识别基于人工智能的健身应用程序中的行为改变技术:内容分析。

IF 2.7 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Health Education & Behavior Pub Date : 2024-08-01 Epub Date: 2023-12-06 DOI:10.1177/10901981231213586
Hakan Kuru
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引用次数: 0

摘要

在基于人工智能的健身应用程序领域,行为改变技术(BCT)的有效整合对于促进体育锻炼和改善健康状况至关重要。然而,应用程序采用的具体 BCTs 及其对用户参与和行为改变的影响尚未得到充分探讨。本研究采用混合方法对 Freeletics 健身应用程序进行了调查,以评估 BCTs 的使用情况。在定量分析中,根据行为改变技术分类标准(V1)确定了 15 种独特的 BCT。在定性分析中,对用户评论(人数=400)进行了研究,以了解用户对该应用程序在促进行为改变方面的有效性的看法。目标设定、行动规划、行为自我监控和社会支持是 Freeletics 应用程序中最常见的 BCT,用户评论也强调了它们在提高用户参与度和促进行为改变方面的有效性。研究中发现的需要改进的地方包括需要简化个性化选项和解决用户对反馈具体性的担忧。这项研究强调了在基于人工智能的健身应用程序中有效整合 BCT 对推动用户参与和促进行为改变的重要性。它为健身应用程序中 BCT 的设计和实施提供了宝贵的见解,并为开发人员提供了建议,强调了目标设定、反馈机制、自我监控和社会支持的重要性。通过了解特定 BCT 对用户行为的影响并解决用户关心的问题,开发人员可以创建更有效的健身应用程序,最终促进更健康的生活方式和积极的行为改变。
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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.

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来源期刊
Health Education & Behavior
Health Education & Behavior PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
8.60
自引率
2.40%
发文量
75
期刊介绍: Health Education & Behavior is the official publication of the Society for Public Health Education (SOPHE). The journal publishes authoritative and practical information on critical health issues for a broad range of professionals interested in understanding factors associated with health behavior and health status, and strategies to improve social and behavioral health. The journal is interested in articles directed toward researchers and/or practitioners in health behavior and health education. Empirical research, case study, program evaluation, literature reviews, and articles discussing theories are regularly published.
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