Published on in Vol 12 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/46347, first published
.
Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study
Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study
1 Department of Electrical and Computer Engineering, Rice University, Houston, TX, United States
2 Center For Contextual Psychiatry, Katholieke Universiteit Leuven, Leuven, Belgium
3 Department of Psychology, Health & Technology, University of Twente, Enschede, Netherlands