Time to Work Out! Examining the Behavior Change Techniques and Relevant Theoretical Mechanisms that Predict the Popularity of Fitness Mobile Apps with Chinese-Language User Interfaces

Identifying Behavior Change Techniques in an Artificial Intelligence-Based Fitness App: A Content Analysis

In the field of artificial intelligence-based fitness apps, the effective integration of behavior change techniques (BCTs) is critical for promoting physical activity and improving health outcomes. However, the specific BCTs employed by apps and their impact on user engagement and behavior change are not explored sufficiently. This study investigates the Freeletics fitness app through a mixed-methods approach to evaluate the use of BCTs. In the quantitative analysis, fifteen unique BCTs were identified based on the Behavior Change Technique Taxonomy (V1). In the qualitative analysis, user reviews (n=400) were examined to understand perspectives on the app's effectiveness in promoting behavior change. Goal setting, action planning, self-monitoring of behavior, and social support were among the most prevalent BCTs identified in the Freeletics app, and their effectiveness in enhancing user engagement and promoting behavior change was also highlighted by user reviews. Among the areas of improvement identified in the study were the need for simplifying personalization options and addressing user concerns regarding the specificity of feedback. The study underscores the importance of integrating BCTs effectively within AI-based fitness apps to drive user engagement and facilitate behavior change. It contributes valuable insights into the design and implementation of BCTs in fitness apps and offers recommendations for developers, emphasizing the significance of goal setting, feedback mechanisms, self-monitoring, and social support. By understanding the impact of specific BCTs on user behavior and addressing user concerns, developers can create more effective fitness apps, ultimately promoting healthier lifestyles and positive behavior change.

Promoting a healthy lifestyle: exploring the role of social media and fitness applications in the context of social media addiction risk

The popularity of social networks turns them into a legal method for promoting a healthy lifestyle, which benefits not only people but also different countries' governments. This research paper aimed to examine the Keep fitness app integrated into WeChat, Weibo and QQ as regards long-term improvements in health-related behaviors (physical activity, nutrition, health responsibility, spiritual growth, interpersonal relationships and stress management) and assess the associated risk of increased social media addiction. Students from Lishui University in China (N = 300) participated in this study, and they were formed into control and experimental groups. The Healthy Lifestyle Behavior Scale and Social Media Disorder Scale were used as psychometric instruments. The Keep app was found to improve respondents' scores on the parameters of physical activity, nutrition and health responsibility (P = 0.00). However, the level of dependence on social media did not change in either the control or the experimental group during the year of research (P ≥ 0.05). It is concluded that fitness apps can be an effective tool to promote healthy lifestyles among young people in China and other countries. The feasibility of government investment in fitness apps to promote healthy lifestyles is substantiated.

Whether and how will using social media induce social anxiety? The correlational and causal evidence from Chinese society

Background

Prior literature has well established the relationship between social media use and social anxiety, but little attention has been paid to the underlying mechanisms. Additionally, the causal evidence concerning the effect of social media use on social anxiety is scarce.

Objective

Given that, two studies were conducted to examine the effect of social media use on social anxiety and the underlying mechanisms.

Methods and results

In Study 1, with 470 undergraduates as participants, we applied the questionnaire survey to investigate the relationship between social media use and social anxiety. The results showed that higher social media use intensity was significantly related to higher social anxiety, and social media use was related to social anxiety via two possible mediation paths: (1) social media use → upward social comparison → social anxiety, (2) and social media use → upward social comparison → self-esteem → social anxiety. In Study 2, with 180 undergraduates as participants, we conducted a lab experiment, in which participants were assigned to the experimental (exposed to the content that undergraduates frequently access on social media) or control (exposed to landscape documentaries) condition, and then measured their upward social comparison, self-esteem and social anxiety. The results showed that participants in the experimental condition reported higher social anxiety than those in the control condition, demonstrating the causality between social media exposure and social anxiety. The subsequent mediation analysis basically replicated the findings of Study 1. That is, upward social comparison played the mediating role between social media exposure and social anxiety, and upward social comparison and self-esteem played the chain-mediating role between them.

Conclusion

The current research firstly demonstrated the causality between social media use and social anxiety in Chinese society, and also revealed the mediating mechanisms between them, which would deepen our understanding of how social media use will increase social anxiety.

The Moderation Role of AI-Enabled Service Quality on the Attitude Toward Fitness Apps

Artificial intelligent technology is rapidly transforming the fitness apps landscape by applying data mining technologies within given parameters. These wide-ranging AI-enabled services improve user interface and enhance customers' experience when exercising with the fitness apps. The current study integrated the four antecedents—technological functions, intrinsic information quality, perceived enjoyment, and social connection—to investigate the moderating influence of AI-enabled service quality on users' attitude toward physical activity. PLS-SEM was used to analyze and validate a sample of 170 participants. The findings posited that individuals' attitude toward physical activity is encouraged by the (1) technological functions (2) intrinsic information quality, and (3) perceived enjoyment. Further, the moderating role of AI-enabled service positively influencing the attitude toward physical activity with technological functions was also established.

Uncovering the Heterogeneity in Fitness App Use: A Latent Class Analysis of Chinese Users

This study examines fitness app use patterns and their correlates among Chinese users from the perspectives of uses and gratification theory and self-determination theory. Our sample comprised 632 users of WeRun, the fitness plugin of WeChat, the largest Chinese mobile social networking app; participants completed an online survey and provided self-tracked physical activity data, which were subjected to latent class analysis. Based on the four-class latent class model (which yielded the best model fit and the most interpretable results), 30.5%, 27.5%, 24.7%, and 17.3% of the users were categorized as light users, reward-oriented users, lifestyle-oriented users, and interaction-oriented users, respectively. Moreover, class membership was associated with gender, age, education, income, life satisfaction, autonomy, and platform-based motivations. There is a significant heterogeneity in fitness app use and exercise behaviors. Platform-based motivations and autonomy are important classification factors, as users are looking for specific kinds of gratification from their use of fitness apps. Demographics and individual characteristics are also explanatory factors for class membership. The study findings suggest that fitness app designers should segment users based on motivation and gratification.

Improving Body Satisfaction Through Fitness App Use: Explicating the Role of Social Comparison, Social Network Size, and Gender

Body dissatisfaction is prevalent worldwide, fueling the highly lucrative diet and plastic surgery industry, with many adverse outcomes. Yet, limited attention has been dedicated to noninvasive interventions that effectively enhance body satisfaction. We argue that, by altering the target of the social comparison process, people can shift their focus from body appearance to physical activity level. The present study investigated whether social comparison in terms of physical activity level provided by fitness apps could affect users' body satisfaction. A survey was conducted with 643 users of WeRun, the Chinese leading mobile fitness app. Subsequent analyses revealed that both upward and downward social comparison mediated the positive relationship between fitness app use and body satisfaction. Moreover, the users' social network size and gender played a moderating role in the social comparison processes. Fitness app use was positively related to downward comparison for male users; social network size moderated the relationship between fitness app use and upward comparison for female users. The utility of fitness apps in mitigating body dissatisfaction is also discussed.

Does Warm Glow Promote Physical Activity? Examining the Relative Effectiveness of Self-Benefiting versus Other-Benefiting Incentives in Motivating Fitness App Use by Corporate Sponsorship Programs

Despite an essential step in the self-regulation process, the feature of offering rewards - in particular, offering tangible rewards - is underdeveloped in most fitness mobile apps. The present study addressed this issue by harnessing the contributions of corporations in the form of providing incentives to fitness app users as part of their corporate social responsibility initiatives. This study investigated the dual mechanisms through which incentive type and functional congruence shape consumers' intention to use a fitness app and their attitudes toward the sponsor, respectively. Through a 2 (self-benefiting vs. other-benefiting incentives) by 2 (low vs. high congruence) experiment, this study found that when using other-benefiting incentives, incentives provided by high-congruence sponsors elicited more favorable attitude toward the incentive than those provided by low-congruence sponsors and, in turn, increased users' propensity to use the app. But this indirect effect was not in play when using self-benefiting incentives. From the sponsor's perspective, in the low-congruence condition, other-benefiting incentives were more effective in leading users to attribute altruistic motives to the sponsorship, resulting in more favorable attitudes toward the sponsor; however, the mediating mechanism failed to operate under the high-congruence condition. Taken together, this research shed light on the mediating mechanisms and boundary conditions of strategies of partnering sponsorship with fitness apps, making this type of partnership a win-win initiative for both the app users and the corporations involved.

Understanding and Predicting the Adoption of Fitness Mobile Apps: Evidence from China

Increasing global interest in diet and fitness mobile applications (apps) has prompted the question: What are the factors affecting users' adoption and usage behaviors on a specific fitness app? By combining the unified theory of acceptance and use of technology (UTAUT) with the health belief model (HBM), and including risk perception of information technology with the farsighted planner and myopic doer from the theory of self-control, we explore the understanding of this academic question. We analyzed data from 8,840 users of Boohee, a diet and fitness app (ranked first in the weight-loss category on the App Store in China). Structural equation modeling revealed that self-efficacy as well as the perceived benefits, barriers, and threats of weight loss significantly influence a fitness app's performance expectancy, which, in turn, predicts users' intention to adopt it. Furthermore, actual usage behavior (i.e., diet, exercise, weight, and login records within 30 days after respondents completed the questionnaire) is positively affected by weight-loss intention and behavioral intention to use the app and negatively affected by users' risk perception. The main findings of this research could help healthcare practitioners and app developers find better ways to encourage people to adopt health apps for various reasons. App developers should attach more importance to users' actual continuous use behavior than to their intention to use an app. They should provide sufficient introductory information about their apps, thereby reducing users' risk perception and generating reasonable performance expectancy of the app, so as to improve users' actual continuous use behavior.