Opportunities and Challenges in Designing Participant-Centric Smoking Cessation System

Moushumi Sharmin, Theodore Weber, Hillol Sarker, N. Saleheen, Santosh Kumar, S. Ahmed, Mustafa Alabsi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

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 languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE 41st Annual Computer Software and Applications Conference, COMPSAC 2017
EditorsClaudio 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
PublisherIEEE Computer Society
Pages835-844
Number of pages10
ISBN (Electronic)9781538603673
DOIs
StatePublished - Sep 7 2017
Externally publishedYes
Event41st IEEE Annual Computer Software and Applications Conference, COMPSAC 2017 - Torino, Italy
Duration: Jul 4 2017Jul 8 2017

Publication series

NameProceedings - International Computer Software and Applications Conference
Volume1
ISSN (Print)0730-3157

Other

Other41st IEEE Annual Computer Software and Applications Conference, COMPSAC 2017
Country/TerritoryItaly
CityTorino
Period7/4/177/8/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Ecological Momentary Assessment
  • Lapse
  • Physiological Data
  • Smoking Cessation
  • Visualization

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