Human Behavior and Emerging Technologies最新文献

{"title":"Shared Minds: The Cognitive Parallels Between Humans and Artificial Intelligence","authors":"Sébastien Tremblay,&nbsp;Alexandre Marois,&nbsp;Marzieh Zare,&nbsp;Daniel Lafond","doi":"10.1155/hbe2/9946143","DOIUrl":"https://doi.org/10.1155/hbe2/9946143","url":null,"abstract":"<p>This narrative review integrates evidence from cognitive science and AI research to challenge commonly accepted dichotomies between human and artificial cognition, such as the assumed divide between genuine human understanding and mere machine pattern matching. Instead, we propose a view that recognises similarities in their cognitive architectures and processes. Human and artificial cognition seem to operate through comparable mechanisms, as both rely on statistical processing, associative pattern recognition and approximation rather than perfect logic. Through a systematic comparison of core cognitive domains across 363 articles, we highlight parallels in capabilities and limitations, including shared vulnerabilities to biases, memory distortions and decision-making opacity. We critically examine popular narratives such as the <i>stochastic parrot</i> argument and the myth of human rationality. These positions often rely on idealised views of human cognition that are contradicted by cognitive and neuroscientific evidence. This review calibrates expectations of both human and artificial systems by moving beyond both AI alarmism and human exceptionalism towards a more empirically grounded perspective on cognition. Our comparative review acknowledges both the shared statistical foundations of intelligence and differences in embodiment, intentionality and phenomenological aspects of cognition. This perspective has implications for human–AI collaboration, cognitive performance benchmarking and research on AI transparency.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/9946143","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653196","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":"Distracted, Interrupted, or Disrupted: A Pathway Model of Technoference","authors":"Cara S. Swit,&nbsp;Sarah M. Coyne,&nbsp;Hailey Holmgren","doi":"10.1155/hbe2/2671429","DOIUrl":"https://doi.org/10.1155/hbe2/2671429","url":null,"abstract":"<p>Responsive parent–child interactions fundamentally influence children’s development and socialization. However, smartphones and other digital devices have increasingly interfered in these interactions, leading to a growing interest in technoference—technology-based interruptions in interpersonal interactions. While researchers often use the terms distraction, interruption, and disruption synonymously, the conceptual distinction between these forms of interference remains underexplored. Drawing from developmental psychology and various theoretical frameworks relevant to interruptions, we discuss how the types of interference and the responses of parents and children together shape both immediate interaction quality and long-term relationship outcomes. In this review, we introduce the Technoference Pathway Model, a new theoretical framework that differentiates three types of technoference, outlines their unique characteristics, and examines their potential impacts and outcomes on parents, children, and the parent–child relationship. We highlight measurement challenges inherent in the existing literature and propose a framework for distinguishing these terms in technoference research and other research fields examining interruptions in contemporary family life. We conclude by outlining implications, future research directions, and recommendations for advancing the field.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/2671429","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653292","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":"Exploring Generation Zers′ Acceptance of Service Robots for Mental Health and Well Being in Indonesia: A Qualitative Study","authors":"Santoso Wibowo,&nbsp;Rongbin Yang,&nbsp;Sameera Mubarak,&nbsp;Niken Dwi Wahyu Cahyani,&nbsp;Nurul Hidayah Binti Ab Rahman","doi":"10.1155/hbe2/8010425","DOIUrl":"https://doi.org/10.1155/hbe2/8010425","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>The main purpose of this study is to investigate the critical factors influencing Generation Zers′ acceptance of service robots for mental health and well-being application. This leads to the development of a conceptual framework within the theoretical background of the theory of personality traits and health belief model.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design/Methodology/Approach</h3>\u0000 \u0000 <p>This study adopted a qualitative approach via semistructured interviews to address the research question. It was conducted in West Java, Indonesia, involving 25 participants. There were 11 women and 14 men among the participants, and the participants were 21 years old on average. Social media sites like Facebook and LinkedIn were used to recruit these participants.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>The results show that robot design, personality traits, and user perception have some influence on Generation Zers′ use of service robots for mental and health well-being. Generation Zers are willing to use service robots if the service robots are user-friendly and cheap to operate for efficiently providing the necessary information. They highlighted the importance of service robots′ features and capabilities in understanding, interpreting, and responding to their needs. This study also reveals that individuals who have these personality traits such as agreeable and open to new experiences are likely to use service robots for mental and health well-being. In terms of health-related behavior, Generation Zers′ use of service robots is dependent on the severity of their health condition. From the theoretical side, this study provides a validated research model for exploring the Generation Zers′ acceptance of service robots for mental health and well-being. Practically, this study provides useful insights for enhancing user engagement, reducing barriers to care, and fostering trust in automated mental health solutions. Moreover, the findings may contribute to shaping best practices, policy frameworks, and ethical standards for the integration of service robots into mental health delivery systems.</p>\u0000 </section>\u0000 </div>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/8010425","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665872","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":"Using Artificial Intelligence in Nursing Education From the Eyes of Nursing Academics: An Online Cross-Sectional Study","authors":"Majd T. Mrayyan,&nbsp;Ahmad K. Alomari","doi":"10.1155/hbe2/9885653","DOIUrl":"https://doi.org/10.1155/hbe2/9885653","url":null,"abstract":"&lt;p&gt;In the realm of higher education, artificial intelligence (AI) has dramatically transformed numerous industries. It is vital to grasp the perspectives of nursing academics, as their insights significantly influence the integration of AI within educational frameworks, including nursing education. The incorporation of AI into nursing curricula remains a nascent endeavor, presenting both obstacles and promising avenues for those pioneering this innovative domain. This study described nursing academics′ views on using AI in nursing education in terms of their knowledge, attitudes and beliefs, emotional responses, perceived impact of AI in various fields, usefulness, advantages, and disadvantages. A quantitative research design was implemented utilizing an electronic survey using a cross-sectional study with a convenience sample of 328 nursing academics recruited from different governmental and private universities. Nursing academics positively perceive the integration of AI in nursing education (M = 3.34; SE = 0.062; 95% CI [3.21–3.46]). Most nursing academics feel quite knowledgeable about AI-integrated education, as reflected by the median score of 6.00/10.00, and they reported that the internet and social media were their primary sources of knowledge. In relation to knowledge, around 42% of nursing academics used AI tools while teaching students, namely, ChatGPT. Nursing academics generally hold favorable attitudes and beliefs about incorporating AI into nursing education (M = 3.35; SE = 0.043). However, they believed that machinery using AI is very expensive and resource-intensive to build and maintain (M = 3.64; SE = 0.048), and AI may lead to losing jobs (M = 3.62; SE = 0.054). Caused by AI, most nursing academics had a feeling of curiosity and fear. The top disciplines benefiting from AI were education and medicine, thus considered a useful application in nursing education, as reflected with a median score of 7.00/10.00. Although AI was advantageous for teaching, learning, and evaluation processes, it came with a lack of a therapeutic relationship between students and teachers, as well as internet addiction. Comprehending the viewpoints of academics could enable educational institutions to incorporate AI into educational frameworks seamlessly; addressing the concerns of nursing academics while optimizing their learning experiences is an essential step in integrating AI into nursing education. While the topic is complex and warrants further study to enhance the learning experiences of nursing academics, the findings offer valuable insights for educators and higher education administrators. By understanding these perspectives, educational institutions could make informed decisions to leverage the benefits of AI while addressing its challenges, ensuring the successful implementation of AI technologies in nursing education. Additional research in this field could build upon the insights gleaned from the present study, further enhancing such AI ","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/9885653","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653175","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":"The Posthuman Executive: AI-Driven Leadership and Automation in Thailand′s Industry 4.0","authors":"Sid Terason,&nbsp;Chaithanaskorn Phawitpiriyakliti","doi":"10.1155/hbe2/1888445","DOIUrl":"https://doi.org/10.1155/hbe2/1888445","url":null,"abstract":"<p>This study investigates how industrial executives in Thailand′s manufacturing sector navigate artificial intelligence integration into leadership practices. As AI systems increasingly participate in organizational decision-making, questions arise about how leaders experience shared authority with algorithmic agents and how cultural context shapes that experience. Drawing on semi-structured interviews with 25 senior executives from medium- to large-scale manufacturing firms, this study employed thematic analysis within a constructivist paradigm to explore perceptions, strategies, and ethical considerations surrounding AI adoption. Four themes emerged: technological augmentation of human labor, transformed executive roles in AI-mediated decision-making, ethical and workforce challenges, and uneven readiness for technological transformation. The findings reveal a fundamental paradox: executives increasingly depend on AI for operational decisions while simultaneously resisting delegation of authority to machines. This tension reflects Thai cultural values including bun khun (reciprocal obligation) and kreng jai (reluctance to impose or cause discomfort). We propose pragmatic posthumanism as a concept capturing this liminal condition—where leaders functionally share agency with AI systems yet remain institutionally and culturally positioned as sole decision-makers. The hybrid-intelligence leadership framework emerges from these findings, integrating cognitive integration, ethical governance, and workforce adaptation as culturally embedded domains. This study contributes to leadership theory by demonstrating how AI-driven transformation unfolds differently across cultural contexts, challenges Western-centric assumptions about human-machine collaboration, and offers practical guidance for executives, policymakers, and educators navigating Industry 4.0 in Southeast Asia.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/1888445","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665889","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":"Transforming Requirement Elicitation Through Gamification—A Comprehensive Review","authors":"Zarsha Nazim,&nbsp;Atif Alvi,&nbsp;Ahmed D. Alharthi,&nbsp;Kashif Ishaq,&nbsp;Naeem A. Nawaz","doi":"10.1155/hbe2/1618680","DOIUrl":"https://doi.org/10.1155/hbe2/1618680","url":null,"abstract":"<p>Software projects go through a cycle of development, the initial phase of this cycle is proposed by collecting requirements. A successful software has high quality requirements that are complete, clear, and concise. For these requirements, effective RE strategies are required. This paper is a systematic literature review discussing the methodology of gamification as a transformational RE compared with conventional methods used previously. This study is conducted on 97 peer-reviewed literature articles published between 2012 and 2024 on topics of requirement elicitation, gamification, and stakeholder motivation. The article papers were collected from major scientific databases including IEEE Xplore, SpringerLink, ScienceDirect, and ProQuest. This review article based its findings by creating a comprehensive screening and quality assessment process. The assessment of relevant articles established in this theory was based on the objective of gamified requirement elicitation and stakeholder motivation. The findings contribute to quality synthesis of results in the form of answers to four questions. Additionally, this paper also discusses a Gamified Requirement Elicitation Model (GREM) in theory, which builds on limitations of previous findings. The paper also builds a domain taxonomy to structure the findings as an exploratory framework for expert analysis and industry integration. The review builds on gamification and also presents the considerations to fulfil when employing its use.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/1618680","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665790","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":"Do Teens Understand What They′re Agreeing to on Insta, TikTok, and X","authors":"Ignacio Muguiro,&nbsp;Mariano Méndez-Suárez,&nbsp;Enrique García-Arias","doi":"10.1155/hbe2/6741473","DOIUrl":"https://doi.org/10.1155/hbe2/6741473","url":null,"abstract":"<p>This study reveals a critical paradox in social media privacy communication: Although platforms like Meta (Instagram and Facebook), TikTok, and X have evolved their policies in an effort towards simpler, standardized disclosures, the language remains cognitively inaccessible to their core adolescent audience. Our analysis demonstrates that these disclosures, benchmarked against the developmental norms of 13–17-year-olds, are written at a university-level complexity, calling into question the validity of informed consent for minors. We use a triangulated method to assess the accessibility of platform policies for teens. Structural mapping shows consistent topic coverage, but readability indices indicate a college-level reading requirement. Lexical analysis confirms high rates of difficult words, exceeding the threshold for adolescent understanding. Our findings lead to a sobering conclusion: The prevailing model of using a single, text-based privacy policy is caught in an inherent tension between legal completeness and adolescent comprehension, making it fundamentally unworkable. This research provides evidence that calls for the need for a redesign of privacy communication for minors or a reconsideration of the current minimum age for digital consent.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/6741473","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147666277","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":"Key Factors in the Intention to Book Tourist Destinations Online","authors":"Omar Millán Delgado","doi":"10.1155/hbe2/2252353","DOIUrl":"https://doi.org/10.1155/hbe2/2252353","url":null,"abstract":"<p>Tourism has developed significantly through websites, where owners and potential users converge. This study determined the importance of reviews, ratings, scarcity, and popularity of websites and their impact on main effects and interactions on four outcome variables: attention, information, interest, and likelihood of booking. Under a 2⁴ factorial design (2<i>R</i><i>e</i><i>v</i><i>i</i><i>e</i><i>w</i><i>s</i> × 2<i>R</i><i>a</i><i>t</i><i>i</i><i>n</i><i>g</i><i>s</i> × 2<i>S</i><i>c</i><i>a</i><i>r</i><i>c</i><i>i</i><i>t</i><i>y</i> × 2<i>P</i><i>o</i><i>p</i><i>u</i><i>l</i><i>a</i><i>r</i><i>i</i><i>t</i><i>y</i>) mediated by the covariate susceptibility, it was found that a higher number of reviews, better ratings, high scarcity, and popularity are associated with higher interest, higher intention to seek information, and higher probability of booking. However, attention to the site is not affected solely by the number of reviews or third-party ratings, although the combination of high scarcity and popularity does have an influence.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/2252353","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147315546","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":"Integrative Review of Recruitment Literature: Conceptual Evolution, Technological Developments, and Scope for Future Research","authors":"Preeti Sharma,&nbsp;Mousumi Padhi","doi":"10.1155/hbe2/3210624","DOIUrl":"https://doi.org/10.1155/hbe2/3210624","url":null,"abstract":"<p>Recruitment has witnessed exponential growth both practically and academically. Its upgradation as a strategic function can be attributed to this growth. The concomitant spillover into literature and theories from other fields is also responsible for this growth. Groundbreaking technologies and their contribution to this field of human resources seem to have completely disrupted the recruitment landscape. Literature suggests that “theory and scholarship on recruitment has not kept pace with the rapidly changing landscape.” This study, therefore, tries to dive deep into recruitment literature through an integrative review method to understand its evolution over decades to become a proactive process from a reactive one. It is important in the current context when technologies like artificial intelligence and social media have taken organizations by storm. Evolution of recruitment as a subject has blurred its “contextual boundaries,” thereby elevating its scope. A framework has been suggested to summarises the review.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/3210624","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147269041","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":"Fear of Missing Out and Its Association With Problematic Smartphone Use in University Students","authors":"Estefanía Gómez-Muñoz,&nbsp;Roberto Baelo","doi":"10.1155/hbe2/8211806","DOIUrl":"https://doi.org/10.1155/hbe2/8211806","url":null,"abstract":"<p>The widespread adoption of digital technologies has profoundly reshaped interpersonal dynamics, particularly among younger generations. In this context, the fear of missing out (FOMO) has emerged as a significant psychosocial phenomenon characterised by persistent anxiety about being excluded from rewarding social experiences. Previous studies have linked FOMO with excessive smartphone use, suggesting that this emotional state may act as a predictor of digital dependence. The present study is aimed at analysing the relationship between FOMO and smartphone dependence among university students, focusing on its statistical association with problematic smartphone use. A total of 542 university students participated in the study. Data was collected through an online questionnaire that included a FOMO scale and the EDAS-18 scale for smartphone dependence. Statistical analyses included descriptive statistics, Spearman correlations, <i>k</i>-means cluster analysis, Mann–Whitney and median tests for group differences and a linear regression model to estimate the predictive power of FOMO. The findings revealed moderate levels of both FOMO and smartphone dependence within the sample. A significant positive correlation (<i>ρ</i> = 0.48, <i>p</i> &lt; 0.001) was found between FOMO and smartphone dependence. The cluster analysis identified three distinct profiles of digital engagement, with one group exhibiting particularly high levels of both variables. The regression analysis showed that FOMO was a significant statistical predictor of smartphone dependence (<i>β</i> = 0.497, <i>R</i>² = 0.247, <i>p</i> &lt; 0.001). These results support the notion that higher FOMO levels are consistently linked to more severe patterns of problematic smartphone use, in line with longitudinal and experimental evidence reported in the literature, although the present cross-sectional design does not allow causal inferences. The study underscores the importance of addressing emotional and social factors in interventions aimed at reducing digital dependence in academic settings. Findings have implications for the development of targeted prevention strategies and contribute to the growing literature on the psychological impact of hyperconnectivity among university students.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/8211806","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146256337","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}