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Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management.

Authors :
Dudzik, Bernd J. W.
van der Waa, Jasper S.
Pei-Yu Chen
Dobbe, Roel
de Troya, Iñigo M. D. R.
Bakker, Roos M.
de Boer, Maaike H. T.
Smit, Quirine T. S.
Dell’Anna, Davide
Erdogan, Emre
Yolum, Pınar
Shihan Wang
Santamaría, Selene Báez
Krause, Lea
Kamphorst, Bart A.
Source :
Journal of Artificial Intelligence Research; 2024, Vol. 80, p919-929, 11p
Publication Year :
2024

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10769757
Volume :
80
Database :
Supplemental Index
Journal :
Journal of Artificial Intelligence Research
Publication Type :
Academic Journal
Accession number :
180396810