Human Behavior and Emerging Technologies最新文献

Academic writing has always been an arduous task, especially for postgraduate students at most African universities. Nonetheless, the emergence of artificial intelligence (AI) tools appears to have relieved postgraduate students of such supposed academic stress. Despite the concerns about the potential threat of AI to academic integrity, reports have indicated that postgraduate students are developing an increasing appreciation for the use of AI-powered tools in writing. This study, therefore, sought to uncover the potential determinants of postgraduate students′ use of AI tools in academic writing. A total of 339 postgraduate students from a Ghanaian higher educational institution participated in the study. Ajzen′s theory of planned behaviour was employed as a framework to investigate the determinants of AI use. The proposed hypotheses were all confirmed—that is, behavioural beliefs, control beliefs and normative beliefs were significant predictors of postgraduate students′ behavioural intention to use AI in academic writing. It was also revealed that postgraduate students′ behavioural intentions and their control beliefs had a significant direct effect on their actual use of AI in academic writing. The study contributes to global debates on AI in higher education by highlighting that postgraduate students′ readiness to adopt AI tools is shaped not only by individual attitudes but also by perceived academic norms and contextual constraints. These insights emphasise the need for policies and pedagogical frameworks that promote responsible, equitable and context-sensitive AI integration in postgraduate education.

Internet addiction in children has been widely recognised as a substantial health and well-being issue that needs further studies and interventions. Existing literature suggests that behaviours related to children’s internet use and parental mediation may influence their online risks. However, there is a lack of research exploring how those factors may be associated with internet addiction risk, particularly in the context of developing regions with a higher risk and prevalence. The present study aims to investigate parental perspectives on the meaningful characteristics of children’s online behaviour and parental mediation that may contribute to protecting children from internet addiction. We conducted qualitative descriptive research involving 22 parents of Indonesian primary school children with diverse internet addiction risk assessed using the Parent-Child Internet Addiction Test (PCIAT). The data were collected using a 7-day parental diary followed by a post-diary interview and analysed using content analysis. This study found that children with a lower risk (PCIAT ≤ 30) were more likely to have less mobile screen time, engage in positive online activities, show transparency about online activities, prioritise essential activities over internet use and show interests in various real-world activities. Their parents were more likely to enforce strict screen time and content restrictions, provide adequate supervision, demonstrate consistent internet parenting, maintain open communication about internet use and show adequate awareness in educating and role-modelling healthy internet use. Three domains of parental challenges were also identified: determining effective parental mediation strategies, maintaining positive attitudes in internet parenting and managing external influences. These findings suggest that families should improve children’s online behaviour to protect them from internet addiction, such as managing online activities, encouraging positive internet use, promoting transparency and balancing the day with various activities. Parents should also be supported in providing appropriate regulations, educating their children about healthy internet use and serving as role models.

An employee’s understanding of the social context, which is formed through interactions with colleagues and managers, influences their thoughts, emotions, and behaviors at work. Social information processing theory (SIPT) posits that an individual’s perception of their social environment significantly determines their behavior. In this regard, the cues employees receive from their workplace are pivotal in shaping their attitude toward their job. This study seeks to assess the impact of being phubbed on turnover intention using a moderated (voice) mediation (ostracism) model grounded in SIPT. This model measures the effect of being phubbed on the intention to quit and determines how organizational ostracism and voice play a role in the relationship between these two variables. The research model was tested using Hayes’ Model 14 in SPSS. The sample included 143 participants from tour operators through convenience sampling. The results showed that being phubbed positively correlated with intention to quit and ostracism. Being phubbed also affected the intention to quit through partial mediation of ostracism, and organizational voice moderated this conditional indirect effect.

N. Sukma and A. Leelasantitham, “Factors Affecting Adoption of Online Community Water User Participation,” Human Behavior and Emerging Technologies 2022 (2022): 1732944, https://doi.org/10.1155/2022/1732944.

In the article, there is an error in the IRB approval number stated. The correct approval number given by the Institutional Review Board of Mahidol University is “COE No. MU-CIRB 2021/249.2709.”

We apologize for this error.

Emoji are frequently used in digital communication to convey or heighten emotions and visualize text. Despite the prevalence of online content about food and the crucial role of visuals therein, little attention has been paid to food emoji. This article presents three empirical studies that investigate the persuasive effects of emoji in social media food posts. The first two studies quantitatively analyzed a large corpus of Instagram influencers′ actual emoji use, finding that food and drinks emoji, while commonly used, do not significantly boost user engagement, whereas facial emoji (i.e., smileys) and emotional nonface emoji (e.g., hearts and certain gestures) do. The third study was an online experiment which examined emoji effects across generational cohorts. Depending on the type of emoji and the consumer′s age group, we found different effects of emoji on the persuasiveness of the communication. Results showed that food and drinks emoji complementing text improved attitudes towards the food and drinks in the posts as well as following intentions among older participants, but in fact negatively affected younger participants′ (Gen Z′s) attitudes and intentions. No evidence was found to support the hypothesis that emoji assist people with literacy challenges in message processing. The findings show that emojis can effectively express emotions and visually support text in social media food content, but also that their communicative effects are complex, in particular when targeting different age groups. This research has broader implications for digital (influencer) marketing and online communication aimed at persuading particular audiences.

Metaphors are a fundamental tool for shaping human understanding and interaction with the world. Indeed, they play a crucial role in cognitive and emotional processes, enabling individuals to comprehend one domain of experience in terms of another. Grounded in the Conceptual Metaphor Theory, this scoping review emphasizes the significant role of the body in metaphorical cognition and examines how technology may enhance cognitive and emotional abilities through metaphorical embodiment and enactment. Additionally, the review proposes the theoretical frameworks of active inference and Bayesian brain to provide a deeper understanding of how embodied metaphors shape cognitive and emotional experiences by integrating past experiences with current sensory inputs to make predictions about the future. Searches were conducted in the PubMed, PsycINFO, Scopus, and Web of Science databases to extract relevant articles. Out of the 2648 articles retrieved, a total of 19 studies met the inclusion criteria, comprising 15 studies concerning the effect of metaphors on different cognitive abilities (i.e., learning, creative cognition, and perception) and 4 studies regarding emotions (i.e., emotional regulation, arousal, and psychophysiological correlates). Data from these studies were systematically extracted, tabulated, and subjected to a narrative synthesis. Overall, findings suggest that the embodiment and enactment of metaphors, facilitated by immersive technologies, significantly influence cognitive processes and emotional experiences. This enhancement is observed across diverse demographic groups, indicating broad applicability. Despite promising implications, the review identifies a need for further research, especially among clinical populations and in exploring metaphors not traditionally framed within the Conceptual Metaphor Theory.

This study examines determinants of smart city technologies adoption in the United Arab Emirates′ regional cities by extending the Unified Theory of Acceptance and Use of Technology (UTAUT). The pertinent literature has been thoroughly examined. Trust has been integrated as a central mediating construct, and personal innovativeness and financial cost were also added to the UTAUT original model. In addition, a cross-sectional survey of 224 IT professionals was used to collect quantitative data from the regional cities of UAE. The model under research was evaluated and confirmed using a structural equation modeling approach. Reliability and validity met conventional thresholds, and a bootstrapped mediation test was applied. The empirical research findings showed that performance expectancy, effort expectancy, social influence, facilitating conditions, personal innovativeness, and financial cost each positively influence trust and trust in turn significantly predicts adoption attention. Further, the model explains 58.2% of the variance in trust and 27.9% in adoption intention. Besides, mediation analysis indicates that trust mediates the impacts of the six antecedents on adoption intention, highlighting trust as the principal mechanism translating into functional, social, and economic perception into adoption behavior. The findings also suggest that policymakers and government officials should prioritize trust-building measures, for instance, transparent data practices, clear value-for-money communication, and sustained user support and training alongside continued investments in enabling infrastructure. Finally, the study contributes an empirically by validating a trust-centered extension of UTAUT tailored to the government-led smart city context in emerging urban settings.

The insurance industry faces unprecedented challenges as digital transformation accelerates while regulatory frameworks struggle to keep pace with technological innovation, creating significant risks that require new models of public–private cooperation. This study examines key factors driving effective public–private cooperation in insurance regulation during digital transformation, developing an integrated theoretical framework that combines new public management principles, trust–commitment theory, and information systems participation theory. Using structural equation modeling with data from 546 stakeholders across multiple jurisdictions, we identify critical pathways through which efficiency considerations, accountability mechanisms, change agent activities, and open data initiatives influence collaborative governance outcomes. Analysis reveals three transformative insights that reshape understanding of collaborative governance in digital regulatory environments. First, relational factors serve as essential mediators between technological capabilities and collaborative outcomes, with relationship commitment, principled engagement, and trust collectively explaining nearly half of the variance in public–private cooperation effectiveness. Second, an efficiency–relationship paradox emerges where efficiency pressures simultaneously improve engagement processes while potentially undermining long-term commitment formation, challenging traditional assumptions about efficiency-focused governance approaches. Third, digital enablers function as relationship catalysts rather than mere operational tools, with change agents and open data initiatives proving crucial for trust development and sustained collaboration. The research provides actionable guidance for policymakers implementing AI governance frameworks while advancing theoretical understanding of collaborative governance in digital regulatory environments. Findings demonstrate that technological solutions alone prove insufficient for effective digital governance, requiring explicit integration of relationship-building mechanisms to achieve sustainable public–private cooperation. These contributions prove particularly timely as insurance ecosystems worldwide experience simultaneous technological revolution and intensified regulatory scrutiny.

This research examines the role of digital social responsibility (DSR) in fostering sustainable economic development in Iraq. Using a mixed-methods approach that included a large-scale survey and supplementary expert interviews, we model the observable relationship between DSR awareness, trust in digital companies, the priority given to data protection, and sustainable economic behavior in digitally active Iraqis. The regression model explained over 80% of the variance in sustainable economic behavior (R² ≈ 0.81). The qualitative results underscored that most decision-makers and business leaders, as well as representatives from civil society organizations, understand the importance of accelerating digital law adoption, enhancing public awareness, and strengthening cross-sector collaboration. They also recognized existing challenges, such as the uneven adoption of DSR among SMEs, underdeveloped digital infrastructure, and a still-maturing digital culture. This research contributes to the gap in the global literature by providing empirical evidence on DSR and sustainable economic development in Iraq and the MENA region, where comprehensive research is lacking. Overall, the study indicates that Iraq can navigate a responsible shift to digital systems while also achieving sustainable economic development, provided effective policy initiatives embed DSR, strengthen regulatory frameworks, and advance digital inclusion and trust. These are essential for Iraq to bridge the gap with its regional peers and leverage digital innovation to achieve inclusive and sustainable development.

As robots are increasingly perceived not only as functional tools but also as socially interactive agents endowed with perceived minds, inconsistent findings on the role of human-like mind in robot acceptance underscore the need to clarify the underlying psychological mechanisms. Drawing on the three-dimensional mind perception framework and the theory of reasoned action, this study investigated how perceptions of a robot′s body, cognitive, and socioemotional capacities—termed body, mind, and heart—influence robot acceptance among middle-aged and older adults in China. Using a two-stage analytical approach that combines set-explorative structural equation modeling (set-ESEM) and necessary condition analysis (NCA), this study investigated both sufficiency and necessity of mind perception and attitudes in shaping trust and behavioral intentions. Data were collected from a cross-sectional questionnaire survey of 407 Chinese adults aged 50 and above (M = 56.16, SD = 4.56). The set-ESEM results indicated that body dimension heightened negative attitudes toward robot interaction (β = 0.316, p = 0.024), whereas the mind (β = –0.452 , p < 0.001) and heart (β = −0.567, p < 0.001) dimensions mitigate negative attitudes toward interaction and emotional discomfort, respectively. NCA revealed that none of these mind dimensions individually served as necessary conditions for behavioral intentions. By contrast, trust in robots emerged as both a necessary (β = 0.320, p = 0.001) and sufficient condition (d = 0.18; p < 0.001). A minimal level of trust (21.4%) is required to reach a moderate intention to use (60%). The study advances theoretical understanding of mind perception in robot acceptance and provides practical guidance for designing robots that balance bodily sensation, cognitive, and socioemotional capacities. By prioritizing trust while integrating targeted mind perception dimensions, developers and policymakers can create inclusive and acceptable robots for older populations.