从多式传感器流中建模的生产力和生物行为节奏之间的联系:探索性定量研究
Runze Yan1, Xinwen Liu2, Janine M Dutcher2
1University of Virginia, Charlottesville, VA, United States.
JMIR AI
|June 14, 2024
概括
稳定的生物行为节奏与更高的生产力有关. 这项研究从移动数据中建模了节奏,发现更高的节奏稳定与提高生产率相关,为网络人类系统提供了洞察力.
科学领域:
- 人与计算机的互动.
- 时间生物学 时间生物学
- 数字化表型化是指数字化表型化.
背景情况:
- 生物行为节奏,包括生物,行为和心理社会循环,对健康至关重要.
- 这些节律的干扰与睡眠障碍,肥胖和抑郁症等健康问题有关.
研究的目的:
- 研究生产力和生物行为节奏之间的关系.
- 通过被动收集的移动数据流来建模这些节奏.
主要方法:
- 在16周内利用了来自188名大学生的多式联机移动传感数据集.
- 从智能手机和Fitbits收集了自我评估的生产力得分和传感器数据.
- 建模了周期性行为模式,并分析了与生产率相关的节奏稳定性.
主要成果:
- 具有更高生物行为节律稳定的学生报告了更高的生产力.
- 在24小时期间,生产率和阶段 (SE) 的标准误差之间发现了负相关性,这表明较高SE的稳定性较低.
结论:
- 生物行为节律建模可以量化和预测生产力.
- 研究结果支持开发与人类节奏同步的网络人类系统,以提高福祉和表现.
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