Feasibility and Utility of Multimodal Micro Ecological Momentary Assessment on a Smartwatch
Published in Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025
Recommended citation: Ha Le, Veronika Potter, Rithika Lakshminarayanan, Varun Mishra, Stephen Intille. (2025). "Feasibility and Utility of Multimodal Micro Ecological Momentary Assessment on a Smartwatch." Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. CHI 25. https://doi.org/10.1145/3706598.3714086
This paper uses a mixed-methods approach to understand the usability of a multimodal uEMA system to collect self-reported labels for physical activity data from users to deal with the labeling problem in machine learning.
Recommended citation: Ha Le, Veronika Potter, Rithika Lakshminarayanan, Varun Mishra, Stephen Intille. (2025). “Feasibility and Utility of Multimodal Micro Ecological Momentary Assessment on a Smartwatch.” Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. CHI 25.