Human Behavior and Emerging Technologies最新文献

{"title":"Navigating AI-Induced Job Displacement and Skill Demands: Insights From an Emerging Market Perspective","authors":"Bora Ly,&nbsp;Romny Ly,&nbsp;Sokhom Ma","doi":"10.1155/hbe2/3424335","DOIUrl":"https://doi.org/10.1155/hbe2/3424335","url":null,"abstract":"<p>The rapid adoption of artificial intelligence (AI) is fundamentally transforming labor markets worldwide, presenting both opportunities and challenges. This study examines the impact of AI adoption on Cambodia′s labor market, focusing on job displacement, new employment opportunities, and evolving skill requirements for workers. To explore the dynamics between AI adoption, job displacement, and changing skill demands, this study employed PLS-SEM analysis on data from 351 respondents, revealing significant workforce reshaping. However, AI has also fostered employment growth in emerging industries. Findings indicate that AI-driven job displacement disproportionately affects low-skilled workers, underscoring the need for targeted policy interventions. This study further establishes that job displacement intensifies the demand for new skills, highlighting the need for reskilling and upskilling initiatives. In addition, investments in education and training are crucial for mitigating AI-induced employment disruptions and enhancing workforce adaptability. These findings contribute to the literature by providing empirical insights from a developing economy, where unique socioeconomic and institutional factors shape the impact of AI. The results have significant implications for policymakers, educators, and business leaders as they formulate strategies to navigate the future of work in the AI era.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/3424335","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147567427","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":"Integrating Virtual Reality Into a Structural Geology Curriculum: Two Longitudinal Case Studies of Blended Immersive Learning in Practice","authors":"Cael Gallagher,&nbsp;Selen Türkay,&nbsp;Mackenzie Muir,&nbsp;David Conroy,&nbsp;Christoph Schrank","doi":"10.1155/hbe2/5495369","DOIUrl":"https://doi.org/10.1155/hbe2/5495369","url":null,"abstract":"<p>This article concerns two 9-week longitudinal case studies of the integration of an immersive blended-learning structural geology curriculum at an Australian university. Immersive learning environments (ILEs) have the capacity to enhance learning outcomes in STEM through their inherent ability to represent 3D concepts and embed their users in real-world scenarios. Virtual reality (VR) presents an opportunity for educators to complement students′ learning, particularly in disciplines such as geoscience that are dependent on spatial reasoning and experiential learning. However, there are significant challenges presented by the integration of ILEs into curriculum. This article evaluates the benefits and limitations of immersive blended learning through an in-the-wild exploration of instructor and student experiences. Overall, students were interested in learning through VR, enjoyed the experiences and improved their self-efficacy. They preferred instructor-led learning paradigms due to dynamic visualisations and engaged discussions. This article identifies several challenges that impacted integration and students′ learning and provides a list of recommended approaches for future curriculum integration.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/5495369","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147566948","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 Illusion of Trust in AI: Behavioural Differences Between Humans and Large Language Models","authors":"Yuzhan Hang,&nbsp;Zhenhua Ling,&nbsp;Quan Liu,&nbsp;Xiaosong He,&nbsp;Wei Wu","doi":"10.1155/hbe2/3628473","DOIUrl":"https://doi.org/10.1155/hbe2/3628473","url":null,"abstract":"<p>As artificial intelligence (AI) systems increasingly enter trust-dependent domains, questions arise about whether their behaviour reflects genuine trustworthiness or merely the illusion of it. This study examined how humans and large language models (LLMs) establish and adjust trust in dynamic social interactions using a 50-round trust game. Across 100 human participants and three leading LLMs—ChatGPT-3.5, ChatGPT-4o and DeepSeek-V3—we compared trust trajectories, responsiveness to partner behaviour and reactions to unexpected outcomes. Human participants adjusted trust in line with partner trustworthiness and exhibited symmetrical responses to unexpected gains and violations. In contrast, LLMs showed fixed, model-specific behaviour with little to no adaptation based on interaction history. Despite their cooperative appearance, AI agents lacked mechanisms for social learning and trust calibration. These findings highlight a fundamental disconnect between perceived and actual AI behaviour and underscore the need for cautious interpretation of AI trust signals in socially sensitive contexts.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/3628473","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147566949","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":"Virtual and Augmented Reality in Sensory Marketing: A Systematic Review","authors":"Merylin Monaro,&nbsp;Valeria Orso,&nbsp;Alice Bettelli,&nbsp;Leonardo Pierobon,&nbsp;Giovanni Portello,&nbsp;Luciano Gamberini","doi":"10.1155/hbe2/2955334","DOIUrl":"https://doi.org/10.1155/hbe2/2955334","url":null,"abstract":"<p>This review is intended to provide an up-to-date overview of sensory marketing research exploiting virtual and augmented reality technologies in the retail scenario. The five senses play a fundamental role in the purchasing experience, and the lack of multisensorial interaction with the product is one of the factors that prevent e-commerce from becoming the first choice of customers, especially for certain categories of products. Virtual and augmented reality have been proposed as a means to compensate for the lack of sensorial involvement, thanks to features such as immersion, interactivity, and augmentation. We conducted a systematic literature review according to the PRISMA guidelines. Relevant studies published up to November 2024 were identified via Scopus, IEEE Xplore, ACM Digital Library, and Medline databases. Two main research trends emerged: the study of customers’ behavioral response to purposeful sensory-enriched shopping digital environments, and the investigation of customers’ behavior when the lack of sensorial stimulation, especially of touch, is compensated through the virtual augmentation of the product. Despite the potential implications of using virtual and augmented reality to improve the sensorial experience during e-shopping, this research field is still in its infancy. The limitations of the current studies are discussed, and a research agenda is proposed.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/2955334","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147566569","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":"Temperament, Self-Regulation, and Problematic Media Use in Chinese Preschoolers: Chain Mediation Models","authors":"Keya Ding,&nbsp;Xinyi Dong,&nbsp;Hui Li","doi":"10.1155/hbe2/8146088","DOIUrl":"https://doi.org/10.1155/hbe2/8146088","url":null,"abstract":"<p>Problematic media use (PMU) presents increasing challenges for young children in the digital age. Grounded in the Interactional Theory of Childhood Problematic Media Use and social cognitive theory, this study examined the chain mediating roles of cognitive self-regulation (CSR) and emotional/behavioral self-regulation (EBSR) in the relationship between temperament (negative affectivity [NA] and effortful control [EC]) and PMU. Participants included 456 Chinese preschoolers (238 boys, <i>M</i>_age = 5.57 years, SD_age = 0.74) and their parents (68 fathers, <i>M</i>_age = 36.74 years, SD_age = 5.18; 385 mothers, <i>M</i>_age = 35.79 years, SD_age = 4.49). Parent-reported questionnaires assessed children’s temperament, PMU, and digital self-regulation. The results indicated that NA positively predicted PMU (<i>r</i> = 0.29), whereas EC negatively predicted PMU (<i>r</i> = −0.18). CSR and EBSR sequentially mediated the association between temperament and PMU, serving as complementary mediators for NA and indirect-only mediators for EC (indirect effects ranged from −0.01 to −0.08). These findings highlight the influence of digital self-regulation on the temperament–PMU link, informing preventative interventions for young children’s digital media use.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/8146088","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665969","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":"Cyber Behaviors and Well-Being in Emerging Adults: Patterns, Determinants, and Gender Differences","authors":"Areej ElSayary,&nbsp;Juan Calmaestra,&nbsp;Mercedes Gómez-López","doi":"10.1155/hbe2/7545763","DOIUrl":"https://doi.org/10.1155/hbe2/7545763","url":null,"abstract":"<p>Technological advances have reshaped the ways in which young people interact, giving rise to a complex digital landscape with implications for their well-being. Despite the growing body of research on cyber behaviors, their potential for both positive and negative well-being outcomes is not yet fully understood, nor is the role of gender in shaping these relationships. The present study aimed to explore the relationship between online moral disengagement, problematic internet use, online disinhibition, and cyberbullying dimensions and emotional, social, and psychological well-being among 671 emerging adults, as well as to examine the potential moderator role of gender. The results revealed a structural equation model that adequately explained this association for both the overall sample and the male and female subsamples, finding both positive and negative associations between cyber behaviors and well-being. Among females, online moral disengagement and toxic disinhibition showed stronger negative associations with well-being, particularly psychological well-being, whereas mood regulation and benign disinhibition demonstrated stronger positive associations across all well-being dimensions. Among males, well-being was more strongly and positively associated with preference for online social interaction, cognitive preoccupation, and negative outcomes, with the latter exhibiting positive associations in males but negative associations in females. Cyber aggression and cyber victimization were negatively associated with well-being in both genders, with stronger associations observed among males. Compulsive internet use showed weak associations in both groups, with variation in direction and magnitude by gender. However, gender only moderated the relationships between well-being and preference for online social interaction, mood regulation, and cyber aggression, with a more pronounced effect observed in males. These results provide new empirical evidence for understanding the relationship between cyber behaviors and well-being and highlight the relevance of implementing universal digital literacy strategies that address both damaging and adaptive cyber behaviors.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/7545763","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147566190","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":"Correction to “Drivers of Acceptance of Generative AI Through the Lens of the Extended Unified Theory of Acceptance and Use of Technology”","authors":"","doi":"10.1155/hbe2/9824976","DOIUrl":"https://doi.org/10.1155/hbe2/9824976","url":null,"abstract":"<p>A. Ayyoub, Z. Khlaif, B. Hamamra, et al., “Drivers of Acceptance of Generative AI Through the Lens of the Extended Unified Theory of Acceptance and Use of Technology,” <i>Human Behavior and Emerging Technologies</i> 2025, no. 1 (2025): 1–13, https://doi.org/10.1155/hbe2/6265087.</p><p>In the article titled “Drivers of Acceptance of Generative AI Through the Lens of the Extended Unified Theory of Acceptance and Use of Technology,” the affiliation of the author M. Sanmugam was listed as English Department, University of Doha for Science and Technology, which is incorrect.</p><p>The correct affiliation for this author is as follows:</p><p>⁴Centre for Instructional Technology and Multimedia, Universiti Sains Malaysia, Malaysia</p><p>We apologize for this error.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/9824976","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653355","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":"An Empirical Study of m-Wallet User Behaviours in the Eastern Region of Thailand","authors":"Passarin Phalitnonkiat,&nbsp;Tuangporn Pinudom,&nbsp;Siwaporn Kunnapapdeelert,&nbsp;James Vincent Johnson,&nbsp;Hanafi Bin Hamzah","doi":"10.1155/hbe2/7019233","DOIUrl":"https://doi.org/10.1155/hbe2/7019233","url":null,"abstract":"<p>An m-wallet service is a consumer option designed to offer users an easy way to make money transfers and purchases. This study proposed to use the mobile technology acceptance model (MTAM) and self-efficacy theory—with the inclusion of three additional variables: personal innovativeness, trust and attitude—to understand the variables influencing behavioural intention and user behaviour of m-wallet users in the eastern region of Thailand. A total of 820 questionnaires were distributed and collected from respondents who use m-wallet services and who live in Thailand’s eastern provinces. Structural equation modelling (SEM) was used to investigate the relationships among the variables in the conceptual framework model. The findings highlight the importance of users’ attitudes towards using m-wallet applications. These attitudes were influenced by personal innovativeness and trust, which in turn significantly affected both user intention and actual usage behaviour. The results provide practitioners with suggestions for developing effective m-wallet service designs that meet the demands and expectations of m-wallet users.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/7019233","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147566188","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":"Build_PC: Mobile Augmented Reality for Supporting PC Hardware Learning With Low Mental Workload","authors":"Santiago Criollo-C,&nbsp;Andrea Guerrero-Arias,&nbsp;Javier Guaña-Moya,&nbsp;Soha Rawas,&nbsp;Agariadne Dwinggo Samala,&nbsp;Sergio Luján-Mora","doi":"10.1155/hbe2/3687910","DOIUrl":"https://doi.org/10.1155/hbe2/3687910","url":null,"abstract":"<p>The use of emerging technologies such as mobile augmented reality (MAR) in education has gained relevance, especially in technical areas such as PC hardware learning. However, a persistent problem is the cognitive load that these applications may impose on students, which could affect learning effectiveness and acceptance. This issue is crucial, as a high mental workload can lead to disengagement and lower knowledge retention. Previous studies have explored technological solutions for education but in many cases failed to optimize cognitive load or generate a satisfactory learning environment. This study proposes a MAR application called Build_PC, designed for hands-on teaching of PC hardware. The NASA-TLX tool was used to evaluate the mental workload in 60 students, analyzing dimensions such as mental, physical, temporal, performance, effort, and frustration level. The results show a low mental workload among students, suggesting that Build_PC achieves a balance between task complexity and interface usability. These findings have significant implications: The use of Build_PC in education enables effective, autonomous learning in a technologically advanced environment without imposing excessive mental workload. This supports MAR’s potential as an effective and sustainable learning tool, particularly in contexts where access to physical laboratories is limited.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/3687910","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653265","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":"Behind the Screen: Investigating ChatGPT’s Dark Personality Traits and Conspiracy Beliefs","authors":"Jérôme Rutinowski,&nbsp;Erik Weber,&nbsp;Markus Pauly","doi":"10.1155/hbe2/7230525","DOIUrl":"https://doi.org/10.1155/hbe2/7230525","url":null,"abstract":"<p>ChatGPT is notorious for its untransparent behavior. This paper tries to shed light on this, providing an in-depth analysis of the dark personality traits and conspiracy beliefs of GPT-3.5 and GPT-4. Different psychological tests and questionnaires were employed, including the Dark Factor Test, the MACH-IV Scale, the Generic Conspiracist Beliefs Scale, and the Conspiracy Mentality Scale. The responses were analyzed computing average scores, standard deviations, and significance tests to investigate differences between GPT-3.5 and GPT-4. For traits that have shown to be interdependent in human studies, correlations were considered. Additionally, system roles corresponding to groups that have shown distinct answering behavior in the corresponding questionnaires were applied to examine the models’ ability to reflect characteristics associated with these roles in their responses. Dark personality traits and conspiracy beliefs were not particularly pronounced in either model, with little differences between GPT-3.5 and GPT-4. However, GPT-4 showed a pronounced tendency to believe in information withholding. This is particularly intriguing given that GPT-4 is trained on a significantly larger dataset than GPT-3.5. Apparently, in this case, an increased data exposure correlates with a greater belief in the control of information, potentially due to dataset composition. An assignment of extreme political affiliations increased the belief in conspiracy theories. Test sequencing affected the models’ responses and the observed correlations, indicating in-session consistency.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/7230525","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653331","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}