Human Behavior and Emerging Technologies最新文献

The acceptance and adoption of emerging technologies are crucial for their effective integration. This study examines the factors influencing educators’ acceptance of Generative AI (Gen AI) tools in higher education, guided by the UTAUT model. It also develops a structural model to explore the relationships between UTAUT constructs and behavioral intention (BI) to use Gen AI. Using a quantitative approach, the study collected data through a self-administered online survey based on prior research findings. The survey gathered responses from 307 educators across various Arab countries who are early adopters of Gen AI in teaching. PLS-SEM was used to analyze the data. Findings indicate that UTAUT constructs significantly and positively influence educators’ intention to use Gen AI. Additionally, the results highlight the complex role of gender and work experience, revealing diverse perspectives among educators from different countries. This study contributes to the literature by deepening the understanding of technology adoption factors. It also offers theoretical and practical implications for researchers and policymakers in designing strategies to integrate Gen AI into higher education in developing countries.

Climate change is a global phenomenon that affects every living being on our planet. Raising awareness among people about climate change and helping them realize the possible consequences of their actions is key to mitigating climate change problems. Our research was aimed at achieving this by building a persuasive intervention that combines visualization of climate change data and an interactive narrative that demonstrates how our actions can impact the climate. We conducted a user study with 100 participants and found evidence showing that our system was effective in significantly promoting behavioral intention to mitigate climate change. We found defensive responses as a key factor that is negatively influencing the effect of our intervention on the participants. Compelling visuals and multiple interaction options, simulating climate actions and their consequences, and reducing the effort to learn about the phenomenon were significant positive techniques used in the intervention. Additionally, the social elements of our intervention played a major role in promoting participants’ willingness to perform proenvironmental behavior. Our work contributes to the field of persuasive technology, data visualization, interactive narratives, and climate research by introducing a new persuasive way of communicating climate change information to the public using a combination of data visualizations and interactive narratives.

The adoption of blockchain technology continues to grow, a direct result of its potential to provide new solutions to old problems in several industries, including the electoral sector. Blockchain technology is proposed to have the potential to address and overcome the traditional pen and paper scheme’s challenges and limitations, as well as trust concerns around more modern e-voting systems. Ultimately, with the aim to revert the recent downward trend in voter turnover, despite the interest and potential, there remains a significant research gap in understanding citizen response to this technology. This research is aimed at investigating whether citizens would be willing to embrace blockchain technology, as well as at exploring the factors that influence its adoption. A model designed to combine the extended unified theory of acceptance and use of technology methodology with an experimental approach is applied. The results of the study (N = 416) show that the intention to use blockchain-based e-voting systems can be predicted by five of seven constructs, that is, citizens are more likely to adopt e-voting systems when they perceive them to be effective, socially endorsed, enjoyable, trustworthy, and low in perceived risk. However, we do not find a direct influence of blockchain technology, over cloud-based e-voting, on voting intentions indicating that the benefits of this approach may not be well understood by consumers or may not drive the desired increase in voting intention. By understanding citizens’ willingness and concerns to adopt new voting technologies and the factors influencing this disposition, policymakers are better equipped to develop strategies on the development and implementation of electronic voting systems and can make informed choices about the use of blockchain technology.

Online game playing of youth in China, especially their problematic online gaming (POG), has become one of the social issues that affects large numbers of people and their families. However, studies about the impact of player’s motivation on problematic playing are sparse and lack systematic approaches. Our current study is aimed at investigating the relationship between gaming motivations and POG. This paper presents the results of a large-scale survey conducted in China with 1557 participants, of whom 1358 (87.2%) were male. A multiple regression analysis with 10 game motivations as predictors has been performed to explore which factors have effects on game addiction. It is shown that the best predictors of game addiction are the escapism motivation, followed by the competition motivation and then the advancement motivation. The mediation effect of demographic variables on the relationships between player’s motivations and game addiction is further examined using the casual steps, and a significant mediating effect of age on game addiction is revealed. The POG differences across gender and age were also examined. The findings enable a better understanding of the underlying mechanics of POG and to minimize the risks and maximise the positive impact of games on society.

R. H. Mustofa, S. A. Prestianawati, D. E. Sari, H. Riyanti, and A. Setiawan, “Celebrity Endorsements and Promotions: Enhancing Young Muslim Online Shoppers’ Satisfaction” Human Behavior and Emerging Technologies 2024, no. 1 (2024): 1-16, https://doi.org/10.1155/2024/3895680

In the article titled “Celebrity Endorsements and Promotions: Enhancing Young Muslim Online Shoppers’ Satisfaction,” there was an error in the Funding section, where the grant number was wrongly mentioned as 275/A.3-III/LRI/IX/202. The corrected section appears below:

The authors fully funded the publication costs for this article. The data collection expenses were agreed to be covered using the individual resources of each author involved in this research. Additionally, this research received funding support from Universitas Muhammadiyah Surakarta under grant number 303.7/A3-III/LRI/X/2023.

We apologize for this error.

Integrating collaborative robots (cobots) in work environments is advancing rapidly, with growing attention to designing systems that can effectively collaborate with humans. A key aspect of this effort is enhancing cobots’ adaptability, that is, their ability to adjust behavior in real time based on workers’ needs and characteristics, particularly their psychological states. Despite increasing research, a synthesis of the most considered psychological states and the corresponding adaptation mechanisms is still lacking. This review examines recent experimental evidence on cobots which modify their behavior in response to workers’ psychological states and evaluates how these adaptations influence human–robot collaboration outcomes. Following preregistration on PROSPERO, this study adhered to PRISMA-P guidelines to select 23 studies focusing on cobots’ adaptation mechanisms and their impact on task performance and worker well-being. The findings reveal that most adaptations target cognitive states, particularly workload, attention, and situational awareness, reflecting a strong research emphasis on optimizing decision-making and efficiency. Emotional adaptation has been explored to a lesser extent, while real-time adjustments based on motion intention are gaining traction in movement coordination tasks. Cobots primarily rely on physiological and behavioral signals—such as heart rate variability, electrodermal activity, and gaze fixation—to infer workers’ psychological states. Various adaptation strategies, including task reallocation and speed modulation, demonstrate measurable improvements in collaboration fluency, cognitive load management, and operational performance. This review highlights the critical role of psychology in robotics research, promoting multidisciplinary collaboration to develop adaptive cobots that enhance both productivity and worker well-being.

Evidence about the associations between mental health and problematic social media use (PSMU) over time is mixed. While some studies have found mental health predicted PSMU over time, others found nonsignificant relationships. Therefore, the present study was aimed at investigating the impact of mental health (depression, anxiety, and wellbeing) on PSMU among young adults over time and investigating the potential mediating role of motives for social media use. The eMediate study participants (n = 431, 49.7% female, age = 22.6 ± 1.8 years) who completed four waves of online questionnaires assessing social media use and mental health at 3-month intervals were included. Multilevel mediation analysis was used to examine the association between mental health and PSMU, and the possible mediating effect of motives for social media use. Depressive and anxiety symptoms and wellbeing significantly predicted PSMU over time, and social media use was motivated to cope with bad feelings, conform with others, be entertained, social interaction, escape from daily problems and stress, support seeking, and increase positive and decrease negative emotions. The escapism motive mediated the associations between symptoms of depression and anxiety and PSMU over time. The enhancing motive mediated the associations between depressive symptoms and wellbeing and PSMU over time. These findings provide insights into the motivational processes that may be driving the associations between mental health and PSMU, which could be targeted for intervention.

Objective: Early childhood development shapes lifelong health and learning, with 90% of brain architecture formed by age 5. Mobile health shows promise in this area. We conducted a systematic review to assess mobile health use in early childhood development.

Methods: The review followed PRISMA guidelines, with a comprehensive search of PubMed, Scopus, and Web of Science for English-language articles from January 1, 2000, to December 31, 2024. To reduce publication bias, gray literature—including conference proceedings and Cochrane database—was systematically searched. The eligibility criteria were established using the Population, Intervention, Comparison, and Outcome framework, and studies that did not meet the criteria were excluded. Two independent reviewers assessed study quality with the Mixed Methods Appraisal Tool.

Results: Nine studies from 2019 to 2022 met the criteria, assessing motor skills (4), cognitive abilities (2), language development (4), and social–emotional aspects (3). One study addressed all four developmental domains, another focused on language and social–emotional development, and the remaining studies examined a single domain. One study utilized social media platforms, while the others used mobile apps. The Mixed Methods Appraisal Tool rated four studies as “good” and five as “moderate.” Only one study was conducted in low- and middle-income countries. All the included studies reported positive impacts of mobile health on developmental domains, some statistically significant. Overall, few studies exist on mobile health in child development, mostly from high-income countries with small samples and laboratory settings. Positive effects were reported across domains, but motor improvements were limited to skills without advancing development levels. Using assistive devices improved outcome accuracy and clarified intervention effects.

Conclusion: Few studies have been conducted in the field of mHealth in ECD. There is a need for further research applying the Nurturing Care Framework (NCF)—particularly in low-income countries—to better understand the effectiveness of mobile health interventions in diverse settings.

With cyberattack methods becoming increasingly sophisticated and end-users of targeted technology continuing to be the weakest link, it is crucial to develop more optimal ways to measure and better understand human cybersecurity behaviour risk. Across three studies, a tool consisting of a battery of established questionnaires and other measures to investigate employee cybersecurity vulnerability factors was tested and developed. Study 1 determined key correlating factors including security–self-efficacy, experience and involvement, awareness and organisational policy, with large effect sizes. A refined tool was deployed in Study 2 amongst a larger sample of employees within a multinational organisation. Exploratory factor analysis determined two latent factors—cybersecurity awareness and psychological ownership. However, 55% of variance within a regression model was explained by cybersecurity awareness alone. Study 3 included an even larger sample employed by multiple organisations—with cybersecurity awareness accounting for 60% of variance. We propose the employee cybersecurity awareness framework (ECAF) with cybersecurity awareness at its core and containing six underlying factors: threat appraisal, information security self-efficacy, information security awareness, information security attitude, information security operation policy and cybersecurity experience and involvement. The ECAF can be deployed by organisations to optimally measure employee cybersecurity risk factors and determine optimal interventions tailored to risk profiles.

Objectives: Health promotion campaigns suffer from a lack of systematic evaluation and do not always impact the target population as intended. Our research adopted immersive virtual reality (iVR) to systematically evaluate preventive antitobacco messages in a controlled setting while mimicking a naturalistic and ecological environment. We investigated the effect of incidental exposure to preventive antitobacco billboard posters on attitudes and cravings toward tobacco and poster recognition.

Methods: Participants were undergraduate students (n = 157), mostly female (85%). They were immersed in a virtual environment incidentally exposing them to preventive posters or in an environment without any preventive posters. Their gaze was eye-tracked during the entire procedure.

Results: Results indicate that incidental exposure to preventive antitobacco posters, relative to no posters, led to more favorable attitudes toward tobacco. Incidental exposure to posters did not impact their explicit memorization. No significant effect was found on craving.

Conclusions: We advise health campaign designers to consistently evaluate campaigns before launching them as incidental antitobacco messages may inadvertently soften attitudes toward smoking.