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Accepted for/Published in: JMIR Formative Research

Date Submitted: Jan 28, 2022
Date Accepted: Apr 5, 2022

The final, peer-reviewed published version of this preprint can be found here:

Exploring Users’ Experiences With a Quick-Response Chatbot Within a Popular Smoking Cessation Smartphone App: Semistructured Interview Study

Alphonse A, Stewart K, Brown J, Perski O

Exploring Users’ Experiences With a Quick-Response Chatbot Within a Popular Smoking Cessation Smartphone App: Semistructured Interview Study

JMIR Form Res 2022;6(7):e36869

DOI: 10.2196/36869

PMID: 35797093

PMCID: 9305398

“You felt accountable to someone even though it was just a computer”: A qualitative study exploring users’ experiences of a quick-response chatbot within a popular smoking cessation smartphone application

  • Alice Alphonse; 
  • Kezia Stewart; 
  • Jamie Brown; 
  • Olga Perski

ABSTRACT

Background:

Engagement with smartphone applications (apps) for smoking cessation tends to be low. Chatbots (i.e., software that enables conversations with users) offer a promising means of increasing engagement.

Objective:

We aimed to explore smokers’ experiences of a quick-response, AI-driven chatbot (‘Quit Coach’) implemented within a popular smoking cessation app and identify factors that influence users’ engagement with the Quit Coach.

Methods:

In-depth, one-to-one, semi-structured qualitative interviews were conducted with adult, past-year smokers who had voluntarily used the Quit Coach in a recent smoking cessation attempt (n=5) or current smokers who agreed to download and use the Quit Coach for a minimum of two weeks to support a new cessation attempt (n=9). Verbal reports were audio recorded, transcribed verbatim, and analysed within a constructivist theoretical framework using inductive thematic analysis.

Results:

Three higher-order themes were generated to capture users’ experiences of and engagement with the Quit Coach: 1) anthropomorphism of and accountability to the Quit Coach (i.e., users ascribing human-like characteristics and thoughts to the chatbot, which helped foster a sense of accountability to it); 2) the Quit Coach’s interaction style and format (e.g., a positive and motivational tone of voice, quick and easy-to-complete check-ins); and iii) users’ perceived need for support (i.e., chatbot engagement was motivated by seeking distraction from cravings or support to maintain motivation to stay quit).

Conclusions:

Anthropomorphism of a quick-response, AI-driven chatbot implemented within a popular smoking cessation app was enabled by its interaction style and format and users’ perceived need for support, which led to feelings of accountability and increased engagement.


 Citation

Please cite as:

Alphonse A, Stewart K, Brown J, Perski O

Exploring Users’ Experiences With a Quick-Response Chatbot Within a Popular Smoking Cessation Smartphone App: Semistructured Interview Study

JMIR Form Res 2022;6(7):e36869

DOI: 10.2196/36869

PMID: 35797093

PMCID: 9305398

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