On Using Chatbots to Promote Smoking Cessation Among Adolescents of Low Socioeconomic Status

Reducing youth tobacco use is critical for improving child health since tobacco use is associated with respiratory problems, and nicotine may interfere with healthy brain development. While tobacco regulation has contributed to declines in cigarette use among youth, these declines have occurred more quickly for youth of high socioeconomic status (SES) compared to youth of low SES. A major barrier to smoking cessation for adolescents of low SES is coordination of access and transportation to in-person treatment sessions. Low-SES youth may have family obligations that limit their ability to access in-person treatment. At the same time, mobile use among adolescents is high: 85% have smartphones. Additionally, adolescents engage in texting at high rates, suggesting that they are well-suited for mobile instant messaging interventions. Mobile interventions have shown promise for youth, but their use remains low. Thus, more research is needed to develop effective and engaging mobile interventions to increase quit rates. In this paper, we provide a brief review of approaches to adolescent smoking cessation and describe the promise of chatbots for smoking cessation.

[1]  G. Grimshaw,et al.  Tobacco cessation interventions for young people. , 2013, The Cochrane database of systematic reviews.

[2]  David C. Atkins,et al.  Development and Evaluation of ClientBot: Patient-Like Conversational Agent to Train Basic Counseling Skills , 2019, Journal of medical Internet research.

[3]  David C. Atkins,et al.  A Comparison of Natural Language Processing Methods for Automated Coding of Motivational Interviewing. , 2016, Journal of substance abuse treatment.

[4]  D. Scharfstein,et al.  Evaluation of School-Based Smoking-Cessation Interventions for Self-Described Adolescent Smokers , 2009, Pediatrics.

[5]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[6]  Jesse Dallery,et al.  An Open-Label Pilot Study of an Intervention Using Mobile Phones to Deliver Contingency Management of Tobacco Abstinence to High School Students , 2017, Experimental and clinical psychopharmacology.

[7]  Matthew J Carpenter,et al.  Attitudes and interest in technology-based treatment and the remote monitoring of smoking among adolescents and emerging adults. , 2017, Journal of smoking cessation.

[8]  Cindy Tworek,et al.  Youth tobacco cessation: quitting intentions and past-year quit attempts. , 2014, American journal of preventive medicine.

[9]  Cheryl Healton,et al.  Tobacco Use Among Middle & High School Students , 2004 .

[11]  Patrick M. O'Malley,et al.  Demographic subgroup trends among adolescents in the use of various licit and illicit drugs, 1975-2015 , 2014 .

[12]  Linda Cambon,et al.  Efficacy of a smoking cessation program in a population of adolescent smokers in vocational schools: a public health evaluative controlled study , 2013, BMC Public Health.

[13]  Padhraic Smyth,et al.  Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing , 2015, CLPsych@HLT-NAACL.

[14]  Brian A. King,et al.  Tobacco Use Among Middle and High School Students — United States, 2011–2014 , 2015, MMWR. Morbidity and mortality weekly report.

[15]  A. Lenhart,et al.  Teens and Mobile Phones: Text Messaging Explodes as Teens Embrace It as the Centerpiece of Their Communication Strategies with Friends. , 2010 .

[16]  Arthur V. Peterson,et al.  Group-randomized trial of a proactive, personalized telephone counseling intervention for adolescent smoking cessation. , 2009, Journal of the National Cancer Institute.

[17]  Fahad Almusharraf,et al.  Motivating Smokers to Quit Through a Computer-based Conversational System , 2019 .

[18]  Danna Zhou,et al.  d. , 1934, Microbial pathogenesis.

[19]  Vital signs: current cigarette smoking among adults aged ≥18 years--United States, 2005-2010. , 2011, MMWR. Morbidity and mortality weekly report.

[20]  K. Fitzpatrick,et al.  Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial , 2017, JMIR mental health.

[21]  Patricia Simon,et al.  Socioeconomic disparities in electronic cigarette use among adolescents , 2015 .

[22]  Panayiotis G. Georgiou,et al.  Attention Networks for Modeling Behaviors in Addiction Counseling , 2017, INTERSPEECH.

[23]  Aaron Smith,et al.  U.S. Smartphone Use in 2015 , 2015 .