@inproceedings{OsterheiderKlapperichSteinetal.2023, author = {Osterheider, Angela and Klapperich, Holger and Stein, Elisabeth and Weiler, Tim and Endter, Cordula and Huldtgren, Alina and M{\"u}ller, Claudia}, title = {Conceptualization of the Understanding of Participation and Co-Creation in Interdisciplinary Research Groups developing Digital Health Technology: An Exploratory Study}, editor = {Stolze, Markus and Loch, Frieder and Baldauf, Matthias and Alt, Florian and Schneegrass, Christina and Kosch, Thomas and Hirzle, Teresa and Sadeghian, Shadan and Draxler, Fiona and Bektas, Kenan and Lohan, Katrin and Knierim, Pascal}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {979-8-4007-0771-1}, doi = {10.1145/3603555.3608572}, pages = {534 -- 538}, year = {2023}, abstract = {The healthcare sector's digital transformation necessitates the involvement of stakeholders through participation and co-creation processes. This study aims to investigate the understanding and implementation of participation and co-creation in the development of hybrid interaction technologies in healthcare. Eight interdisciplinary research projects were examined through semi-structured group interviews with 49 participants from academia, industry, and the application field. The interviews focused on participants' perspectives on project goals, user groups, access to the field, methods of participation and co-creation, and user motivation. The results highlight the diverse understandings of participation and co-creation, with some perceiving them as research-driven and others as already embedded in user- centered design. The projects emphasized user needs but often excluded stakeholders from collaborative decision-making. Challenges in achieving continuous involvement and co-decision were acknowledged. The findings underscore the need for reflexive practice and evaluation of participation and co-creation throughout the development process, as well as further research on participation across projects. By addressing these challenges and embracing participatory approaches, digital health applications can better address ethical concerns, build trust, and increase acceptance and adoption in the healthcare sector.}, language = {en} } @article{PaluchWeilerEichelbergetal.2025, author = {Paluch, Richard and Weiler, Tim and Eichelberg, Marco and Hein, Andreas and Huldtgren, Alina and H{\"u}lsken-Giesler, Manfred and Meyer, Sibylle and M{\"u}ller, Claudia}, title = {AI and robotic systems in healthcare}, series = {i-com: Journal of Interactive Media}, journal = {i-com: Journal of Interactive Media}, publisher = {De Gruyter}, issn = {1618-162X}, doi = {10.1515/icom-2025-0010}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-52336}, pages = {3}, year = {2025}, subject = {Maschinelles Lernen}, language = {en} } @inproceedings{WeilerStruzekMuelleretal.2024, author = {Weiler, Tim and Struzek, David and M{\"u}ller, Claudia and Huldtgren, Alina and Klapperich, Holger and Grosskopp, Sabrina and Fischer, Florian and Osterheider, Angela and Gaertner, Wanda}, title = {2nd International Workshop on Co-Creation of Hybrid Interactive Systems for Healthcare: Integrating Interdisciplinary and Interprofessional Perspectives in Healthcare Innovation}, series = {Mensch und Computer 2024 - Workshopband}, booktitle = {Mensch und Computer 2024 - Workshopband}, publisher = {Gesellschaft f{\"u}r Informatik e.V.}, doi = {10.18420/muc2024-mci-ws03-120}, pages = {5}, year = {2024}, abstract = {Recent advancements in data science and AI-driven healthcare technologies are bringing up novel opportunities for innovations, such as personalized medicine, self diagnostic tools for everyday use, or hybrid healthcare models. However, the development of these technologies often overlooks the perspectives of patients and their families and socio-cultural surroundings, posing significant social, technological, and ethical challenges related to data bias, empowerment or surveillance, respectively. Bringing together interdisciplinary, interprofessional, and intersectoral collaboration in a systematic way seems to be a crucial element for adressing these issues and ensuring the meaningful integration of sensitive data and AI technologies into patient-centred healthcare arrangements. In this workshop, researchers and practitioners from diverse related disciplines, including HCI, AI, social and cultural sciences, healthcare, gerontology, etc., are invited to share their case studies on innovative health technologies and medical AI. Drawing from contextual best practices, as well as challenges and failures, the workshop organizers aim to collectively devise a systematic approach for co-designing and implementing telemedical innovations in real-world healthcare settings.}, subject = {K{\"u}nstliche Intelligenz}, language = {en} }