Feasibility and Acceptability of an Internet of Things-Enabled Sedentary Behavior Intervention: Mixed Methods Study.

BACKGROUND: Encouraging office workers to break up prolonged sedentary behavior (SB) at work with regular microbreaks can be beneficial yet challenging. The Internet of Things (IoT) offers great promise for delivering more subtle and hence acceptable behavior change interventions in the workplace. We previously developed an IoT-enabled SB intervention, called WorkMyWay, by applying a combination of theory-informed and human-centered design approaches. According to the Medical Research Council's framework for developing and evaluating complex interventions such as WorkMyWay, process evaluation in the feasibility phase can help establish the viability of novel modes of delivery and identify facilitators and barriers to successful delivery. OBJECTIVE: This study aims to evaluate the feasibility and acceptability of the WorkMyWay intervention and its technological delivery system. METHODS: A mixed methods approach was adopted. A sample of 15 office workers were recruited to use WorkMyWay during work hours for 6 weeks. Questionnaires were administered before and after the intervention period to assess self-report occupational sitting and physical activity (OSPA) and psychosocial variables theoretically aligned with prolonged occupational SB (eg, intention, perceived behavioral control, prospective memory and retrospective memory of breaks, and automaticity of regular break behaviors). Behavioral and interactional data were obtained through the system database to determine adherence, quality of delivery, compliance, and objective OSPA. Semistructured interviews were conducted at the end of the study, and a thematic analysis was performed on interview transcripts. RESULTS: All 15 participants completed the study (attrition=0%) and on average used the system for 25 tracking days (out of a possible 30 days; adherence=83%). Although no significant change was observed in either objective or self-report OSPA, postintervention improvements were significant in the automaticity of regular break behaviors (t14=2.606; P=.02), retrospective memory of breaks (t14=7.926; P<.001), and prospective memory of breaks (t14=-2.661; P=.02). The qualitative analysis identified 6 themes, which lent support to the high acceptability of WorkMyWay, though delivery was compromised by issues concerning Bluetooth connectivity and factors related to user behaviors. Fixing technical issues, tailoring to individual differences, soliciting organizational supports, and harnessing interpersonal influences could facilitate delivery and enhance acceptance. CONCLUSIONS: It is acceptable and feasible to deliver an SB intervention with an IoT system that involves a wearable activity tracking device, an app, and a digitally augmented everyday object (eg, cup). More industrial design and technological development work on WorkMyWay is warranted to improve delivery. Future research should seek to establish the broad acceptability of similar IoT-enabled interventions while expanding the range of digitally augmented objects as the modes of delivery to meet diverse needs.

The influence of the COVID-19 pandemic on the adoption and impact of AI ChatGPT: Challenges, applications, and ethical considerations.

DESIGN/METHODOLOGY/APPROACH: This article employs qualitative thematic modeling to gather insights from 30 informants. The study explores various aspects related to the impact of the COVID-19 pandemic on AI ChatGPT technologies. PURPOSE: The purpose of this research is to examine how the COVID-19 pandemic has influenced the increased usage and adoption of AI ChatGPT. It aims to explore the pandemic's impact on AI ChatGPT and its applications in specific domains, as well as the challenges and opportunities it presents. FINDINGS: The findings highlight that the pandemic has led to a surge in online activities, resulting in a heightened demand for AI ChatGPT. It has been widely used in areas such as healthcare, mental health support, remote collaboration, and personalized customer experiences. The article showcases examples of AI ChatGPT's application during the pandemic. STRENGTH OF STUDY: This qualitative framework enables the study to delve deeply into the multifaceted dimensions of AI ChatGPT's role during the pandemic, capturing the diverse experiences and insights of users, practitioners, and experts. By embracing the qualitative nature of inquiry and this research offers a comprehensive understanding of the challenges, opportunities, and ethical considerations associated with the adoption and utilization of AI ChatGPT in crisis contexts. PRACTICAL IMPLICATIONS: The insights from this research have practical implications for policymakers, developers, and researchers. This reserach emphasize the need for responsible and ethical implementation of AI ChatGPT to fully harness its potential in addressing societal needs during and beyond the pandemic. SOCIAL IMPLICATIONS: The increased reliance on AI ChatGPT during the pandemic has led to changes in user behavior, expectations, and interactions. However, it has also unveiled ethical considerations and potential risks. Addressing societal and ethical concerns, such as user impact and autonomy, privacy and security, bias and fairness, and transparency and accountability, is crucial for the responsible deployment of AI ChatGPT. ORIGINALITY/VALUE: This research contributes to the understanding of the novel role of AI ChatGPT in times of crisis, particularly in the era of COVID-19 pandemic. It highlights the necessity of responsible and ethical implementation of AI ChatGPT and provides valuable insights for the development and application of AI technology in the future.

Exploring the impact of social media on tourist behavior in rural mountain tourism during the COVID-19 pandemic: The role of perceived risk and community participation.

PURPOSE: This research article aims to assess the behavior of tourists in sustainable rural mountain tourism during the COVID-19 pandemic, focusing on the role of social media usage. It investigates the key social media features that influence tourist behavior and introduces the concept of perceived risk as a novel variable within the Technology Acceptance Model (TAM) to deepen our understanding of the relationship between social media use and tourist behavior. DESIGN/METHODOLOGY/APPROACH: The study conducts an extensive literature review and utilizes survey analysis. Three parameters-perception of risk, perception of value, and trust in social media-are employed to measure the impact of influential social media features. Statistical tests are applied to validate the new variable of perceived risk within the TAM. FINDINGS: The study unveils that tourists' perception of risk associated with social media has the most significant influence on their behavior in rural mountain tourism during the pandemic. Additionally, it identifies that active engagement of tourists in online discussions positively affects both tourist behavior and social media usage, emphasizing the importance of community participation. RESEARCH LIMITATIONS/IMPLICATIONS: The research acknowledges limitations, including the need for further validation of the perceived risk variable and the consideration of contextual influences. Future studies should explore additional variables and encompass diverse tourist populations to expand the understanding of social media usage and tourist behavior in rural mountain regions. CONTRIBUTION OF RESEARCH: This research significantly advances the understanding of tourist behavior in sustainable rural mountain tourism during the COVID-19 pandemic by introducing the novel variable of "perceived risk" within the Technology Acceptance Model. The study identifies influential social media features and underscores the positive effects of participatory habits, providing valuable insights for promoting sustainable tourism through targeted social media interventions. PRACTICAL IMPLICATIONS: This research holds significant practical implications for practitioners and policymakers seeking to promote sustainable tourism in rural mountain regions, particularly during the COVID-19 pandemic. The identification of influential social media features and the emphasis on participatory habits among tourists offer actionable insights. Practitioners can leverage these findings to design targeted social media interventions that foster community engagement and enhance tourists' perception of value while mitigating perceived risks. Policymakers can use this information to shape strategies that encourage interactive online platforms, creating a sense of community participation to boost sustainable tourism.

Attachment anxiety and cyberbullying victimization in college students: the mediating role of social media self-disclosure and the moderating role of gender.

Backgrounds and purpose: Cyberbullying is a globally prevalent social problem that threatens the wellbeing of young people. Despite a rising call for more research focused on cyberbullying victims, our understanding of the psychological and behavioral risk factors associated with cyberbullying victimization (CV) remains limited, especially among the Chinese population. However, such information is crucial for identifying potential victims and planning targeted educational and protective interventions. In this paper, we report an empirical investigation into how attachment anxiety (AA), social media self-disclosure (SMSD), and gender interplay with each other to influence CV. Methods: Cross-sectional survey data from 845 Chinese college students (Female = 635, Mage = 18.7) were analyzed in SPSS PROCESS using Haye's macro with the bootstrap method. Results: Our data support a moderated mediation model. First, SMSD partially mediates the positive relationship between AA and CV, which suggests individuals with high AA tend to engage in risky and excessive self-disclosure behavior on social media, which, in turn, expose them to an increased risk of cyberbullying. Second, gender moderates the direct AA-CV path and the second stage of the mediation path, making the effect of AA on CV appear more direct in males (i.e., not mediated by SMSD) and more indirect (i.e., fully mediated through SMSD) in females. Conclusion: The results contribute to an ongoing endeavor to better understand the psychological and behavioral mechanisms underlying CV and develop effective strategies to identify and protect vulnerable individuals.

Psychological resilience in athletes during the COVID-19 pandemic: A qualitative insight.

This study employs a qualitative research methodology to comprehensively investigate the psychological resilience of athletes impacted by the COVID-19 pandemic. Through purposeful sampling, a diverse group of athletes representing various sports, competitive levels, and geographic locations was selected, ensuring a holistic exploration of their experiences. Data collection centered on in-depth interviews, utilizing a semi-structured approach guided by predetermined open-ended questions. Ethical standards were meticulously upheld, with informed consent obtained from all participants, and strict measures in place to safeguard their confidentiality and anonymity. Prior to data collection, pilot testing of interview questions was conducted to enhance their clarity and appropriateness. Subsequently, data analysis involved the meticulous transcription of field-notes and audio-recordings into protocols and transcripts, followed by systematic coding facilitated by qualitative data management software. To enhance research rigor, strategies including reflexivity, member-checking, and collaborative coding were embraced. This comprehensive methodology facilitated a deep and nuanced exploration of athletes' experiences, perceptions, and coping strategies during the pandemic, ultimately contributing valuable insights to the study of psychological resilience in sports. The findings shed light on the challenges athletes faced, the support systems and personal attributes that fostered resilience, and the role of well-being practices like mindfulness and self-care in enhancing psychological resilience. The implications of this research extend to proactive strategies for sports organizations and stakeholders, fostering a culture of resilience, and empowering athletes to thrive in the face of adversity, ultimately promoting their long-term psychological well-being.

Using Internet of Things to Reduce Office Workers' Sedentary Behavior: Intervention Development Applying the Behavior Change Wheel and Human-Centered Design Approach.

BACKGROUND: Sedentary behavior (SB) is associated with various adverse health outcomes. The prevalence of prolonged sitting at work among office workers makes a case for SB interventions to target this setting and population. Everyday mundane objects with embedded microelectronics and ubiquitous computing represent a novel mode of delivering health behavior change interventions enabled by internet of things (IoTs). However, little is known about how to develop interventions involving IoT technologies. OBJECTIVE: This paper reports the design and development of an IoT-enabled SB intervention targeting office workers. METHODS: The process was guided by the behavior change wheel (BCW), a systematic framework for theory-informed and evidence-based development of behavior change interventions, complemented by the human-centered design (HCD) approach. Intervention design was shaped by findings from a diary-probed interview study (n=20), a stakeholder design workshop (n=8), and a series of theoretical mapping and collaborative technical design activities. RESULTS: The resulting intervention named WorkMyWay targets a reduction in office workers' prolonged stationary behaviors at work and an increase in regular breaks by modifying behavioral determinants in 11 theoretical domains with 17 behavior change techniques. The delivery technology consists of a wearable activity tracker, a light-emitting diode reminder device attached to a vessel (ie, water bottle or cup), and a companion Android app connected to both devices over Bluetooth. The delivery plan consists of a 2-week baseline assessment, a 30-min face-to-face action planning session, and 6-week self-directed use of the delivery technology. CONCLUSIONS: This is the first study to demonstrate that it is possible to develop a complex IoT-enabled intervention by applying a combination of the BCW and HCD approaches. The next step is to assess the feasibility of WorkMyWay prior to testing intervention efficacy in a full-scale trial. The intervention mapping table that links individual intervention components with hypothesized mechanisms of action can serve as the basis for testing and clarifying theory-based mechanisms of action in future studies on WorkMyWay.