Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management
Journal of Artificial Intelligence Research, vol. 80, pp. 919–929
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.
Authors 15
-
Delft University of Technology
Affiliation as printed
Delft University of Technology
-
Netherlands Organisation for Applied Scientific Research
Affiliation as printed
TNO
-
Delft University of Technology
Affiliation as printed
Delft University of Technology
-
Delft University of Technology
Affiliation as printed
Delft University of Technology
-
Delft University of Technology
Affiliation as printed
Delft University of Technology
-
Roos M. Bakker Aachen
Leiden University · Netherlands Organisation for Applied Scientific Research · Utrecht University · Vrije Universiteit Amsterdam · Wageningen University & Research · Delft University of Technology
Affiliation as printed
TNO
3769 DE Soesterberg, The Netherlands
Delft Univeristy of Technology, 2628 XE Delft, The Netherlands
TNO 3769 DE Soesterberg, The Netherlands
TNO 3769 DE Soesterberg, The Netherlands & Leiden University 2311 BE Leiden, The Netherlands
Utrecht University 3584 CS Utrecht, The Netherlands
Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
Wageningen University & Research, 6706 KN Wageningen, The Netherlands
-
Maaike de Boer Aachen
Leiden University · Netherlands Organisation for Applied Scientific Research · Utrecht University · Vrije Universiteit Amsterdam · Wageningen University & Research · Delft University of Technology
Affiliation as printed
TNO
3769 DE Soesterberg, The Netherlands
Delft Univeristy of Technology, 2628 XE Delft, The Netherlands
TNO 3769 DE Soesterberg, The Netherlands
TNO 3769 DE Soesterberg, The Netherlands & Leiden University 2311 BE Leiden, The Netherlands
Utrecht University 3584 CS Utrecht, The Netherlands
Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
Wageningen University & Research, 6706 KN Wageningen, The Netherlands
-
Quirine T. S. Smit Aachen
Leiden University · Netherlands Organisation for Applied Scientific Research · Utrecht University · Vrije Universiteit Amsterdam · Wageningen University & Research · Delft University of Technology
Affiliation as printed
TNO
3769 DE Soesterberg, The Netherlands
Delft Univeristy of Technology, 2628 XE Delft, The Netherlands
TNO 3769 DE Soesterberg, The Netherlands
TNO 3769 DE Soesterberg, The Netherlands & Leiden University 2311 BE Leiden, The Netherlands
Utrecht University 3584 CS Utrecht, The Netherlands
Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
Wageningen University & Research, 6706 KN Wageningen, The Netherlands
-
Affiliation as printed
Utrecht University
-
Affiliation as printed
Utrecht University
-
Affiliation as printed
Utrecht University
-
Affiliation as printed
Utrecht University
-
Affiliation as printed
Vrije Universiteit Amsterdam
-
Affiliation as printed
Vrije Universiteit Amsterdam
-
Wageningen University & Research
Affiliation as printed
Wageningen University & Research
Cited by 4 stored of 4
4 results
No patents citing this paper on Lens.org (checked 2026-10-11).