Hillol Sarker, Allison Tam, et al.
AMIA Annual Symposium
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.
Hillol Sarker, Allison Tam, et al.
AMIA Annual Symposium
Tang Hongyan, Ying Li, et al.
COMPSAC 2017
Yiqi Lu, Jiaqing Liang, et al.
COMPSAC 2017
Hillol Sarker, Murtaza Dhuliawala, et al.
SMM4H 2017