Human-Computer Interaction

GEtiT: Enhancing the Training Game's Functionality



GEtiT, the Gamified Training Environment for Affine Transformations, is a demonstrator for the Gamified Knowledge Encoding that directly encodes abstract knowledge in game mechanics for the purpose of an optimal transfer-oriented knowledge training. GEtiT achieves an intuitive training of affine transformations in an engaging 3D environment and helps learners to develop an in-depth understanding of this complex learning content.


This project aims at the further improvement of GEtiT by implementing:


Contact Persons at the University Würzburg

Sebastian Oberdörfer (Primary Contact Person)
Human-Computer Interaction, Universität Würzburg

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