Feasibility and Utility of Multimodal Micro Ecological Momentary Assessment on a Smartwatch

要旨

𝜇EMAs allow participants to answer a short survey quickly with a tap on a smartwatch screen or a brief speech input. The short interaction time and low cognitive burden enable researchers to collect self-reports at high frequency (once every 5-15 minutes) while maintaining participant engagement. Systems with single input modality, however, may carry different contextual biases that could affect compliance. We combined two input modalities to create a multimodal-𝜇EMA system, allowing participants to choose between speech or touch input to self-report. To investigate system usability, we conducted a 7-day field study where we asked 20 participants to label their posture and/or physical activity once every five minutes throughout their waking day. Despite the intense prompting interval, participants responded to 72.4% of the prompts. We found participants gravitated towards different modalities based on personal preferences and contextual states, highlighting the need to consider these factors when designing context-aware multimodal 𝜇EMA systems.

著者
Ha Le
Northeastern University, Boston, Massachusetts, United States
Veronika Potter
Northeastern University, Boston, Massachusetts, United States
Rithika Lakshminarayanan
Northeastern University, Boston, Massachusetts, United States
Varun Mishra
Northeastern University, Boston, Massachusetts, United States
Stephen Intille
Northeastern University, Boston, Massachusetts, United States
DOI

10.1145/3706598.3714086

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714086

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Well-being and Data Tracking

G414+G415
5 件の発表
2025-04-30 23:10:00
2025-05-01 00:40:00
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