article

Using Health Chatbots for Behavior Change: A Mapping Study

Authors:

Juanan Pereira,

Óscar DíazAuthors Info & Claims

Journal of Medical Systems, Volume 43, Issue 5

Pages 1 - 13

https://doi.org/10.1007/s10916-019-1237-1

Published: 01 May 2019 Publication History

Abstract

This study conducts a mapping study to survey the landscape of health chatbots along three research questions: What illnesses are chatbots tackling What patient competences are chatbots aimed at Which chatbot technical enablers are of most interest in the health domain We identify 30 articles related to health chatbots from 2014 to 2018. We analyze the selected articles qualitatively and extract a triplet for each of them. This data serves to provide a first overview of chatbot-mediated behavior change on the health domain. Main insights include: nutritional disorders and neurological disorders as the main illness areas being tackled; "affect" as the human competence most pursued by chatbots to attain change behavior; and "personalization" and "consumability" as the most appreciated technical enablers. On the other hand, main limitations include lack of adherence to good practices to case-study reporting, and a deeper look at the broader sociological implications brought by this technology.

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Jiang ZRashik MPanchal KJasim MSarvghad ARiahi PDeWitt EThurber FMahyar N(2023)CommunityBots: Creating and Evaluating A Multi-Agent Chatbot Platform for Public Input ElicitationProceedings of the ACM on Human-Computer Interaction10.1145/35794697:CSCW1(1-32)Online publication date: 16-Apr-2023
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Index Terms

Using Health Chatbots for Behavior Change: A Mapping Study
1. Applied computing
  1. Life and medical sciences
2. Human-centered computing

Index terms have been assigned to the content through auto-classification.

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cover image Journal of Medical Systems

Journal of Medical Systems Volume 43, Issue 5

May 2019

413 pages

ISSN:0148-5598

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Copyright © Copyright © 2019 Springer Science+Business Media, LLC, part of Springer Nature.

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Plenum Press

United States

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Published: 01 May 2019

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https://dl.acm.org/doi/10.1016/j.cosrev.2024.100649
Wang XLi Q(2024)Co-designing Human–Chatbot Interaction for Various Healthcare Purposes: Considering Chatbots’ Social Characteristics and Communication ModalitiesHuman Aspects of IT for the Aged Population10.1007/978-3-031-61546-7_26(399-414)Online publication date: 29-Jun-2024
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Meyer SElsweiler D(2023)Towards Cross-Content Conversational Agents for Behaviour Change: Investigating Domain Independence and the Role of Lexical Features in Written Language Around ChangeProceedings of the 5th International Conference on Conversational User Interfaces10.1145/3571884.3597136(1-13)Online publication date: 19-Jul-2023
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Meyer SElsweiler DKruschwitz ULudwig B(2022)“I’m at my wits’ end” - Anticipating Information Needs and Appropriate Support Strategies in Behaviour ChangeProceedings of the 2022 Conference on Human Information Interaction and Retrieval10.1145/3498366.3505807(396-399)Online publication date: 14-Mar-2022
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