Abstract
Smoking is one of the most challenging behavioral health problems. In the past, failed quit attempts have been attributed to factors including stress, presence of smoking cues, and negative affect-most of which were self-reported and prone to recall-bias. The first step in designing effective smoking cessation systems is to objectively identify factors that contribute to lapse. In our research, we collected physiological data utilizing wearable sensors from a four day pre-quit, post-quit study (N=55). We also collected self-report measures (n=3120), which offer rich contextual information about users' social, emotional, geographical, and physiological conditions. Analysis of collected data informed the design of MyQuitPal, a participant-centric cessation support system, which aims to assist individuals to better understand their smoking behavior. The design of MyQuitPal is also grounded on theories of long term health-behavior change. We believe our research advances understanding of complexities and opportunities surrounding the design of smoking cessation systems.
Original language | English (US) |
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Title of host publication | Proceedings - 2017 IEEE 41st Annual Computer Software and Applications Conference, COMPSAC 2017 |
Editors | Claudio Demartini, Thomas Conte, Motonori Nakamura, Chung-Horng Lung, Zhiyong Zhang, Kamrul Hasan, Sorel Reisman, Ling Liu, William Claycomb, Hiroki Takakura, Ji-Jiang Yang, Edmundo Tovar, Stelvio Cimato, Sheikh Iqbal Ahamed, Toyokazu Akiyama |
Publisher | IEEE Computer Society |
Pages | 835-844 |
Number of pages | 10 |
ISBN (Electronic) | 9781538603673 |
DOIs | |
State | Published - Sep 7 2017 |
Externally published | Yes |
Event | 41st IEEE Annual Computer Software and Applications Conference, COMPSAC 2017 - Torino, Italy Duration: Jul 4 2017 → Jul 8 2017 |
Publication series
Name | Proceedings - International Computer Software and Applications Conference |
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Volume | 1 |
ISSN (Print) | 0730-3157 |
Other
Other | 41st IEEE Annual Computer Software and Applications Conference, COMPSAC 2017 |
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Country/Territory | Italy |
City | Torino |
Period | 7/4/17 → 7/8/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- Ecological Momentary Assessment
- Lapse
- Physiological Data
- Smoking Cessation
- Visualization