teachers using AI and its relationship with AI-enabled productivity. By investigating 1,683 pre-service language teachers’ experiences of using generative AI in their teaching practicum or learning, this study explored how teachers’ emotional responses to AI use in teaching and learning are related to their AI-enabled productivity through the mediation of appraisal and coping. We uncovered several key findings: (1) achievement, challenge, and loss emotions were directly and/or indirectly related to AI-enabled productivity, while deterrence emotions were not; (2) achievement and challenge emotions were positively correlated with challenge appraisal and negatively correlated with hindrance appraisal, whereas loss and deterrence emotions showed the opposite pattern of correlation; (3) challenge emotions were positively related to approach-oriented coping, while loss and deterrence emotions were positively associated with avoidance-oriented coping; (4) among the coping strategies, only positive reinterpretation was positively associated with AI-enabled productivity; and (5) challenge appraisal and positive reinterpretation were significant mediators in the relationships between emotions and AI-enabled productivity, either separately or sequentially. These findings provide valuable insights for future research and practice, aiming to support the application of generative <span>AI</span> in the context of language education.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"161 ","pages":"Article 108417"},"PeriodicalIF":9.0,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142097129","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

Investigation of bi-directional relations between pre-sleep electronic media use and sleep: A seven-day dairy study 睡前使用电子媒体与睡眠之间的双向关系调查：一项为期七天的乳制品研究

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-08-24 DOI: 10.1016/j.chb.2024.108423

Yun Li , Qingwei Chen , Meiheng He , Siyu Li , Yuping Chen , Taotao Ru , Guofu Zhou

{"title":"Investigation of bi-directional relations between pre-sleep electronic media use and sleep: A seven-day dairy study","authors":"Yun Li , Qingwei Chen , Meiheng He , Siyu Li , Yuping Chen , Taotao Ru , Guofu Zhou","doi":"10.1016/j.chb.2024.108423","DOIUrl":"10.1016/j.chb.2024.108423","url":null,"abstract":"<div><p>The current study aimed to examine the bi-directional relationships between pre-sleep electronic media use and sleep, and to assess the relative predictive strength of different types of electronic media use in the evening on subsequent sleep. Eighty-eight young adults (20.57 ± 0.99, 27 males) completed an online intake survey and received notifications to complete daily diaries for seven consecutive days. Results of dynamic structural equation models (DSEM) revealed that the total screen time, sleep onset time, sleep latency, sleep duration, and sleep quality showed significant positive autoregressive parameters. In contrast, the results revealed no statistically significant cross-lagged associations between the total screen time in the evening and sleep outcomes. Inspection of the predictive strength of various types of screen activities at the within-person level revealed that increased active social media use is linked to delayed sleep onset, while internet browsing is associated with shorter sleep latency. At the between-person level, screen time of T.V. watching, video streaming, social media use, and shopping correlated with delayed sleep onset. Shopping was also connected to longer sleep latency. Additionally, more time spent on T.V., video streaming, non-work internet browsing, and shopping was linked to reduced total sleep duration. These findings indicated a screen activity-dependent association between pre-sleep screen time and subsequent sleep. More objective assessments of electronic media use (e.g., app recording screen time) and sleep (e.g., actigraphy) and longitudinal monitoring over a relatively long period (i.e., several weeks or months) are warred to further elucidate (cross-lagged) relationships between electronic media use and sleep.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"161 ","pages":"Article 108423"},"PeriodicalIF":9.0,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142136392","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