微相互作用中的上下文偏差 生态瞬间评估 (μEMA) 没有响应
Aditya Ponnada1, Jixin Li1, Shirlene D Wang2
1Northeastern University, Boston, MA.
概括
智能手表上的微相互作用生态瞬间评估 (μEMA) 显示了更高的响应率. 时间,活动和设备状态等上下文因素显著影响即时不响应,影响数据收集.
科学领域:
- 数字健康数字健康
- 行为科学 行为科学
- 人与计算机的交互
背景情况:
- 生态瞬间评估 (EMA) 通过移动设备收集现场自我报告.
- 微互动EMA (μEMA) 使用单个问题智能手表调查,减少负担和更高的响应率,与智能手机EMA相比.
- 了解μEMA中的非响应偏差对于数据有效性至关重要.
研究的目的:
- 检查与智能手表上的μEMA提示不响应相关的上下文偏差.
- 确定影响μEMA非响应的特定时间,设备使用和活动相关因素.
主要方法:
- 利用了一项纵向研究的数据,该研究涉及131名参与者,他们在智能手表上使用μEMA超过六个月.
- 调查了跨时间,设备使用和活动类别的10个潜在的上下文偏差.
- 采用混合效应逻辑回归来分析与瞬间μEMA不响应的关联.
主要成果:
- 所有检查的时间 (一天的时间,一周的天,等等). ),活动/移动性 (手腕运动,位置) 和设备使用 (屏幕状态,充电状态等). 这些变量显示了与μEMA非响应 (p<0.001) 的统计学上显著的关联.
- 这些因素共同影响参与者对简短的智能手表提示作出反应的可能性.
结论:
- 在智能手表上,上下文因素显著影响了μEMA不响应.
- 未来的研究应该考虑这些偏见,以开发情境意识的μEMA方法.
- 这种理解可以提高通过基于可穿戴设备的EMA收集的数据的准确性和可靠性.
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