@article{DBLP:journals/jair/DudzikWCDTBBSDEYWSKK24,
      title={Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management}, 
      author={Bernd Dudzik and J. S. van der Waa and PY. Chen and R. Dobbe and I.M.R. de Troya and R. Bakker and M. H. T. de Boer and Q. Smit and Davide Dell'Anna and Emre Erdogan and Pinar Yolum and S. Wang and S. Baez Santamaria and L. Krause and B. A. Kamphorst},
      journal = {Journal of Artificial Intelligence Research (To Appear)},
      year={2024},
      url_Link = {/research.php},
      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.}
}

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A."],"bibdata":{"bibtype":"article","type":"article","title":"Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management","author":[{"firstnames":["Bernd"],"propositions":[],"lastnames":["Dudzik"],"suffixes":[]},{"firstnames":["J.","S."],"propositions":["van","der"],"lastnames":["Waa"],"suffixes":[]},{"firstnames":["PY."],"propositions":[],"lastnames":["Chen"],"suffixes":[]},{"firstnames":["R."],"propositions":[],"lastnames":["Dobbe"],"suffixes":[]},{"firstnames":["I.M.R."],"propositions":["de"],"lastnames":["Troya"],"suffixes":[]},{"firstnames":["R."],"propositions":[],"lastnames":["Bakker"],"suffixes":[]},{"firstnames":["M.","H.","T."],"propositions":["de"],"lastnames":["Boer"],"suffixes":[]},{"firstnames":["Q."],"propositions":[],"lastnames":["Smit"],"suffixes":[]},{"firstnames":["Davide"],"propositions":[],"lastnames":["Dell'Anna"],"suffixes":[]},{"firstnames":["Emre"],"propositions":[],"lastnames":["Erdogan"],"suffixes":[]},{"firstnames":["Pinar"],"propositions":[],"lastnames":["Yolum"],"suffixes":[]},{"firstnames":["S."],"propositions":[],"lastnames":["Wang"],"suffixes":[]},{"firstnames":["S.","Baez"],"propositions":[],"lastnames":["Santamaria"],"suffixes":[]},{"firstnames":["L."],"propositions":[],"lastnames":["Krause"],"suffixes":[]},{"firstnames":["B.","A."],"propositions":[],"lastnames":["Kamphorst"],"suffixes":[]}],"journal":"Journal of Artificial Intelligence Research (To Appear)","year":"2024","url_link":"/research.php","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.","bibtex":"@article{DBLP:journals/jair/DudzikWCDTBBSDEYWSKK24,\n title={Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management}, \n author={Bernd Dudzik and J. S. van der Waa and PY. Chen and R. Dobbe and I.M.R. de Troya and R. Bakker and M. H. T. de Boer and Q. Smit and Davide Dell'Anna and Emre Erdogan and Pinar Yolum and S. Wang and S. Baez Santamaria and L. Krause and B. A. Kamphorst},\n journal = {Journal of Artificial Intelligence Research (To Appear)},\n year={2024},\n url_Link = {/research.php},\n keywords = {Hybrid Intelligence, Diabetes Lifestyle Management},\n 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.}\n}\n","author_short":["Dudzik, B.","van der Waa, J. S.","Chen, P.","Dobbe, R.","de Troya, I.","Bakker, R.","de Boer, M. H. T.","Smit, Q.","Dell'Anna, D.","Erdogan, E.","Yolum, P.","Wang, S.","Santamaria, S. B.","Krause, L.","Kamphorst, B. 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