FEEL: frequent EDA and event logging -- a mobile social interaction stress monitoring system

Authors:
Yadid Ayzenberg;Javier Hernandez Rivera;Rosalind Picard
Affiliations:
MIT Media Lab, Cambridge, Cambridge, Massachusetts, USA;MIT Media Lab, Cambridge, Cambridge, Massachusetts, USA;MIT Media Lab, Cambridge, Massachusetts, USA
Venue:
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Year:
2012

Citing 7
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Abstract

This work proposes a system for the automatic annotation and monitoring of cell phone activity and stress responses of users. While mobile phone applications (e.g., e mail, voice, calendar) are used to non-intrusively extract the context of social interactions, a non-intrusive and comfortable biosensor is used to measure the electrodermal activity (EDA). Then, custom stress recognition software analyses the streams of data in real-time and associates stress levels to each event. Both contextual data and stress levels are aggregated in a searchable journal where the user can reflect on his/her physiological responses.