Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management

Bernd J.W. Dudzik; Jasper S. van der Waa; Pei-Yu Chen; Roel Dobbe; Inago M.D.R. de Troya; Roos M. Bakker; Maaike  H.T. de Boer; Quirine T.S. Smit; Davide Dell' Anna; Emre Erdogan; Pinar Yolum; Shihan Wang; Selene Baez Santamaria; Lea Krause; Bart A. Kamphorst

doi:10.1613/jair.1.15916

Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management

Bernd J.W. Dudzik^*, Jasper S. van der Waa, Pei-Yu Chen, Roel Dobbe, Inago M.D.R. de Troya, Roos M. Bakker, Maaike H.T. de Boer, Quirine T.S. Smit, Davide Dell' Anna, Emre Erdogan, Pinar Yolum, Shihan Wang, Selene Baez Santamaria, Lea Krause, Bart A. Kamphorst^*

^*Corresponding author for this work

Postdoc Directie - LAW

Research output: Contribution to journal › Article › Academic › peer-review

5 Citations (Scopus)

Abstract

Type II diabetes is a complex health condition requiring patients to closely and continuously collaborate with healthcare professionals and other caretakers on lifestyle changes. While intelligent products have tremendous potential to support such Diabetes Lifestyle Management (DLM), existing products are typically conceived from a technology-centered perspective that insufficiently acknowledges the degree to which collaboration and inclusion of stakeholders is required. In this article, we argue that the emergent design philosophy of Hybrid Intelligence (HI) forms a suitable alternative lens for research and development. In particular, we (1) highlight a series of pragmatic challenges for effective AI-based DLM support based on results from an expert focus group, and (2) argue for HI’s potential to address these by outlining relevant research trajectories.

Original language	English
Pages (from-to)	919-929
Journal	Journal of Artificial Intelligence Research
Volume	80
DOIs	https://doi.org/10.1613/jair.1.15916
Publication status	Published - 7 Jul 2024

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SDG 3 Good Health and Well-being

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Dudzik, B. J. W., van der Waa, J. S., Chen, P.-Y., Dobbe, R., de Troya, I. M. D. R., Bakker, R. M., de Boer, M. H. T., Smit, Q. T. S., Dell' Anna, D., Erdogan, E., Yolum, P., Wang, S., Baez Santamaria, S., Krause, L., & Kamphorst, B. A. (2024). Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management. Journal of Artificial Intelligence Research, 80, 919-929. https://doi.org/10.1613/jair.1.15916

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title = "Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management",

abstract = "Type II diabetes is a complex health condition requiring patients to closely and continuously collaborate with healthcare professionals and other caretakers on lifestyle changes. While intelligent products have tremendous potential to support such Diabetes Lifestyle Management (DLM), existing products are typically conceived from a technology-centered perspective that insufficiently acknowledges the degree to which collaboration and inclusion of stakeholders is required. In this article, we argue that the emergent design philosophy of Hybrid Intelligence (HI) forms a suitable alternative lens for research and development. In particular, we (1) highlight a series of pragmatic challenges for effective AI-based DLM support based on results from an expert focus group, and (2) argue for HI{\textquoteright}s potential to address these by outlining relevant research trajectories.",

author = "Dudzik, \{Bernd J.W.\} and \{van der Waa\}, \{Jasper S.\} and Pei-Yu Chen and Roel Dobbe and \{de Troya\}, \{Inago M.D.R.\} and Bakker, \{Roos M.\} and \{de Boer\}, \{Maaike H.T.\} and Smit, \{Quirine T.S.\} and \{Dell' Anna\}, Davide and Emre Erdogan and Pinar Yolum and Shihan Wang and \{Baez Santamaria\}, Selene and Lea Krause and Kamphorst, \{Bart A.\}",

year = "2024",

month = jul,

day = "7",

doi = "10.1613/jair.1.15916",

language = "English",

volume = "80",

pages = "919--929",

journal = "Journal of Artificial Intelligence Research",

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Dudzik, BJW, van der Waa, JS, Chen, P-Y, Dobbe, R, de Troya, IMDR, Bakker, RM, de Boer, MHT, Smit, QTS, Dell' Anna, D, Erdogan, E, Yolum, P, Wang, S, Baez Santamaria, S, Krause, L & Kamphorst, BA 2024, 'Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management', Journal of Artificial Intelligence Research, vol. 80, pp. 919-929. https://doi.org/10.1613/jair.1.15916

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AU - Dudzik, Bernd J.W.

AU - van der Waa, Jasper S.

AU - Chen, Pei-Yu

AU - Dobbe, Roel

AU - de Troya, Inago M.D.R.

AU - Bakker, Roos M.

AU - de Boer, Maaike H.T.

AU - Smit, Quirine T.S.

AU - Dell' Anna, Davide

AU - Erdogan, Emre

AU - Yolum, Pinar

AU - Wang, Shihan

AU - Baez Santamaria, Selene

AU - Krause, Lea

AU - Kamphorst, Bart A.

PY - 2024/7/7

Y1 - 2024/7/7

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AB - Type II diabetes is a complex health condition requiring patients to closely and continuously collaborate with healthcare professionals and other caretakers on lifestyle changes. While intelligent products have tremendous potential to support such Diabetes Lifestyle Management (DLM), existing products are typically conceived from a technology-centered perspective that insufficiently acknowledges the degree to which collaboration and inclusion of stakeholders is required. In this article, we argue that the emergent design philosophy of Hybrid Intelligence (HI) forms a suitable alternative lens for research and development. In particular, we (1) highlight a series of pragmatic challenges for effective AI-based DLM support based on results from an expert focus group, and (2) argue for HI’s potential to address these by outlining relevant research trajectories.

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DO - 10.1613/jair.1.15916

M3 - Article

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SP - 919

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JO - Journal of Artificial Intelligence Research

JF - Journal of Artificial Intelligence Research

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Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management

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