research-article

Design for health behavior change supportive technology: healthcare professionals' perspective

Author:

Vasiliki MylonopoulouAuthors Info & Claims

NordiCHI '18: Proceedings of the 10th Nordic Conference on Human-Computer Interaction

Pages 82 - 92

https://doi.org/10.1145/3240167.3240196

Published: 29 September 2018 Publication History

Abstract

Health behavior change is a long and difficult process that persuasive technology supports through persuasion and social influence. Designers, oftentimes, do not distinguish the different social influence factors, one of which is social comparison (the comparison of an individual's data to that of others). Social comparison is tested by psychologists on health, coping, and wellbeing. However, design guidelines for social comparison features are almost inexistent.

This paper explores - through semi-structured interviews - healthcare professionals' perspectives on technology supporting behavior change, and social comparison. The results present five categories the designers can look into and get inspired. Finally, design implications are presented: three design components for a holistic persuasive design, and three questions related to the social comparison features' design in order to help with brainstorming and reflection.

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Cited By

Calvaresi DCarli RTiribelli SBuzcu BAydogan RDi Vincenzo AMualla YSchumacher MCalbimonte J(2025)Computational persuasion technologies, explainability, and ethical-legal implications: A systematic literature reviewComputers in Human Behavior Reports10.1016/j.chbr.2024.10057717(100577)Online publication date: Mar-2025
https://doi.org/10.1016/j.chbr.2024.100577
Tunis RFleischmann KSmith A(2024)Designing for Personalization in Personal Informatics: Barriers and Pragmatic Approaches from the Perspectives of Designers, Developers, and Product ManagersProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661622(584-596)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661622
Jakob RLepper NFleisch EKowatsch T(2024)Predicting early user churn in a public digital weight loss interventionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642321(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642321
Show More Cited By

Index Terms

Design for health behavior change supportive technology: healthcare professionals' perspective
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
    2. HCI theory, concepts and models

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cover image ACM Other conferences

NordiCHI '18: Proceedings of the 10th Nordic Conference on Human-Computer Interaction

September 2018

1002 pages

ISBN:9781450364379

DOI:10.1145/3240167

General Chairs:
Tone Bratteteig
University of Oslo
,
Frode Eika Sandnes
Oslo Metropolitan University
,
Publications Chair:
Gerd Berget
Oslo Metropolitan University

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 29 September 2018

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Horizon 2020

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NordiCHI'18

NordiCHI'18: Nordic Conference on Human-Computer Interaction

September 29 - October 3, 2018

Oslo, Norway

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NordiCHI '18 Paper Acceptance Rate 59 of 240 submissions, 25%;

Overall Acceptance Rate 379 of 1,572 submissions, 24%

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Cited By

Calvaresi DCarli RTiribelli SBuzcu BAydogan RDi Vincenzo AMualla YSchumacher MCalbimonte J(2025)Computational persuasion technologies, explainability, and ethical-legal implications: A systematic literature reviewComputers in Human Behavior Reports10.1016/j.chbr.2024.10057717(100577)Online publication date: Mar-2025
https://doi.org/10.1016/j.chbr.2024.100577
Tunis RFleischmann KSmith A(2024)Designing for Personalization in Personal Informatics: Barriers and Pragmatic Approaches from the Perspectives of Designers, Developers, and Product ManagersProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661622(584-596)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661622
Jakob RLepper NFleisch EKowatsch T(2024)Predicting early user churn in a public digital weight loss interventionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642321(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642321
Jessen SMirkovic JNes L(2020)MyStrengths, a Strengths-Focused Mobile Health Tool: Participatory Design and DevelopmentJMIR Formative Research10.2196/180494:7(e18049)Online publication date: 24-Jul-2020
https://doi.org/10.2196/18049
Korhonen OMylonopoulou VGiunti GTurunen M(2020)Emerging personalization elements in health service deliveryProceedings of the 23rd International Conference on Academic Mindtrek10.1145/3377290.3377295(37-44)Online publication date: 29-Jan-2020
https://dl.acm.org/doi/10.1145/3377290.3377295

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