Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Apr 13, 2022
Date Accepted: Aug 26, 2022

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

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

Dhinagaran DA, Martinengo L, Ho MHR, Joty S, Kowatsch T, Atun R, Tudor Car L

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

JMIR Mhealth Uhealth 2022;10(10):e38740

DOI: 10.2196/38740

PMID: 36194462

PMCID: 9579935

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Designing, developing, evaluating, and Implementing a Smartphone-delivered, rule-based COnVERsational agent (DISCOVER): a conceptual framework

  • Dhakshenya Ardhithy Dhinagaran; 
  • Laura Martinengo; 
  • Moon-Ho Ringo Ho; 
  • Shafiq Joty; 
  • Tobias Kowatsch; 
  • Rifat Atun; 
  • Lorainne Tudor Car

ABSTRACT

Background:

Conversational agents (CAs), also known as chatbots are computer programs that simulate human conversations using predetermined rule-based responses or employing artificial intelligent algorithms. They are increasingly used in healthcare, particularly via smartphones. There is, at present no conceptual framework guiding the development of smartphone rule-based CAs in healthcare. To fill this gap we propose structured and tailored guidance for their design, development, evaluation, and implementation.

Objective:

To develop a conceptual framework for the design, evaluation, and implementation of smartphone-delivered, rule-based, goal-oriented, and text-based CAs for healthcare.

Methods:

We followed Jabareen’s approach to develop this conceptual framework. We performed two literature reviews focusing on healthcare CAs and conceptual frameworks for the development of mHealth 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 DISCOVER conceptual framework includes eight iterative steps, grouped into three stages: (1) Design, comprising defining the goal, creating an identity, assembling the team, and selecting the delivery interface, (2) Development, including developing the content and building the conversation flow, and (3) Evaluation and implementation of the CA. They were complemented by two cross-cutting considerations, user-centered design, and privacy & security, that were relevant at all stages. The 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 to developing rule-based, smartphone-delivered CAs. Further evaluation of this framework in diverse healthcare areas, 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 healthcare interventions, including behavior change and potential privacy and safety concerns. Clinical Trial: NA


 Citation

Please cite as:

Dhinagaran DA, Martinengo L, Ho MHR, Joty S, Kowatsch T, Atun R, Tudor Car L

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

JMIR Mhealth Uhealth 2022;10(10):e38740

DOI: 10.2196/38740

PMID: 36194462

PMCID: 9579935

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.