Fabien Dubosson, Roger Schaer, Roland Savioz, M. Schumacher
{"title":"Going beyond the relapse peak on social network smoking cessation programmes: ChatBot opportunities","authors":"Fabien Dubosson, Roger Schaer, Roland Savioz, M. Schumacher","doi":"10.4414/SMI.33.00397","DOIUrl":null,"url":null,"abstract":"Research question: A social network programme called J’arrete de fumer was set up in 2016 in the six French-speaking cantons of Switzerland. It consists of Facebook groups where people agree on a date to quit smoking. A peak of relapse appears during the first three weeks of the programme. This research aims to explore the feasibility of building a Chatbot to help people to get over this peak in future iterations of the programme. Methods: It has been shown that the urge to smoke may be one of the reasons for relapses. Being able to distract users from the idea of smoking during these phases would help them to get through these three first weeks. Due to the large number of participants, a human intervention within the craving time frame is difficult to achieve, but such a constraint would be easier to overcome with ChatBots. Results: 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 greatest. Some of these modules, such as motivating comments and factual information, are already well used, but some others are less widely explored, like helping scientific research by classifying images or putting people in touch with each other as another form of distraction. 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.","PeriodicalId":156842,"journal":{"name":"Swiss medical informatics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Swiss medical informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4414/SMI.33.00397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
Research question: A social network programme called J’arrete de fumer was set up in 2016 in the six French-speaking cantons of Switzerland. It consists of Facebook groups where people agree on a date to quit smoking. A peak of relapse appears during the first three weeks of the programme. This research aims to explore the feasibility of building a Chatbot to help people to get over this peak in future iterations of the programme. Methods: It has been shown that the urge to smoke may be one of the reasons for relapses. Being able to distract users from the idea of smoking during these phases would help them to get through these three first weeks. Due to the large number of participants, a human intervention within the craving time frame is difficult to achieve, but such a constraint would be easier to overcome with ChatBots. Results: 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 greatest. Some of these modules, such as motivating comments and factual information, are already well used, but some others are less widely explored, like helping scientific research by classifying images or putting people in touch with each other as another form of distraction. 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.
研究问题:2016年,一个名为J 'arrete de fumer的社交网络项目在瑞士的六个法语州成立。它由Facebook群组组成,人们在其中约定戒烟日期。复发的高峰出现在方案的前三周。这项研究的目的是探索建立一个聊天机器人的可行性,以帮助人们在未来的迭代程序中克服这个高峰。方法:研究表明,吸烟的冲动可能是复发的原因之一。能够在这些阶段转移用户对吸烟的想法将有助于他们度过最初的三个星期。由于参与者人数众多,在渴望的时间框架内进行人工干预是很难实现的,但这种限制将更容易被聊天机器人克服。结果:为Telegram平台开发了一个聊天机器人。它提供了五个不同的模块,以超越吸烟欲望最大的时间段。其中一些模块,如激励评论和事实信息,已经得到了很好的应用,但其他一些模块还没有得到广泛的探索,比如通过对图像进行分类来帮助科学研究,或者将人们彼此联系作为另一种分散注意力的形式。结论:聊天机器人为帮助戒烟社区提供了有趣的机会,因为它们可以在渴望时间框架内帮助参与者,并且能够处理大量参与者。