Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management. Dudzik, B., van der Waa, J., Chen, P., 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., Santamaría, S. B., Krause, L., & Kamphorst, B. A. Journal of Artificial Intelligence Research, 80:919–929, 2024. ![Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management [link]](https://bibbase.org/img/filetypes/link.svg "link")
Link Paper doi abstract bibtex 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.
@article{DBLP:journals/jair/DudzikWCDTBBSDEYWSKK24,
author = {Bernd Dudzik and
Jasper 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
Quirine T. S. Smit and
Davide Dell'Anna and
Emre Erdogan and
Pinar Yolum and
Shihan Wang and
Selene Baez Santamar{\'{\i}}a and
Lea Krause and
Bart A. Kamphorst},
title = {Viewpoint: Hybrid Intelligence Supports Application Development for
Diabetes Lifestyle Management},
journal = {Journal of Artificial Intelligence Research},
volume = {80},
pages = {919--929},
year = {2024},
doi = {10.1613/JAIR.1.15916},
url_Link = {https://doi.org/10.1613/jair.1.15916},
url_Paper = {https://jair.org/index.php/jair/article/view/15916/27057},
keywords = {Hybrid Intelligence, 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’s potential to address these by outlining relevant research trajectories.},
timestamp = {Wed, 31 Jul 2024 09:16:16 +0200},
biburl = {https://dblp.org/rec/journals/jair/DudzikWCDTBBSDEYWSKK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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