基于ChatGPT的应用程序支持体育活动的可行性和可用性:试点研究
Dillys Larbi1,2, Paolo Zanaboni1, Eirik Årsand1,3
1Norwegian Centre for E-health Research, Tromsø, Norway.
Digital health
|February 2, 2026
概括
一项针对肥胖成年人的FysBot应用程序的试点研究发现可用性和参与度较低. 未来的版本需要个性化和共同设计,以提高体育活动推广的有效性.
科学领域:
- 数字健康数字健康
- 行为科学 行为科学
- 肥胖管理 肥胖管理
背景情况:
- FysBot是一款使用ChatGPT的移动应用程序,旨在鼓励肥胖成年人进行体育活动.
- 为了评估FysBot应用程序的可行性和可用性,进行了一项试点研究.
研究的目的:
- 评估基于ChatGPT的移动应用程序 (FysBot) 的可行性和可用性,以促进肥胖成年人的体力活动.
- 探索用户体验,并确定应用程序设计和功能需要改进的领域.
主要方法:
- 一项为期6周的单臂试点研究,涉及来自肥胖康复诊所的参与者.
- 混合方法方法结合问卷 (例如,GODIN,RAI,SEE,SUS) 和半结构面试.
- 定量数据以描述性分析;定性数据以主题性分析.
主要成果:
- 应用程序参与度在第二周后显著下降,系统可用性量表 (SUS) 的得分低于平均值,为51.3.3.
- 观察到体力活动 (GODIN) 和整体动机 (RAI) 的小而无意义的增加.
- 质量反表明对激励方面的赞赏,但强调了技术问题和缺乏个性化.
结论:
- 基于ChatGPT的FysBot应用程序显示出潜力,但需要显著的改进,以有效地促进肥胖成年人的体育活动.
- 未来的开发应该优先考虑代的共同设计,增强的个性化和改进的指导,以提高用户参与度和相关性.
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