Computers in human behavior reports最新文献

{"title":"Factors driving Gen Z's news engagement on TikTok: A hybrid analysis through CB-SEM and PLS-SEM","authors":"Ta Thi Nguyet Trang ,&nbsp;Pham Chien Thang ,&nbsp;Giang Thi Truong Nguyen ,&nbsp;Hien Thi Minh Nguyen","doi":"10.1016/j.chbr.2025.100645","DOIUrl":"10.1016/j.chbr.2025.100645","url":null,"abstract":"<div><div>This study explores the underlying factors that drive Generation Z's news consumption on TikTok in Vietnam, an emerging market with a vibrant digital landscape. By integrating the Technology Acceptance Model (TAM), Innovation Diffusion Theory (IDT), and Uses and Gratifications Theory (UGT), this study addresses how perceived usefulness, ease of use, compatibility, and motivation jointly shape Gen Z's behavioral intentions and actual usage of TikTok for news. A survey of 859 Vietnamese respondents aged 16–27 demonstrated that motivations and intention to use TikTok are key drivers of actual usage, whereas perceived usefulness, ease of use, and compatibility positively influence intentions but do not directly predict usage behavior. These findings highlight that Gen Z's news engagement with TikTok arises from a blend of utilitarian perceptions, lifestyle alignment, and intrinsic motivations for entertainment and convenience. This study adds to the existing literature by focusing on Vietnam, a country with high digital penetration and a rapidly evolving media ecosystem, and provides practical insights for news organizations and educators. The results underscore the importance of aligning news content with Gen Z's mobile-first habits and the blurred lines between entertainment and reliable information in the short-form video era.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"18 ","pages":"Article 100645"},"PeriodicalIF":4.9,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What drives new knowledge in human cybersecurity behavior? Insights from bibliometrics and thematic review","authors":"Dragoș M. Obreja ,&nbsp;Răzvan Rughiniș ,&nbsp;Dinu Țurcanu","doi":"10.1016/j.chbr.2025.100650","DOIUrl":"10.1016/j.chbr.2025.100650","url":null,"abstract":"<div><div>Human cybersecurity behavior is an intensely debated topic among researchers and practitioners; however, most approaches highlight forms of hegemonic knowledge centered on Eurocentric paradigms. This research delineates and analyzes the main trends in the spectrum of human cybersecurity relations through a bibliometric analysis of relevant Web of Science publications from 2000 to 2024 (<em>N</em> = 910) and a subsequent thematic review. Our time-zone analysis shows a gradual transition of this knowledge field from hard manifestations of power (such as computer crime or cyberterrorism) to softer and “exotic” forms of power (such as the metaverse, innovation, persuasion, or cryptocurrency). In addition, utilizing the Foucauldian power/knowledge framework within the cybersecurity spectrum, we identify the emergence of alternative forms of counter-knowledge that have been poorly debated in the literature: <em>Global South knowledge</em> highlights the cybersecurity discourses and practices that emerge from the Eurocentric contexts and also presents cybersecurity challenges from underrepresented cultural spaces. While <em>ethically-oriented knowledge</em> highlights alternative forms of cyberbehavior, such as ethical hacking, <em>ideologically-oriented knowledge</em> highlights social categories that are disproportionately disadvantaged in cyberspace, such as women, sexual, racial minorities, or other structural victims debated within a decolonialist framework.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"18 ","pages":"Article 100650"},"PeriodicalIF":4.9,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Productivity and learning effects of augmented reality head-mounted displays","authors":"Özgür Gürerk ,&nbsp;Thomas Bohné ,&nbsp;Guillermo Alvarez Alonso","doi":"10.1016/j.chbr.2025.100638","DOIUrl":"10.1016/j.chbr.2025.100638","url":null,"abstract":"<div><div>Augmented reality (AR) applications promise to substantially amplify human capabilities in a variety of industrial work contexts. However, there is a lack of repeated-measures studies on productivity effects of AR HMDs on humans doing real tasks in realistic industrial settings. Moreover, productivity is mostly measured as time to completion, but other important measures, such as quality and usability, are often not considered over time. To address this research gap, we carried out a repeated experiment with participants using AR HMDs for a real industrial repair task. We find that even though there are no immediate task efficiency gains, the use of AR HMDs results in significantly faster repairs over time. The use of AR HMDs also has an immediate and positive effect on work quality. However, this effect diminishes as participants gain more experience. Finally, we find that usability and comfort were no significant problems for the subjects in our experiment.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"18 ","pages":"Article 100638"},"PeriodicalIF":4.9,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impacts of generative artificial intelligence on the future of labor market: A systematic review","authors":"Nader Salari ,&nbsp;Mahan Beiromvand ,&nbsp;Amin Hosseinian-Far ,&nbsp;Javad Habibi ,&nbsp;Fateme Babajani ,&nbsp;Masoud Mohammadi","doi":"10.1016/j.chbr.2025.100652","DOIUrl":"10.1016/j.chbr.2025.100652","url":null,"abstract":"<div><h3>Background</h3><div>Generative AI (GenAI) has the ability to autonomously collect and process data to generate contents, inform decisions, solve problems, and perform tasks that typically require human reasoning. This Systematic Review is conducted to examine the impacts of GenAI on the future of employment, focusing on concerns about rising unemployment, and the positive and negative perspectives outlined within exiting studies. The findings from this review can help identify research gaps, guide organizational planning, and improve AI governance frameworks and policies.</div></div><div><h3>Methods</h3><div>To identify relevant studies, the PubMed, Scopus, Web of Science, Embase, ScienceDirect and Google Scholar databases and repositories were systematically searched using the keywords: ‘Future of work’, ‘Job market’, ‘Generative AI’, ‘Generative AI’, and ‘ChatGPT’. Additionally, the reference lists of the identified related articles were reviewed for grey literature.</div></div><div><h3>Results</h3><div>Following the PRISMA guidelines, a total of 14 articles were selected for analysis. Selected studies have examined the positive and negative viewpoints on GenAI, together with pertinent challenges and opportunities. Accordingly, GenAI, when compliant with security and ethical issues, has the potential to increase efficiency whilst reducing costs and time.</div></div><div><h3>Conclusion</h3><div>Considering the rapid growth and adoption of AI technologies, examining the impacts of GenAI on the future of labor market is crucial. GenAI is likely to create new roles in some sectors yet reduce opportunities in others. A nuanced assessment of the impacts, and ongoing monitoring are vital for effective preparation and adaptation to the evolving work landscape in the presence of advanced AI technologies.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"18 ","pages":"Article 100652"},"PeriodicalIF":4.9,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Calls to action and user engagement: The role of visual and verbal requests in nonprofit advocacy on Facebook","authors":"Fabienne Bünzli,&nbsp;Martin J. Eppler","doi":"10.1016/j.chbr.2025.100611","DOIUrl":"10.1016/j.chbr.2025.100611","url":null,"abstract":"<div><div>A common strategy to boost user engagement on social media is to incorporate requests into posts. While previous research has focused on the effects of direct verbal requests (i.e., commands), the role of subtler, indirect verbal and visual requests remains underexplored. We address this gap through a quantitative content analysis of 2250 Facebook posts from the 100 largest U.S. nonprofit organizations. Using a social semiotics lens, we argue that both verbal and visual modes can convey requests, although each relies on distinct semiotic resources. The influence of requests on user engagement may thus be shaped by general semiotic principles applicable to both modes as well as modality-specific principles. In line with our assumptions, users prefer posts that clearly reveal a charity's persuasive intent through verbal and visual requests (general principle of clarity). Moreover, posts fostering clarity by exclusively featuring either direct or indirect verbal requests are associated with greater user engagement compared to those combining both types. However, users are more responsive to indirect than direct verbal requests (verbal principle of nuance) and tend to be distracted from the verbal text when posts include a direct gaze image (visual principle of captivation).</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"18 ","pages":"Article 100611"},"PeriodicalIF":4.9,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143619671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Teachers’ awareness and emotional response to cyberbullying: Exploring emotional regulation strategies in the classroom","authors":"Paula da Costa Ferreira ,&nbsp;Nádia Pereira ,&nbsp;Carlos Martinho ,&nbsp;Hugo Marques ,&nbsp;Hélio Martins ,&nbsp;Alexandra Marques Pinto ,&nbsp;Alexandra Barros ,&nbsp;Aristides Ferreira ,&nbsp;Mafalda Gomes ,&nbsp;Ana Margarida Veiga Simão","doi":"10.1016/j.chbr.2025.100647","DOIUrl":"10.1016/j.chbr.2025.100647","url":null,"abstract":"<div><div>Cyberbullying is a major and pressing issue in schools, reducing students' well-being and placing emotional burden on teachers. Despite increased attention to students' experiences, there is limited research on teachers' knowledge, emotional responses, and emotion regulation when witnessing student cyberbullying. Thus, this study explores teachers' knowledge, emotional responses, and emotion regulation strategies to respond to cyberbullying, and the impact of an innovative game-based platform on their emotion regulation abilities. Employing an integrated emotions and emotion regulation appraisal model, the mixed-methods study employed a sequential explanatory design. 543 teachers and 533 students were surveyed to examine a substantial difference between teachers' self-reports and students' self-reports of cyberbullying, with students reporting more instances. 63 teachers provided qualitative interviews with information on how they responded emotionally, which were predominantly negative in valence—concern, surprise, and frustration—and led to the prevalent use of response modulation strategies. Quasi-experimental, longitudinal research conducted among 64 teachers analyzed whether a serious game-based intervention can be effective. Emotion regulation was still a concern, however, pre-post-tests indicated that the platform supported increased use of cognitive reappraisal and coping responses for responding to cyberbullying. These findings are supportive of the need for training interventions to specifically target strengthening teachers' socio-emotional abilities, potentially contributing to early intervention and healthy school climate development. Schools can use technology-supported interventions to prompt teachers of their socio-emotional abilities and hence manage cyberbullying effectively. Future studies should use larger samples and longer longitudinal designs to adequately address and assess teachers’ emotion regulation approaches across time.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"18 ","pages":"Article 100647"},"PeriodicalIF":4.9,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does protection motivation predict self-protective online behaviour? Comparing self-reported and actual online behaviour using a population-based survey experiment","authors":"M.S. van ’t Hoff-de Goede ,&nbsp;E.R. Leukfeldt ,&nbsp;S.G.A. van de Weijer ,&nbsp;R. van der Kleij","doi":"10.1016/j.chbr.2025.100649","DOIUrl":"10.1016/j.chbr.2025.100649","url":null,"abstract":"<div><div>Protection Motivation Theory (PMT) proposes that protection motivation is positively related to self-protective online behaviour. This notion has been supported by empirical studies, but these have so far almost exclusively used self-reported data on behaviour. However, how people say they behave online does not always correspond with how they actually behave online. The current study explores the relationship between PMT factors and actual online behaviour compared to self-reported online behaviour, using unique data from a population-based survey experiment (N = 2419). Results indicate that actual online behaviour differs to a large extend from self-reported online behaviour and implications are discussed for PMT and future studies aiming to explain the safety of online behaviour.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"18 ","pages":"Article 100649"},"PeriodicalIF":4.9,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the influence of augmented reality marketing application on consumer purchase intentions: A study in the E-commerce sector","authors":"Thi Thuy An Ngo ,&nbsp;Thanh Tu Tran ,&nbsp;Gia Khuong An ,&nbsp;Phuong Thy Nguyen","doi":"10.1016/j.chbr.2025.100648","DOIUrl":"10.1016/j.chbr.2025.100648","url":null,"abstract":"<div><div>The rapid digitalization of e-commerce demands innovative solutions to enhance consumer engagement and address the sensory limitations of online shopping. Augmented Reality (AR) technology offers potential remedies by integrating virtual elements into real-world environments, enriching user experiences with interactive and immersive features. This study explores the impact of AR marketing applications on consumer purchase intentions in the e-commerce sector. Using a quantitative approach, data were collected from 315 participants with experience using AR in e-commerce contexts through a 5-point Likert scale questionnaire. The study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) technique to analyze the relationships between AR characteristics (interactivity, vividness, novelty, and informativeness), consumer perceptions (perceived enjoyment, usefulness, and hedonic value), and outcomes (satisfaction, attitude, and purchase intentions). The findings indicate that AR features significantly influence consumer perceptions and experiences, with vividness and informativeness emerging as particularly impactful factors. Interestingly, while interactivity enhanced user engagement, it showed no significant impact on perceived usefulness. The study also revealed that perceived enjoyment and hedonic value significantly influenced consumer satisfaction and attitudes towards AR-enhanced e-commerce platforms, whereas the relationship between perceived usefulness and satisfaction was not supported. The results also confirmed the positive relationship of satisfaction and attitude on behavior intention. These findings provide valuable insights for e-commerce businesses and AR developers, highlighting the need to balance utility with engaging experiences in AR application design. The research contributes to the understanding of AR's efficacy as a marketing tool in e-commerce for future research in this rapidly evolving field.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"18 ","pages":"Article 100648"},"PeriodicalIF":4.9,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Duty of care, data science, and gambling harm: A scoping review of risk assessment models","authors":"Virve Marionneau ,&nbsp;Kim Ristolainen ,&nbsp;Tomi Roukka","doi":"10.1016/j.chbr.2025.100644","DOIUrl":"10.1016/j.chbr.2025.100644","url":null,"abstract":"<div><h3>Aims</h3><div>Duty of care policies mandate gambling operators to identify problematic gambling behaviours amongst their customers. Online operators often employ risk detection algorithms to accomplish this task. This scoping review focuses on how such data science applications can perform from a duty of care perspective.</div></div><div><h3>Methods</h3><div>In line with the PRISMA guidelines for scoping reviews, we systematically retrieved academic studies, reports, and industry initiatives that used statistical methodologies to predict, model, or forecast gambling behaviour. The final sample consists of 31 academic studies published between 2015 and 2025, and 11 commercial solutions. Our analysis focuses on three critical stages of model development: 1) selection of estimation data; 2) decisions related to the model estimation process; and 3) assessment and interpretation of prediction model results.</div></div><div><h3>Results</h3><div>Models vary in terms of predictors, dependent variables, methodological approaches and assessment. Most models attempt to identify harm that has already occurred rather than forecasting future harm. Data are typically aggregated despite higher granularity in original datasets. Measures to assess the prediction ability of models are not optimal. Industry funding or involvement is prevalent in model development.</div></div><div><h3>Conclusions</h3><div>Currently, risk assessment algorithms do not function pre-emptively and are unlikely to capture the full extent of harm occurring in digital gambling. As such, their usability within the duty of care framework remains limited. Ways forward would entail openness and standardisation in terms of choice of variables, forecasting horizons, assessment of methods, and evaluation of results to improve models and regulatory oversight.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"18 ","pages":"Article 100644"},"PeriodicalIF":4.9,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empowering creativity and engagement: The impact of generative artificial intelligence usage on Chines EFL students' language learning experience","authors":"Abdul Khalique Khoso ,&nbsp;Wang Honggang ,&nbsp;Mansoor Ali Darazi","doi":"10.1016/j.chbr.2025.100627","DOIUrl":"10.1016/j.chbr.2025.100627","url":null,"abstract":"<div><div>Present study examines the impact of Generative Artificial Intelligence (GAI) like Use of ChatGPT on Language Learning Engagement and EFL Students Creativity among Chinese EFL students at the tertiary level in China. Present study aims to investigates the direct effects of Use of ChatGPT on Language Learning Engagement, impact of engagement on EFL students' creativity and the mediating role of engagement between Use of ChatGPT and EFL student ‘creativity thereby, the moderating effect of creative self-efficacy on Language learning engagement and EFL students’ creativity is also investigated. Present study uses quantitative empirical research design and the data were collected from n = 370 EFL students at Yangzhou University of China through a structured survey. Moreover, the analysis for present study was conducted using SPSS and PLS-SEM. The Findings reveal that ChatGPT use positively influences language engagement, enhancing creativity. Language Learning Engagement mediates the relationship between Use of ChatGPT and EFL student’s creativity, while creative self-efficacy significantly moderates the engagement and creativity. These results align with existing research, underscoring the importance of engagement in driving creativity and highlighting the role of self-efficacy in amplifying this effect. The study’s implications suggest that integrating Use of ChatGPT into EFL education can foster both engagement and creative outcomes, providing valuable insights for educators and policy-makers aiming to enhance language learning experiences. Future research could explore additional factors influencing the AI-engagement-creativity dynamic.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"18 ","pages":"Article 100627"},"PeriodicalIF":4.9,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}