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CSS at INGE-St. Day

Under the title MIND & BRAIN, the INGE-St. Day on December 2, 2024, showcased current research projects from several universities in Graz. The Cognitive Science Section contributed with poster presentations from the A+CHIS and ITHACA projects. The event provided an excellent opportunity to share insights into one’s own research, network with early-career researchers and experts, and explore exciting projects from other participants.
See also:
Poster ITHACA
https://cognitive-science.at/projects/ithaca/
Poster A+CHIS
https://cognitive-science.at/projects/apchis/
https://gehirnforschung.at/inge-st/


A+CHIS at the Long Night of Research 2024

Together with our colleagues from the Graz University of Technology and the Medical University of Graz, the Cognitive Science Section team at the Graz University managed an interactive booth at the Long Night of Research 2024 in Graz on May 24th (https://langenachtderforschung.at/). Numerous visitors had the opportunity to try out the current version of the A+CHIS-prototype, experiencing research firsthand during its development and evaluation phases. At the same time, their interest and valuable feedback made a significant contribution towards creating a user-oriented and easily accessible consumer health information system.

Visiting Professor Xiangen HU

Xiangen HU will be COLIBRI Fellow and Visiting Professor at Cognitive Science Section, Institute of Psychology, University of Graz.

Xiangen HU will hold a special seminar on Self Improving and Self Adaptive Systems – Exemplified by Intelligent Tutoring at University of Graz.
More Information can be found here (UNIGRAZonline – business card) and here (UNIGRAZonline – courses offered).

More Information on Xiangen HU can be found here.

Neue FWF-Forschungsgruppe beginnt ihre Arbeit

Neue FWF-Forschungsgruppe - Gruppenfoto Albert, Kubicek, Semlitsch, Schreck, Bedek, Siebenhofer-Kroitzsch, Shao, Jeitler

Dietrich Albert, Bettina Kubicek, Thomas Semlitsch, Tobias Schreck, Michael Bedek, Andrea Siebenhofer-Kroitzsch, Lin Shao, Klaus Jeitler. Foto: TU Graz/Lunghammer

TU Graz, Med Uni Graz und Uni Graz arbeiten an einem Informationssystem, das medizinische Inhalte zielgerichtet auf Personen zuschneidet.

Ein digitales Medium, das Vorhersagen über das individuelle Informationsbedürfnis von Nutzerinnen und Nutzern treffen kann, deren kognitiven Fähigkeiten erkennt und auf Basis dieser Daten qualitativ hochwertige medizinische Inhalte verständlich und anschaulich vermittelt? Continue reading