深呼吸在你的手:设计和评估一个DTx移动应用程序
Harim Jeong1,2, Joo Hun Yoo2,3, Michelle Goh1
1Department of Interaction Science, SungKyunKwan University, Seoul, South Korea.
Frontiers in digital health
|February 13, 2024
概括
这项研究利用游戏化设计和机器学习优化了数字治疗 (DTx) 中的深呼吸练习. 干预组显示显著降低了压力和改善了用户参与度,突出了DTx在精神卫生保健中的潜力.
科学领域:
- 数字治疗学数字治疗学
- 心理健康护理 心理健康护理
- 移动健康服务提供者
背景情况:
- 数字疗法 (DTx) 在精神卫生保健中提供了可访问的解决方案.
- 深呼吸是心理健康管理的一个关键技术.
- 为深呼吸优化DTx需要创新的设计和参与策略.
研究的目的:
- 在移动数字治疗 (DTx) 平台中优化深呼吸练习.
- 开发一个游戏化和负担能力驱动的设计,用于直观的呼吸控制.
- 通过个性化机器学习驱动的生物反可视化来增强用户参与度.
主要方法:
- 开发了一个游戏化和负担能力驱动的DTx移动平台.
- 机器学习驱动的Mel频率头系数 (MFCC) 被用于个性化生物反.
- 70名参与者被分为对照组和干预组,评估心率变化 (HRV) 和用户体验.
主要成果:
- 干预组在HRV中显示了NN区间标准偏差 (SDNN) 的显著稳定,这表明压力减轻.
- 干预组的使用者报告说,感知到的乐趣增加了22%,积极态度增加了10.69%.
- 与现有方法相比,DTx解决方案的效率和用户体验优于现有方法,尽管存在技术挑战.
结论:
- 开发的DTx解决方案有效地减少了压力,并通过优化深呼吸练习来增强心理健康.
- 游戏化设计和基于MFCC的个性化生物反显著提高了用户参与度和对DTx的积极态度.
- 以用户为中心的机器学习技术显示出在推进移动精神卫生保健解决方案方面有很大的潜力.
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