Poster Title

Opportunities and Challenges in Designing Participant-Centric Smoking Cessation System

Research Mentor(s)

Moushumi Sharmin

Affiliated Department

Computer Sciences

Sort Order

46

Start Date

18-5-2017 12:00 PM

End Date

18-5-2017 3:00 PM

Document Type

Event

Abstract

Smoking is still one of the most challenging behavioral health problems in modern society; successful cessation rate remains low. 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 as such were prone to recall bias. We believe that the first step in designing effective smoking cessation systems is to objectively identify factors that contribute to lapse. In our research, to gain understanding of lapse and factors contributing to lapse, we collected and analyzed physiological data utilizing wearable sensors from a four day pre-quit, post-quit study (N=55). In addition, we collected and analyzed self-report measures (n=3120), which offer rich contextual information about users’ social, emotional, geographical, and physiological conditions. Analysis of the data informed the design of a participant-centric cessation support system, MyQuitPal, which aims to assist individuals to gain better understanding about their smoking history and pattern. The design of MyQuitPal is also grounded on theories of long term health behavior change. We believe the design of MyQuitPal advances our understanding of complexities and opportunities surrounding the design of participant-centric smoking cessation systems.

Comments

Outstanding Poster Award Recipient

Rights

Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this documentation for commercial purposes, or for financial gain, shall not be allowed without the author's written permission.

Language

English

Format

application/pdf

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May 18th, 12:00 PM May 18th, 3:00 PM

Opportunities and Challenges in Designing Participant-Centric Smoking Cessation System

Computer Sciences

Smoking is still one of the most challenging behavioral health problems in modern society; successful cessation rate remains low. 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 as such were prone to recall bias. We believe that the first step in designing effective smoking cessation systems is to objectively identify factors that contribute to lapse. In our research, to gain understanding of lapse and factors contributing to lapse, we collected and analyzed physiological data utilizing wearable sensors from a four day pre-quit, post-quit study (N=55). In addition, we collected and analyzed self-report measures (n=3120), which offer rich contextual information about users’ social, emotional, geographical, and physiological conditions. Analysis of the data informed the design of a participant-centric cessation support system, MyQuitPal, which aims to assist individuals to gain better understanding about their smoking history and pattern. The design of MyQuitPal is also grounded on theories of long term health behavior change. We believe the design of MyQuitPal advances our understanding of complexities and opportunities surrounding the design of participant-centric smoking cessation systems.