ESDiT Publications

@article{Dudzik2024,

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

author = {Bernd J. W. Dudzik and Jasper S. van der Waa and Pei-Yu Chen and Roel Dobbe and Inago M.D.R. de Troya and Roos M. Bakker and Maaike H. T. de Boer and Emre Erdogan and Pinar Yolum and Shihan Wang and Selene Baez Santamaria and Lea Krause and Bart Kamphorst},

url = {https://doi.org/10.1613/jair.1.15916

https://www.esdit.nl/15916wpgs/},

doi = {10.1613/jair.1.15916},

year  = {2024},

date = {2024-07-10},

urldate = {2024-07-10},

journal = {JAIR – Journal for Artificial Intelligence Research},

volume = {80},

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.},

keywords = {Diabetes lifestyle, Digital health, Digital health intervention, Healthcare},

pubstate = {published},

tppubtype = {article}

}