Dear guest, welcome to this publication database. As an anonymous user, you will probably not have edit rights. Also, the collapse status of the topic tree will not be persistent. If you like to have these and other options enabled, you might ask Admin (Ivan Eggel) for a login account.
 [BibTeX] [RIS]
Going beyond the relapse peak on social networks smoking cessation programs: ChatBot opportunities
Type of publication: Article
Citation:
Journal: Swiss Medical Informatics
Year: 2017
Month: September
Abstract: Research Question A social network program called «J’arrête de fumer» has been set-up in 2016 in the 6 French-speaking cantons of Switzerland. It consists of Facebook groups where people synchronize on a date to quit smoking. A peak of relapse appears during the first three weeks of the program. This research aims to explore the feasibility to build a Chatbot to help people to overtake this peak in the future iterations of the program. Methods It has been shown that the urge to smoke may be one of the reason of the smoking relapse. Being able to distract users from the idea of smoking during these phases would help them to overtake these three first weeks. Due to the large number of participants, a human intervention within the craving time frame is difficult to achieve, and such constraint would be easier to address with ChatBots. Result A ChatBot for the Telegram platform has been developed. It offers five different modules to overtake the time frame where the urge to smoke is maximal. Some of these modules, such as motivating comments and informational facts, are already quite used but some others are less widely explored, like helping scientific research by classifying images or such as putting people in touch for distracting them from smoking urge. Conclusion ChatBots offer interesting opportunities for helping smoking cessation communities, as they would help participants during craving time frames and would be able to handle the large number of participants.
Keywords: Cessation, ChatBot, Smoking, Social Networks
Authors Dubosson, Fabien
Schaer, Roger
Savioz, Roland
Schumacher, Michael
Added by: []
Total mark: 0
Attachments
  • paper.pdf
Notes
    Topics