Human Behavior and Emerging Technologies最新文献

{"title":"Enabling Digital Transformation: Factors Influencing Continuance Intention and Use of Digital Government Services in Saudi Arabia","authors":"Yaser Hasan Al-Mamary,&nbsp;Aliyu Alhaji Abubakar,&nbsp;Mohammad Alshallaqi,&nbsp;Wail Alhakimi,&nbsp;Alina Shamsuddin","doi":"10.1155/hbe2/5590676","DOIUrl":"https://doi.org/10.1155/hbe2/5590676","url":null,"abstract":"<p>The rapid advancement of technology has transformed public sector operations worldwide; however, detailed knowledge regarding technology integration in the Saudi Arabian public sector remains limited. This study aims to address this gap by examining the factors that influence public sector employees’ continued intention to use digital technologies in Saudi Arabia. Drawing on the unified theory of acceptance and use of technology (UTAUT) and the government adoption model (GAM), the study investigates the roles of performance expectancy, effort expectancy, social influence, facilitating conditions, trust, system quality, and satisfaction in shaping employees’ continuance intention, as well as the effect of continuance intention on actual usage behavior. A quantitative approach was employed, and data were collected from 268 government employees using a structured online questionnaire. The data collection process emphasized clarity and consistency to ensure the reliability and validity of the findings. The results reveal that social influence, system quality, and satisfaction have significant positive effects on employees’ continuance intention, which in turn significantly influences usage behavior. These findings indicate that sustained use of digital technologies in the Saudi public sector is driven more by social and system-related factors than by individual performance or effort considerations. This study contributes empirical evidence to the existing literature on e-government adoption and offers practical insights for policymakers seeking to enhance digital service delivery in the public sector. It underscores the importance of strengthening system quality, fostering positive social norms, and enhancing user satisfaction to support the continuous use of digital technologies in Saudi Arabia. The findings also provide a foundation for future research to further explore sustained technology adoption and its impact on public service delivery.</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/hbe2/5590676","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665963","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":"Barcode Medication Administration Technology and Minimisation of Workarounds and Deviations from Designed Processes: A Systematic Review and Extended Typology of Clinicians′ Workarounds","authors":"Katerina Svandova,&nbsp;Zdenek Smutny","doi":"10.1155/hbe2/7527482","DOIUrl":"https://doi.org/10.1155/hbe2/7527482","url":null,"abstract":"<p>The use of information technology in healthcare improves the services provided and their safety for patients. Although the Barcode Medication Administration (BCMA) technology has been widely adopted in health facilities over the last almost 30 years as a tool with the potential to reduce medication administration errors, a number of studies describe high rates of workarounds and deviations from designed processes where BCMA is used. The purpose of this review is to identify, based on a literature review, the types of workarounds and deviations from processes using BCMA, their causes and consequences, including suggestions for potential solutions to reduce them. This review was prepared using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Scientific studies were searched in the international citation databases Web of Science and Scopus. The search covered papers published in English, between 1995 and 2023. The initial search yielded 1386 studies, of which 39 were included in the review. A qualitative content analysis was carried out. Nineteen studies addressed the topic of workarounds, their causes and their impact in the form of medication errors. Seventeen studies focus on proposing solutions to reduce workarounds and their causes. Three studies cover both topics. This article extends the older typology of workarounds and their causes. Newly identified were 7 types of BCMA workarounds (22 in total), 104 causes of workarounds (135 in total) and a list of secondary factors influencing the occurrence of workarounds, and 8 potential medication errors (15 in total). The occurrence of workarounds and deviations from the BCMA process is influenced by the implemented technologies and organisational or sociotechnical aspects related to the nature of work in each department. The most frequently cited reasons are organisational (e.g., missing drug barcodes, lack of nurse training, and high workload) and technological (e.g., connectivity and software issues). Suggestions for limiting workarounds focus mainly on limiting workarounds in which drug barcode scanning is omitted. In addition, proposals focus on ensuring that all doses picked by the hospital pharmacy are barcoded in the form of unit-dose packaging, or on quality improvement projects in conjunction with the use of the BCMA technology by nurses. Future research should focus on designing a methodology for phased implementation of the BCMA technology to help healthcare organisations make decisions about the planning and details of implementation and the appropriateness of combining various identification technologies.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/7527482","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665948","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":"Smartphone Addiction Among University Students: A Scoping Review of Prevalence, Correlates and Impact","authors":"Daniel Miezah,&nbsp;Theresa Brew,&nbsp;Mark Anthony Graham,&nbsp;Paul Obeng","doi":"10.1155/hbe2/5511423","DOIUrl":"https://doi.org/10.1155/hbe2/5511423","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Smartphone addiction threatens university students’ academic performance. There is a paucity of synthesised literature on its prevalence and correlates among such populations. This scoping review synthesised literature on the prevalence, correlates, predictors, demographic differences and effects of smartphone addiction in this population.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Following the Arksey and O’Malley (2005) framework, a comprehensive search was conducted across multiple databases (PubMed, Web of Science, Scopus, JSTOR, Central, Dimensions AI, and PsycINFO) and Google Scholar. The search strategy included English-language articles published from 2005 to May 2024. Study selection, data extraction and synthesis were performed by a team of authors, with consultation from experts and an academic librarian at various stages of the review process.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The initial search yielded 2036 records, with 44 studies ultimately included in the review. The prevalence of smartphone addiction among university students ranged 11%–85% globally. Correlates of addiction included mental health issues, academic performance, social factors, lifestyle habits and demographic variables. Predictors of smartphone addiction involved socioeconomic factors, psychological conditions, usage patterns and demographic characteristics. Demographic differences were observed, with women showing a higher prevalence and different patterns of addiction compared to men. The effects of smartphone addiction were poor sleep patterns, physical health and psychological well-being.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Smartphone addiction among university students was highly prevalent and strongly associated with adverse mental, academic and physical health outcomes. Universities should implement digital literacy and mental health programmes to promote balanced smartphone use. Further research should explore gender-specific interventions and behavioural modification strategies to mitigate addiction risks.</p>\u0000 </section>\u0000 </div>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/5511423","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665949","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":"Improvisational Music Therapy in the Metaverse: Assessing the Feasibility of an Immersive VR Support System","authors":"Christian Corrò,&nbsp;Luca Chittaro,&nbsp;Eva Pupo,&nbsp;Donatella Bellomo,&nbsp;Stefano Navone","doi":"10.1155/hbe2/5535667","DOIUrl":"https://doi.org/10.1155/hbe2/5535667","url":null,"abstract":"<p>Improvisational music therapy, a form of art therapy that relies on using musical instruments in a shared space with a music therapist, currently lacks suitable digital tools for conducting remote sessions. This limitation hinders the possibility of conducting the therapy in conditions where in-person sessions are impractical. For example, during the COVID-19 pandemic, due to social distancing measures, many improvisational music therapy programs were suddenly halted, compromising users’ progress and severely limiting the work of music therapists. This study contributes to the literature by introducing the first system to support remote improvisational music therapy with immersive virtual reality in a metaverse context. The system has been designed and validated by a multidisciplinary team of computer scientists, music therapists, and clinical psychologists. The results of the user study indicate that the system provides the conditions necessary for effective nonverbal communication and musical interplay within an immersive virtual environment. We also identify further improvements to enhance the fidelity of nonverbal communication, as it is the fundamental relational component of improvisational music therapy. This work shows the potential of immersive virtual reality and the metaverse to enable remote improvisational music therapy sessions, providing a foundation for future clinical validation studies.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/5535667","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653180","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":"Emotion Regulation Strategies and Social Media Addiction: Gender-Specific Pathways Through Social Anxiety and Depression in Youth","authors":"Lucia Monacis,&nbsp;Daiana Colledani,&nbsp;Claudia Mortali,&nbsp;Pasquale Anselmi,&nbsp;Luis J. Gomez Perez,&nbsp;Bruno Genetti,&nbsp;Daniele Fassinato,&nbsp;Luisa Mastrobattista,&nbsp;Adele Minutillo","doi":"10.1155/hbe2/5824160","DOIUrl":"https://doi.org/10.1155/hbe2/5824160","url":null,"abstract":"<p>The increasing prevalence of social media addiction (SMA) among adolescents poses significant challenges for mental health, highlighting the need for effective prevention and intervention strategies. This study investigates how two well-known emotion regulation strategies—cognitive reappraisal and expressive suppression—relate to SMA, with depressive symptoms and social anxiety as mediators, focusing on gender differences in an Italian adolescent sample. Using multiple-group path analysis, results showed that both expressive suppression and cognitive reappraisal directly predict SMA similarly across genders, while indirect effects via depressive symptoms and social anxiety differ by gender. Expressive suppression was positively associated with depressive symptoms and social anxiety, with stronger expressive suppression–depressive symptom links in males and stronger expressive suppression–social anxiety links in females. Cognitive reappraisal was protective, particularly against social anxiety in females. Depressive symptoms mediated the impact of emotion regulation strategies on SMA more strongly in females, whereas social anxiety mediated these effects mainly in males, with social anxiety directly linked to SMA only in males. These gender-specific pathways highlight distinct emotional vulnerabilities contributing to SMA. The study also provides a primary validation of the Italian Social Media Use Disorder Scale for Adolescents, reinforcing its utility as a reliable tool for assessing SMA. Overall, these findings offer valuable insights for developing gender-sensitive, targeted prevention and treatment programs aimed at improving adolescent emotional well-being and reducing SMA risk.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/5824160","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653173","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":"ASR-Dictation Accuracy for Second Language Speech: Programs, Tasks, and Language Backgrounds","authors":"Shannon McCrocklin,&nbsp;Idée Edalatishams,&nbsp;Abdulsamad Humaidan","doi":"10.1155/hbe2/5762328","DOIUrl":"https://doi.org/10.1155/hbe2/5762328","url":null,"abstract":"<p>Over the last 20 years, automatic speech recognition (ASR) has improved substantially and spread into people’s everyday lives through hands-free texting and intelligent personal assistants. ASR has also gained recognition within the field of second language learning as the transcript provided by ASR programs can support noticing of pronunciation errors. Given the growing interest and research in ASR, it is important to examine the accuracy of the technology for nonnative speech, especially given that studies have documented that second language speakers have been frustrated by low levels of ASR recognition. Using a three-way ANOVA, this study examines the transcription accuracy of two ASR-dictation programs, <i>Google</i> and <i>Windows Speech Recognition</i> (<i>WSR</i>), to understand accuracy as compared to human listeners for learners of three different first language backgrounds (Arabic, Chinese, and Spanish) on two different types of tasks (free and read speech). The results show that while <i>Google</i> had a higher level of transcription accuracy than <i>WSR</i>, <i>WSR</i> actually showed greater correlation with human listener intelligibility. While the speakers’ language background was not shown to have a significant effect, the task did, with <i>WSR</i> losing substantial accuracy in the free speech task. The results show a need for continued development and advancement of ASR technologies for second language speech.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2026 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/5762328","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665920","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":"Through My Eyes: Integrative Model of Awareness-Raising (IMAR)","authors":"Abdelmajid Kadri,&nbsp;Auriane Busser,&nbsp;Sylvain Fleury","doi":"10.1155/hbe2/4947048","DOIUrl":"https://doi.org/10.1155/hbe2/4947048","url":null,"abstract":"<p>Thanks to the phenomena of presence and embodiment, immersive virtual reality makes it possible to create situations that influence users’ mental representations. This can deepen understanding of another person’s perspective and foster compassion and motivation for prosocial behavior. In the literature, several studies have shown positive correlations between presence in a virtual environment and empathy. Other studies have shown the influence of prosocial video games on increasing prosocial behavior in the real world. Numerous models have been developed to explain the complex mechanisms of empathy and prosocial behavior. Despite this abundance of research, existing models remain fragmented, each addressing a specific aspect of the complex mechanisms of empathy and prosocial behavior. The literature does not yet provide a comprehensive framework for integrating these mechanisms in the specific context of awareness. Based on the knowledge that has been established, we propose an Integrative Model of Awareness-Raising (IMAR) based on these solid theoretical foundations, not to revalidate them, but to mobilize them in the design and evaluation of awareness-raising tools. We measured the main variables of the IMAR model using standardized questionnaires, and before and after users were exposed to a visual impairment awareness-raising experience in a virtual environment. This enabled us to assess the model’s effectiveness in predicting the effects of an awareness-raising activity. We hypothesized a positive influence of the use of the virtual awareness-raising tool on participants’ cognitive empathy, affective empathy, and prosocial responses. In the experiment carried out, 46 participants were exposed to the immersive visual impairment awareness-raising tool. All were engineering students, aged between 22 and 32. To measure their level of presence and their mental representations of disability, the participants answered a first questionnaire just before the experiment, a second just after the experiment, and a third one a week later. These measures enabled us to study the changes induced by the virtual awareness-raising tool, as well as their maintenance over time. The results show that awareness-raising in the virtual environment led to an increase in prosocial behavior, as well as its maintenance over time. Participants were more willing to give their time to charity after the awareness-raising session than before. This effect is particularly achieved through enhanced cognitive empathy. Based on the model, the results suggest that the awareness-raising tool could be improved in terms of affective empathy, by working on the narrative, for example. The main contribution of this paper is to propose an IMAR process based on the literature, as well as an experiment showing how this model can be used to interpret the impact of an awareness-raising approach and to identify areas for improvement.</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/hbe2/4947048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653194","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":"AI Self-Efficacy, Motivation, and Engagement Among STEM Learners: Mediating and Moderating Pathways to Perceived Mathematics Performance in Ghanaian Higher Education","authors":"Ebenezer Kwesi Lotey,&nbsp;Francis Ohene Boateng,&nbsp;Benedicta Ofosua","doi":"10.1155/hbe2/8637455","DOIUrl":"https://doi.org/10.1155/hbe2/8637455","url":null,"abstract":"<p>Performance in mathematics (PM) has become a progressively influential determinant for learners to navigate in various STEM (science, technology, engineering, and mathematics) disciplines. Mathematics serves as the bedrock for science, art, technology, and engineering. For learners to build strong confidence and interest in these fields, the demand for highly acceptable mathematics perceived mathematics performance cannot be underestimated. This research explores students’ perceived mathematical performance through artificial intelligence (AI) self-efficacy and examines the interplay between motivation and engagement in AI usage and its impact on perceived mathematics performance. Sampling 528 students from a STEM-based program in Ghana, this study utilized “covariance-based structural equation modeling” (CB-SEM) to examine students’ AI self-efficacy, AI motivation, AI engagement, and perceived mathematics performance. The study’s results depicted that AI self-efficacy positively affects students’ motivation to use AI and significantly influences AI engagement, which subsequently impacts their perceived mathematics performance. Furthermore, students’ motivation for AI usage and their engagement with the tool mediate the link between AI self-efficacy and perceived performance. Both engagement and motivation in AI moderate the relationship between AI self-efficacy and performance. This investigation provides empirical evidence on how AI, if adapted ethically, might enhance students’ mathematics performance and improve the quality of mathematics concept retention through self-regulated learning or personalization. The results therefore offer insights into learner attitudes and behavioral intentions, while pointing to the need for future research connecting AI use with objective achievement data. For educational practice, the findings suggest that fostering AI self-efficacy through targeted training can create cascading benefits for motivation, engagement, and ultimately, perceived mathematics performance among STEM students.</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/hbe2/8637455","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653195","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":"Breaking Infectious Disease Stigma: The Unusual Case of COVID-19 Test Sharing on Twitter During the Pandemic","authors":"Effie Le Moignan,&nbsp;Jamie Mahoney,&nbsp;Shaun Lawson","doi":"10.1155/hbe2/6654869","DOIUrl":"https://doi.org/10.1155/hbe2/6654869","url":null,"abstract":"<p>The invisible nature of viruses renders them as having a high degree of fear attached due to the unknowability of infectivity and transmission during a pandemic. Fear and a lack of control which arise in this context can contribute to the emergence of stigma around infected individuals or those exposed. Stigma may exacerbate issues such as social isolation but also has detrimental impact on public health control measures. Individuals may avoid compliance with testing regimes and wait longer to present for diagnosis if stigma is perceived. Focussing on UK tweets of rapid COVID-19 tests (LFTs) during the COVID-19 pandemic, this work explores how sharing exceeds the functional diagnostic purpose of the tests themselves, and if there was any evidence of self-stigmatisation in testing for, or contracting, COVID-19. Among sharers, the images demonstrate little evidence that either COVID-19 was a socially stigmatised condition or reticence in sharing participation with the testing regime.</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/hbe2/6654869","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653192","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 Impact of AI-Generated Content on Decision Making for Topics Requiring Expertise","authors":"Shangqian Li,&nbsp;Tianwa Chen,&nbsp;Gianluca Demartini","doi":"10.1155/hbe2/3410621","DOIUrl":"https://doi.org/10.1155/hbe2/3410621","url":null,"abstract":"<p>Modelling users′ online decision making and opinion change is a complex issue that needs to consider users′ personal determinants, the nature of the topic and the information retrieval activities. Furthermore, generative AI-based products like ChatGPT gradually become an essential element for the retrieval of online information. However, the interaction between domain-specific knowledge and AI-generated content during online decision making is unclear. We conducted a lab-based explanatory sequential study with university students to overcome this research gap. In the experiment, we surveyed participants about a set of general domain topics that are easy to grasp and another set of domain-specific topics that require adequate levels of chemical science knowledge to fully comprehend. We provided participants with decision-supporting information that was either produced using generative AI or collected from selected expert human-written sources to explore the role of AI-generated content compared with ordinary information during decision making. Our results revealed that participants are less likely to change opinions on domain-specific topics. Since participants without professional knowledge had difficulty performing in-depth and independent reasoning based on the information, they favoured relying on conclusions presented in the provided materials and tended to stick to their initial opinion. Besides, information that is labelled as AI-generated is equivalently helpful as information labelled as dedicatedly human-written for participants in this experiment, indicating the vast potential as well as concerns for AI replacing human experts to help users tackle professional topics or issues.</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/hbe2/3410621","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665905","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}