Understanding Individual Differences for Tailored Smoking Cessation Apps

Finding ways to help people quit smoking is a high priority in health behavior change research. Recent HCI studies involving technologies using specific quitting techniques such as social support and SMS messaging to help people quit have reported some success. Early studies using computer generated print material report significant success of tailored versus non-tailored material, however, there is limited understanding on what aspects of digitally delivered quitting assistance should be tailored and how. To address this, we have conducted an empirical investigation with smokers to identify perceived importance of different types of help when quitting and the potential role of technology in providing such help. We found that people are highly individual in their approach to quitting and the kind of help they regard as relevant to their situation. Our contribution is a collection of empirically derived themes for tailoring smoking cessation apps to individual quitting needs.

[1]  Sarah Snuggs,et al.  Responsiveness to reward following cessation of smoking , 2012, Psychopharmacology.

[2]  Merete Osler,et al.  Effect of smoking reduction on lung cancer risk. , 2005, JAMA.

[3]  Emanuela Falaschetti,et al.  Association Between Smoking and Blood Pressure: Evidence From the Health Survey for England , 2001, Hypertension.

[4]  R. West.  Theory of Addiction , 2006 .

[5]  Lorien C Abroms,et al.  A content analysis of popular smartphone apps for smoking cessation. , 2013, American journal of preventive medicine.

[6]  William W. Gaver,et al.  Design: Cultural probes , 1999, INTR.

[7]  B. J. Fogg,et al.  10 uses of texting to improve health , 2009, Persuasive '09.

[8]  William Rakowski,et al.  Assessing the transtheoretical model of change constructs for physicians counseling smokers , 2003, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[9]  Steve Howard,et al.  Patterns of support in an online community for smoking cessation , 2013, C&T '13.

[10]  W. Velicer,et al.  The Transtheoretical Model of Health Behavior Change , 1997, American journal of health promotion : AJHP.

[11]  Lorien C Abroms,et al.  iPhone apps for smoking cessation: a content analysis. , 2011, American journal of preventive medicine.

[12]  S. Michie,et al.  Behaviour change theory and evidence: a presentation to Government , 2013 .

[13]  K. Ahijevych,et al.  Processes of change across five stages of smoking cessation. , 1992, Addictive behaviors.

[14]  Steve Howard,et al.  "heh - keeps me off the smokes...": probing technology support for personal change , 2006, OZCHI '06.

[15]  Philipp Scholl,et al.  When do you light a fire?: capturing tobacco use with situated, wearable sensors , 2013, UbiComp.

[16]  V. Strecher.  Computer-tailored smoking cessation materials: a review and discussion. , 1999, Patient education and counseling.

[17]  Predrag V. Klasnja,et al.  Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research , 2013, CHI.

[18]  Christopher C. Yang,et al.  The Effectiveness of Smoking Cessation Intervention on Facebook: A Preliminary Study of Posts and Users , 2013, ICSH.

[19]  E. M. Cummings,et al.  Correlates of participation in a worksite stop-smoking contest , 1988, Journal of Behavioral Medicine.

[20]  E MorrisMargaret.  Motivating change with mobile , 2012 .

[21]  Margaret E. Morris,et al.  Motivating change with mobile: seven guidelines , 2012, INTR.

[22]  Robert West,et al.  Theory of Addiction: West/Theory , 2013 .

[23]  S. Michie,et al.  The behaviour change wheel: A new method for characterising and designing behaviour change interventions , 2011, Implementation science : IS.

[24]  Wanda Pratt,et al.  Understanding quantified-selfers' practices in collecting and exploring personal data , 2014, CHI.

[25]  Bernd Ploderer,et al.  A Mobile App Offering Distractions and Tips to Cope With Cigarette Craving: A Qualitative Study , 2014, JMIR mHealth and uHealth.

[26]  Michael Eisenberg,et al.  Towards the crafting of personal health technologies , 2014, Conference on Designing Interactive Systems.

[27]  Scott Counts,et al.  Unraveling abstinence and relapse: smoking cessation reflected in social media , 2014, CHI.

[28]  Wanda Pratt,et al.  How to evaluate technologies for health behavior change in HCI research , 2011, CHI.

[29]  Erik M Augustson,et al.  Where there's an app, there's a way? , 2011, American journal of preventive medicine.

[30]  Steve Howard,et al.  Things you don't want to know about yourself: ambivalence about tracking and sharing personal information for behaviour change , 2012, OZCHI.

[31]  Manfred Tscheligi,et al.  Persuasive Technology , 2016, Lecture Notes in Computer Science.

[32]  N. Hoffart.  Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory , 2000 .

[33]  Woojin Chung,et al.  Factors influencing cigarette smoking and quantified implications for anti-smoking policy: evidence from South Korea , 2009, International Journal of Public Health.

[34]  Steve Howard,et al.  Introducing the ambivalent socialiser , 2012, CHI.

[35]  Paul Aveyard,et al.  The effect of Transtheoretical Model based interventions on smoking cessation. , 2009, Social science & medicine.

[36]  Robert West,et al.  Development of a taxonomy of behaviour change techniques used in individual behavioural support for smoking cessation. , 2011, Addictive behaviors.

[37]  Cristina Rey-Reñones,et al.  Efficacy of a mobile application for smoking cessation in young people: study protocol for a clustered, randomized trial , 2013, BMC Public Health.

[38]  Jaap Ham,et al.  When Artificial Social Agents Try to Persuade People: The Role of Social Agency on the Occurrence of Psychological Reactance , 2011, Int. J. Soc. Robotics.

[39]  A. Deribew,et al.  Cigarette smokers' intention to quit smoking in Dire Dawa town Ethiopia: an assessment using the Transtheoretical Model , 2010, BMC public health.

[40]  Syed Monowar Hossain,et al.  mPuff: Automated detection of cigarette smoking puffs from respiration measurements , 2012, 2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN).

[41]  Todd Shimoda,et al.  Increasing Relevance of Smoking Cessation Messages in an Online Software Agent Environment , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[42]  Jesper Kjeldskov,et al.  Quitty: using technology to persuade smokers to quit , 2014, NordiCHI.