Vakken

Recente publicaties

  1. Human-Game AI Interaction - Report from Dagstuhl Seminar 22251

    Ashlock, D., Maghsudi, S., Perez Liebana, D., Spronck, P., & Eberhardinger, M. (2023). Human-Game AI Interaction: Report from Dagstuhl Seminar 22251. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
  2. LoCoMoTe – a framework for classification of natural locomotion in VR…

    Croucher, C., Powell, W., Stevens, B., Miller-Dicks, M., Powell, V., Wiltshire, T., & Spronck, P. (Accepted/In press). LoCoMoTe – a framework for classification of natural locomotion in VR by task, technique and modality. IEEE Transactions on Visualization and Computer Graphics.
  3. Predicting Tetris Performance Using Early Keystrokes

    Guglielmo, G., Klincewicz, M., Veld, E. H. I. ., & Spronck, P. (2023). Predicting Tetris Performance Using Early Keystrokes. In P. Lopes, F. Luz, A. Liapis, & H. Engstrom (Eds.), Proceedings of the 18th International Conference on the Foundations of Digital Games, FDG 2023 (pp. 1-4). Article 46 (ACM International Conference Proceeding Series). ACM.
  4. Tracking Early Differences in Tetris Performance using Eye Aspect Rat…

    Guglielmo, G., Klincewicz, M., Huis in 't Veld, E., & Spronck, P. (Accepted/In press). Tracking Early Differences in Tetris Performance using Eye Aspect Ratio Extracted Blinks. IEEE Transactions on Games, 1-8.
  5. Gamified Motor Learning Through High-Fidelity Sensor Technology

    Mavromoustakos Blom, P., Mylonas, V., Nikodelis, T., Konstantakos, V., Spronck, P., Loizidis, T., & Mayer, I. (2023). Gamified Motor Learning Through High-Fidelity Sensor Technology. In Conference on Serious Games and Applications for Health

Vind een expert of expertise