Publications

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

In this work, we combine two input modalities to create a multimodal-μ EMA system, allowing participants to choose between speech or touch input to self-report physical activity and posture information. This paper reports on feasibility and usability of the multimodal system based on field testing with 20 participants.

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

Detecting Sleep Disruptions in Adolescents Using Context-Sensitive Ecological Momentary Assessment: A Feasibility Study

Published in Pervasive Computing Technologies for Healthcare. PervasiveHealth 2024. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering., 2024

In this work we explored the feasibility of using a context-sensitive EMA system to understand causes of sleep disruptions in adolescents based on sensor data from a smartwatch and environmental sensors.

Recommended citation: Rithika Lakshminarayanan, Arushi Uppal, Ha Le, James C. Spilsbury, Stephen Intille. (2024). "Detecting Sleep Disruptions in Adolescents Using Context-Sensitive Ecological Momentary Assessment: A Feasibility Study; Pervasive Computing Technologies for Healthcare. PervasiveHealth 2024. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering . Vol 611. https://doi.org/10.1007/978-3-031-85572-6_20

Collecting Self-reported Physical Activity and Posture Data Using Audio-based Ecological Momentary Assessment

Published in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2024

This paper explores the use of an audio based EMA 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, Rithika Lakshminarayanan, Jixin Li, Varun Mishra, Stephen Intille. (2024). "Collecting Self-reported Physical Activity and Posture Data Using Audio-based Ecological Momentary Assessment." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 8(3). https://doi.org/10.1145/3678584

Potential of social engagement for overcoming barriers to physical activity in individuals with spinal cord injury

Published in Archives of Physical Medicine and Rehabilitation, 2023

This paper qulaitively reports exploratory work on leveraging social connections to support individuals with spinal cord injury in increasing their physical activity levls.

Recommended citation: Alexandra Canori, Rithika Lakshminarayanan, Melissa Nunn, Mary Schmidt-Read, Stephen S Intille, Shivayogi V Hiremath. (2023). "Engaging Social Connections to Promote Physical Activity in Individuals with Spinal Cord Injury." Journal of Rehabilitation and Assistive Technologies Engineering. 10(1). https://doi.org/10.1177/20556683231185755

Exploring Opportunities to Improve Physical Activity in Individuals with Spinal Cord Injury Using Context-Aware Messaging

Published in Proceedings of the ACM on Human-Computer Interaction, 2022

This paper qualitatively explores the use of context-aware messaging to support individuals with spinal cord injury in increasing their physical activity levls.

Recommended citation: Rithika Lakshminarayanan, Alexandra Canori, Aditya Ponnada, Melissa Nunn, Mary Schmidt Read, Shivayogi V Hiremath, Stephen Intille. (2022). "Exploring Opportunities to Improve Physical Activity in Individuals with Spinal Cord Injury Using Context-Aware Messaging." Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2). https://doi.org/10.1145/3555628