The Tracking Individual Performance with Sensors (TILES) is a project holding multimodal data sets for the analysis of stress, task performance, behavior, and other factors pertaining to professionals engaged in a high-stress workplace environments. Biological, environmental, and contextual data was collected from hospital nurses, staff, and medical residents both in the workplace and at home over time. Labels of human experience were collected using a variety of psychologically validated questionnaires sampled on a daily basis at different times during the day.
The data sets are publicly available and we encourage researchers to use it for data mining and testing their own human behavior models. For full descriptions of the data sets, please refer to the following papers:
Mundnich, K., Booth, B.M., L’Hommedieu, M. et al. TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers. Sci Data 7, 354 (2020). https://doi.org/10.1038/s41597-020-00655-3
Yau, J.C., Girault, B., Feng, T., Mundnich, K., Nadarajan, A., Booth, B.M., Ferrera, E., Lerman, K., Hsieh, E. and Narayanan, S., TILES-2019: A longitudinal physiologic and behavioral data set of medical residents in an intensive care unit. Sci Data 9, 536 (2022). https://doi.org/10.1038/s41597-022-01636-4
If you use either of these data sets, we request that you the corresponding paper in your work.