A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support
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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-03-01
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| Series: | Frontiers in Digital Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fdgth.2025.1544185/full |
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| author | Chenxu Hao Susanne Uusitalo Caroline Figueroa Caroline Figueroa Quirine T. S. Smit Michael Strange Wen-Tseng Chang M. I. Ribeiro Vanita Kouomogne Nana Myrthe L. Tielman Maaike H. T. de Boer |
| author_facet | Chenxu Hao Susanne Uusitalo Caroline Figueroa Caroline Figueroa Quirine T. S. Smit Michael Strange Wen-Tseng Chang M. I. Ribeiro Vanita Kouomogne Nana Myrthe L. Tielman Maaike H. T. de Boer |
| author_sort | Chenxu Hao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-992f74f4dcf64128ab8dda83e7ed53ae |
| institution | OA Journals |
| issn | 2673-253X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Digital Health |
| spelling | doaj-art-992f74f4dcf64128ab8dda83e7ed53ae2025-08-20T01:49:27ZengFrontiers Media S.A.Frontiers in Digital Health2673-253X2025-03-01710.3389/fdgth.2025.15441851544185A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change supportChenxu Hao0Susanne Uusitalo1Caroline Figueroa2Caroline Figueroa3Quirine T. S. Smit4Michael Strange5Wen-Tseng Chang6M. I. Ribeiro7Vanita Kouomogne Nana8Myrthe L. Tielman9Maaike H. T. de Boer10Delft University of Technology, Delft, NetherlandsUniversity of Oulu, Oulu, FinlandDelft University of Technology, Delft, NetherlandsUniversity of California Berkeley, School of Social Welfare, Berkeley, United StatesTNO, Soesterberg, NetherlandsDepartment of Global Political Studies, Malmö University, Malmö, SwedenAmsterdam University of Applied Sciences, Amsterdam, NetherlandsTechnical University of Eindhoven, Eindhoven, NetherlandsDepartment of Computer Sciences and Information Systems, Faculty of Sciences and Engineering, University of Limerick, Limerick, IrelandDelft University of Technology, Delft, NetherlandsTNO, Soesterberg, NetherlandsAs 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.https://www.frontiersin.org/articles/10.3389/fdgth.2025.1544185/fullhuman computer interactionhybrid intelligencebehavior changehealthcaresupport system |
| spellingShingle | Chenxu Hao Susanne Uusitalo Caroline Figueroa Caroline Figueroa Quirine T. S. Smit Michael Strange Wen-Tseng Chang M. I. Ribeiro Vanita Kouomogne Nana Myrthe L. Tielman Maaike H. T. de Boer A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support Frontiers in Digital Health human computer interaction hybrid intelligence behavior change healthcare support system |
| title | A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support |
| title_full | A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support |
| title_fullStr | A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support |
| title_full_unstemmed | A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support |
| title_short | A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support |
| title_sort | human centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support |
| topic | human computer interaction hybrid intelligence behavior change healthcare support system |
| url | https://www.frontiersin.org/articles/10.3389/fdgth.2025.1544185/full |
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