Stress can have long term adverse effects on individuals’ physical and mental well-being, and there has been a good deal of work in the CHI and UbiComp communities in measuring momentary stress. SESAME, the Stress Experience Sampling and Measurement Experiment, seeks to understand multiple modalities of minimally-instrusive stress sensing measures in real-world environments. In comparing data streams from electrodermal sensors, voice-stress analysis, and several self-report measures (supported by semi-structured interviews), we identify contexts of relative effectiveness for each modality.
Phil Adams, Rifat Rahman, Mashfiqui Rabbi, Amy Voida, Mark Matthews, Steve Voida, Tanzeem Choudhury, and Geri Gay.
Adams, P., Rabbi, M., Rahman, T., Matthews, M., Voida, A., Gay, G., Choudhury, T., and Voida, S. (2014). Towards personal stress informatics: Comparing minimally invasive techniques for measuring daily stress in the wild. Pervasive Computing Technologies for Healthcare. [ ACM | PDF ]
- NSF, NSF GRFP
- Swiss NSF Sinergia
- Intel Science and Technology Center for Pervasive Computing