@COMMENT This file was generated by bib2html.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <http://sourceforge.net/users/patstg/>
@article{dudzik2024hybrid,
  title={Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management},
  author={Dudzik, Bernd J. W. and van der Waa, Jasper S. and Chen, Pei-Yu and Dobbe, Roel and de Troya, {\'I}nigo M. D. R. and Bakker, Roos M. and de Boer, Maaike H. T. and Smit, Quirine T. S. and Dell'Anna, Davide and Erdogan, Emre and Yolum, P{\i}nar and Wang, Shihan and B{\'a}ez Santamar{\'i}a, Selene and Krause, Lea and Kamphorst, Bart A.},
  journal={Journal of Artificial Intelligence Research},
  volume={80},
  pages={919--929},
  year={2024},
  doi={10.1613/jair.1.15916},
  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.",
   bib2html_rescat = {Human-AI Collaboration},
    bib2html_dl_pdf ="papers/hi-view-2025.pdf"
}