Food and Mood: Just-in-Time Support for Emotional Eating
Food and Mood: Just-in-Time Support for Emotional Eating
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.
Caroll, Erin
21c56771-e5f9-4f9e-b281-c00bf4d768fb
Czerwinski, Mary
11123423-112d-4b3a-8801-fa9c97511175
Roseway, Asta
f0175ed2-0c31-4110-bf87-f721c4ef290e
schraefel, m.c.
ac304659-1692-47f6-b892-15113b8c929f
2 September 2013
Caroll, Erin
21c56771-e5f9-4f9e-b281-c00bf4d768fb
Czerwinski, Mary
11123423-112d-4b3a-8801-fa9c97511175
Roseway, Asta
f0175ed2-0c31-4110-bf87-f721c4ef290e
schraefel, m.c.
ac304659-1692-47f6-b892-15113b8c929f
Caroll, Erin, Czerwinski, Mary, Roseway, Asta and schraefel, m.c.
(2013)
Food and Mood: Just-in-Time Support for Emotional Eating.
ACII '13 Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, Swiss Confederation, Switzerland.
Record type:
Conference or Workshop Item
(Paper)
Abstract
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.
Text
FoodMood.pdf
- Accepted Manuscript
More information
Published date: 2 September 2013
Venue - Dates:
ACII '13 Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, Swiss Confederation, Switzerland, 2013-09-02
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 360392
URI: http://eprints.soton.ac.uk/id/eprint/360392
PURE UUID: a9f62c84-a4fd-4776-a51d-a2b90ce96da9
Catalogue record
Date deposited: 05 Dec 2013 14:54
Last modified: 15 Mar 2024 03:16
Export record
Contributors
Author:
Erin Caroll
Author:
Mary Czerwinski
Author:
Asta Roseway
Author:
m.c. schraefel
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics