2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (2013)
Sept. 2, 2013 to Sept. 5, 2013
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ACII.2013.48
Erin A. Carroll , Comput. Sci., Univ. of Rochester, Rochester, NY, USA
Mary Czerwinski , Microsoft Res., Redmond, WA, USA
Asta Roseway , Microsoft Res., Redmond, WA, USA
Ashish Kapoor , Microsoft Res., Redmond, WA, USA
Paul Johns , Microsoft Res., Redmond, WA, USA
Kael Rowan , Microsoft Res., Redmond, WA, USA
M. C. Schraefel , Univ. of Southampton, Southampton, UK
Behavior modification in health is difficult, as habitual behaviors are extremely well-learned, by definition. This research is focused on building a persuasive system for behavior modification around emotional eating. In this paper, we make strides towards building a just-in-time support system for emotional eating in three user studies. The first two studies involved participants using a custom mobile phone application for tracking emotions, food, and receiving interventions. We found lots of individual differences in emotional eating behaviors and that most participants wanted personalized interventions, rather than a pre-determined intervention. Finally, we also designed a novel, wearable sensor system for detecting emotions using a machine learning approach. This system consisted of physiological sensors which were placed into women's brassieres. We tested the sensing system and found positive results for emotion detection in this mobile, wearable system.
Stress, Mobile handsets, Sensor systems, Mobile communication, Electrocardiography, Biomedical monitoring
E. A. Carroll et al., "Food and Mood: Just-in-Time Support for Emotional Eating," 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction(ACII), Geneva Switzerland, 2014, pp. 252-257.