Introducing Quin: The Design and Development of a Prototype Chatbot to Support Smoking Cessation

Author:

Bendotti Hollie12ORCID,Ireland David2ORCID,Lawler Sheleigh3ORCID,Oates David2,Gartner Coral4ORCID,Marshall Henry M15ORCID

Affiliation:

1. Thoracic Research Centre, Faculty of Medicine, University of Queensland , Chermside, Queensland , Australia

2. The Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation , Herston, Queensland , Australia

3. School of Public Health, Faculty of Medicine, University of Queensland , Herston, Queensland , Australia

4. NHMRC Centre of Research Excellence on Achieving the Tobacco Endgame, School of Public Health, University of Queensland , Herston, Queensland , Australia

5. Department of Thoracic Medicine, The Prince Charles Hospital, Metro North Hospital and Health Service , Chermside, Queensland , Australia

Abstract

Abstract Introduction Chatbots emulate human-like interactions and may usefully provide on-demand access to tailored smoking cessation support. We have developed a prototype smartphone application-based smoking cessation chatbot, named Quin, grounded in real-world, evidence-, and theory-based smoking cessation counseling sessions. Methods Conversation topics and interactions in Quitline counseling sessions (N = 30; 18 h) were characterized using thematic, content, and proponent analyses of transcripts. Quin was created by programming this content using a chatbot framework which interacts with users via speech to text. Reiterative changes and additions were made to the conversation structure and dialogue following regular consultation with a multidisciplinary team from relevant fields, and from evidence-based resources. Results Chatbot conversations were encoded into initial and scheduled follow-up “appointments.” Collection of demographic information, and smoking and quit history, informed tailored discussion about pharmacotherapy preferences, behavioral strategies, and social and professional support to form a quit plan. Follow-up appointments were programmed to check in on user progress, review elements of the quit plan, answer questions, and solve issues. Quin was programmed to include teachable moments and educational content to enhance health literacy and informed decision-making. Personal agency is encouraged through exploration and self-reflection of users’ personal behaviors, experiences, preferences, and ideas. Conclusions Quin’s successful development represents a movement toward improving access to personalized smoking cessation support. Qualitative foundations of Quin provide greater insight into the smoking cessation counseling relationship and enhances the conversational ability of the technology. The prototype chatbot will be refined through beta-testing with end users and stakeholders prior to evaluation in a clinical trial. Implications Our novel study provides transparent description of the translation of qualitative evidence of real-world smoking cessation counseling sessions into the design and development of a prototype smoking cessation chatbot. The successful iterative development of Quin not only embodies the science and art of health promotion, but also a step forward in expanding the reach of tailored, evidence based, in-pocket support for people who want to quit smoking.

Funder

National Health and Medical Research Council

Commonwealth Scientific and Industrial Research Organisation

Prince Charles Hospital Foundation

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health

Reference50 articles.

1. The case for treating tobacco dependence as a chronic disease;Steinberg;Ann Intern Med.,2008

2. Shape of the relapse curve and long-term abstinence among untreated smokers;Hughes;Addiction.,2004

3. Estimating the number of quit attempts it takes to quit smoking successfully in a longitudinal cohort of smokers;Chaiton;BMJ Open,2016

4. Nicotine replacement therapy versus control for smoking cessation;Hartmann-Boyce;Cochrane Database Syst Rev.,2018

5. Antidepressants for smoking cessation;Howes;Cochrane Database Syst Rev.,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3