开发一个个性化的对话健康代理来增强盲人和视力低下的人的体育活动
Soyoung Choi1, JooYoung Seo2, Ashwath Krishnan3
1Department of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
mHealth
|August 4, 2025
概括
这项研究开发了个性化和对话式健康代理 (PCHA) 应用程序,利用大型语言模型 (LLM) 支持盲人和视力低下者 (BLV) 通过语音命令管理体育活动 (PA) 和健康数据.
科学领域:
- 移动健康 (mHealth) 服务提供商
- 人与计算机的互动.
- 可访问性研究可访问性研究
背景情况:
- 传统的mHealth应用程序对盲人和视力低下者 (BLV) 构成挑战,因为它们依赖触摸手势和视觉数据.
- 这些局限性可能会降低动力,并阻碍BLV社区采用mHealth技术进行健康管理.
- 个性化和对话式健康代理 (PCHA) 是为了解决这些障碍而开发的.
研究的目的:
- 开发一个可访问的mHealth应用程序,PCHA,为BLV个人量身定制.
- 为了实现身体活动 (PA) 和健康数据的自我监测和管理.
- 为了利用一个大型语言模型 (LLM) 实现一个包容性,语音控制的界面.
主要方法:
- 基于社会认知理论和需求评估研究的设计PCHA.
- 在iPhone和Apple Watch上通过语音用户界面 (VUI) 集成了一个对话性健康代理的LLM.
- 进行了基于证据的PA指导的文献审查,并利用盲人专家的可访问性测试.
主要成果:
- 开发了具有高对比度,大按和简单布局的可访问的UI设计.
- 实现的功能包括语音健康访谈,PA建议,对话聊天和触觉反提醒.
- 在运动模式提供关键健康指标的听觉更新;整体移动可访问性是令人满意的.
结论:
- 需要对BLV参与者进行进一步的研究和后续研究,以完善PCHA的可访问性和功能.
- 在mHealth系统中利用LLM需要进一步的研究,以有效地激励BLV人群中的PA行为.
- 未来的mHealth应用程序开发应纳入BLV特定的数据和背景因素,以提供个性化的PA反.
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