TY - GEN
T1 - Opportunities and Challenges in Designing Participant-Centric Smoking Cessation System
AU - Sharmin, Moushumi
AU - Weber, Theodore
AU - Sarker, Hillol
AU - Saleheen, N.
AU - Kumar, Santosh
AU - Ahmed, S.
AU - Alabsi, Mustafa
PY - 2017/9/7
Y1 - 2017/9/7
N2 - 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.
AB - 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.
KW - Ecological Momentary Assessment
KW - Lapse
KW - Physiological Data
KW - Smoking Cessation
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=85031908923&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85031908923&partnerID=8YFLogxK
U2 - 10.1109/COMPSAC.2017.184
DO - 10.1109/COMPSAC.2017.184
M3 - Conference contribution
AN - SCOPUS:85031908923
T3 - Proceedings - International Computer Software and Applications Conference
SP - 835
EP - 844
BT - Proceedings - 2017 IEEE 41st Annual Computer Software and Applications Conference, COMPSAC 2017
A2 - Demartini, Claudio
A2 - Conte, Thomas
A2 - Nakamura, Motonori
A2 - Lung, Chung-Horng
A2 - Zhang, Zhiyong
A2 - Hasan, Kamrul
A2 - Reisman, Sorel
A2 - Liu, Ling
A2 - Claycomb, William
A2 - Takakura, Hiroki
A2 - Yang, Ji-Jiang
A2 - Tovar, Edmundo
A2 - Cimato, Stelvio
A2 - Ahamed, Sheikh Iqbal
A2 - Akiyama, Toyokazu
PB - IEEE Computer Society
T2 - 41st IEEE Annual Computer Software and Applications Conference, COMPSAC 2017
Y2 - 4 July 2017 through 8 July 2017
ER -