A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support
Hao, Chenxu; Uusitalo, Susanne; Figueroa, Caroline; Smit, Quirine T S; Strange, Michael; Chang, Wen-Tseng; Ribeiro, M I; Kouomogne Nana, Vanita; Tielman, Myrthe L; de Boer, Maaike H T (2025-04-20)
Frontiers Media S.A.
20.04.2025
Hao C, Uusitalo S, Figueroa C, Smit QTS, Strange M, Chang W-T, Ribeiro MI, Kouomogne Nana V, Tielman ML and de Boer MHT (2025) A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support. Front. Digit. Health 7:1544185. doi: 10.3389/fdgth.2025.1544185
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© 2025 Hao, Uusitalo, Figueroa, Smit, Strange, Chang, Ribeiro, Kouomogne Nana, Tielman and de Boer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
https://creativecommons.org/licenses/by/4.0/
© 2025 Hao, Uusitalo, Figueroa, Smit, Strange, Chang, Ribeiro, Kouomogne Nana, Tielman and de Boer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202504072451
https://urn.fi/URN:NBN:fi:oulu-202504072451
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Abstract
As intelligent systems become more integrated into people’s daily life, systems designed to facilitate lifestyle and behavior change for health and well-being have also become more common. Previous work has identified challenges in the development and deployment of such AI-based support for diabetes lifestyle management and shown that it is necessary to shift the design process of AI-based support systems towards a human-centered approach that can be addressed by hybrid intelligence (HI). However, this shift also means adopting a user-centric design process, which brings its own challenges in terms of stakeholder involvement, evaluation processes and ethical concerns. In this perspective paper, we aim to more comprehensively identify challenges and future research directions in the development of HI systems for behavior change from four different viewpoints: (1) challenges on an individual level, such as understanding the individual end-user’s context (2) challenges on an evaluation level, such as evaluation pipelines and identifying success criteria and (3) challenges in addressing ethical implications. We show that developing HI systems for behavior change is an interdisciplinary process that requires further collaboration and consideration from various fields.
As intelligent systems become more integrated into people’s daily life, systems designed to facilitate lifestyle and behavior change for health and well-being have also become more common. Previous work has identified challenges in the development and deployment of such AI-based support for diabetes lifestyle management and shown that it is necessary to shift the design process of AI-based support systems towards a human-centered approach that can be addressed by hybrid intelligence (HI). However, this shift also means adopting a user-centric design process, which brings its own challenges in terms of stakeholder involvement, evaluation processes and ethical concerns. In this perspective paper, we aim to more comprehensively identify challenges and future research directions in the development of HI systems for behavior change from four different viewpoints: (1) challenges on an individual level, such as understanding the individual end-user’s context (2) challenges on an evaluation level, such as evaluation pipelines and identifying success criteria and (3) challenges in addressing ethical implications. We show that developing HI systems for behavior change is an interdisciplinary process that requires further collaboration and consideration from various fields.
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