Estimating Quality Ratings from Touch Interactions in Mobile Games
Published in 10th International Conference on Quality of Multimedia Experience (QoMEX 2018), 2018
Trahms, C., Möller, S. & Voigt-Antons, J.-N.
This paper investigates whether implicit touch features (e.g., gesture speed, pressure variability, error corrections) predict users’ perceived quality in mobile games. Machine learning models trained on interaction logs achieved promising accuracy in estimating MOS without explicit questionnaires. The approach enables passive, fine-grained QoE monitoring in the wild.
Recommended citation: Trahms, C., Möller, S. & Voigt-Antons, J.-N. (2018, May). Estimating Quality Ratings from Touch Interactions in Mobile Games. Paper presented at the 10th International Conference on Quality of Multimedia Experience (QoMEX 2018), Sardinia, Italy. http://doi.org/10.1109/QoMEX.2018.8463419