Literature DB >> 36194462

Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent (DISCOVER): Development of a Conceptual Framework.

Dhakshenya Ardhithy Dhinagaran1, Laura Martinengo1, Moon-Ho Ringo Ho2, Shafiq Joty3, Tobias Kowatsch4,5,6,7, Rifat Atun8,9,10, Lorainne Tudor Car1,11.   

Abstract

BACKGROUND: Conversational agents (CAs), also known as chatbots, are computer programs that simulate human conversations by using predetermined rule-based responses or artificial intelligence algorithms. They are increasingly used in health care, particularly via smartphones. There is, at present, no conceptual framework guiding the development of smartphone-based, rule-based CAs in health care. To fill this gap, we propose structured and tailored guidance for their design, development, evaluation, and implementation.
OBJECTIVE: The aim of this study was to develop a conceptual framework for the design, evaluation, and implementation of smartphone-delivered, rule-based, goal-oriented, and text-based CAs for health care.
METHODS: We followed the approach by Jabareen, which was based on the grounded theory method, to develop this conceptual framework. We performed 2 literature reviews focusing on health care CAs and conceptual frameworks for the development of mobile health interventions. We identified, named, categorized, integrated, and synthesized the information retrieved from the literature reviews to develop the conceptual framework. We then applied this framework by developing a CA and testing it in a feasibility study.
RESULTS: The Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent (DISCOVER) conceptual framework includes 8 iterative steps grouped into 3 stages, as follows: design, comprising defining the goal, creating an identity, assembling the team, and selecting the delivery interface; development, including developing the content and building the conversation flow; and the evaluation and implementation of the CA. They were complemented by 2 cross-cutting considerations-user-centered design and privacy and security-that were relevant at all stages. This conceptual framework was successfully applied in the development of a CA to support lifestyle changes and prevent type 2 diabetes.
CONCLUSIONS: Drawing on published evidence, the DISCOVER conceptual framework provides a step-by-step guide for developing rule-based, smartphone-delivered CAs. Further evaluation of this framework in diverse health care areas and settings and for a variety of users is needed to demonstrate its validity. Future research should aim to explore the use of CAs to deliver health care interventions, including behavior change and potential privacy and safety concerns. ©Dhakshenya Ardhithy Dhinagaran, Laura Martinengo, Moon-Ho Ringo Ho, Shafiq Joty, Tobias Kowatsch, Rifat Atun, Lorainne Tudor Car. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 04.10.2022.

Entities:  

Keywords:  chatbot; conceptual framework; conversational agent; digital health; mHealth; mobile health; mobile phone

Mesh:

Year:  2022        PMID: 36194462      PMCID: PMC9579935          DOI: 10.2196/38740

Source DB:  PubMed          Journal:  JMIR Mhealth Uhealth        ISSN: 2291-5222            Impact factor:   4.947


  135 in total

1.  Establishing the computer-patient working alliance in automated health behavior change interventions.

Authors:  Timothy Bickmore; Amanda Gruber; Rosalind Picard
Journal:  Patient Educ Couns       Date:  2005-10

Review 2.  Using Health Chatbots for Behavior Change: A Mapping Study.

Authors:  Juanan Pereira; Óscar Díaz
Journal:  J Med Syst       Date:  2019-04-04       Impact factor: 4.460

3.  Design Thinking for mHealth Application Co-Design to Support Heart Failure Self-Management.

Authors:  Leanna Woods; Elizabeth Cummings; Jed Duff; Kim Walker
Journal:  Stud Health Technol Inform       Date:  2017

4.  Evaluating Digital Health Interventions: Key Questions and Approaches.

Authors:  Elizabeth Murray; Eric B Hekler; Gerhard Andersson; Linda M Collins; Aiden Doherty; Chris Hollis; Daniel E Rivera; Robert West; Jeremy C Wyatt
Journal:  Am J Prev Med       Date:  2016-11       Impact factor: 5.043

Review 5.  Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy.

Authors:  Thomas L Webb; Judith Joseph; Lucy Yardley; Susan Michie
Journal:  J Med Internet Res       Date:  2010-02-17       Impact factor: 5.428

6.  An evaluation of patients' experienced usability of a diabetes mHealth system using a multi-method approach.

Authors:  Mattias Georgsson; Nancy Staggers
Journal:  J Biomed Inform       Date:  2015-11-27       Impact factor: 6.317

7.  IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior.

Authors:  Sarah Ann Mummah; Thomas N Robinson; Abby C King; Christopher D Gardner; Stephen Sutton
Journal:  J Med Internet Res       Date:  2016-12-16       Impact factor: 5.428

8.  A fully automated conversational agent for promoting mental well-being: A pilot RCT using mixed methods.

Authors:  Kien Hoa Ly; Ann-Marie Ly; Gerhard Andersson
Journal:  Internet Interv       Date:  2017-10-10

9.  The Cost-Effectiveness of Digital Health Interventions on the Management of Cardiovascular Diseases: Systematic Review.

Authors:  Xinchan Jiang; Wai-Kit Ming; Joyce Hs You
Journal:  J Med Internet Res       Date:  2019-06-17       Impact factor: 5.428

10.  Investigating Intervention Components and Exploring States of Receptivity for a Smartphone App to Promote Physical Activity: Protocol of a Microrandomized Trial.

Authors:  Jan-Niklas Kramer; Florian Künzler; Varun Mishra; Bastien Presset; David Kotz; Shawna Smith; Urte Scholz; Tobias Kowatsch
Journal:  JMIR Res Protoc       Date:  2019-01-31
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