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
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
We report on the feasibility testing of an in-situ sleep monitoring application that uses passive sensing to drive context-sensitive ecological momentary assessments (EMAs) to help participants recall sleep disruptions when they wake up in the morning. Participants answered over 80% of EMAs delivered during the feasibility study and could recall meaningful reasons for over 40% of noise and motion events when they answered context-sensitive questions presented in the morning EMA.
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.