Using Eye-Tracking and Correlates of Brain Activity to Predict Quality Scores
Published in 6th Int. Workshop on Quality of Multimedia Experience (QoMEX 2014), 2014
Arndt, S., Radun, J., Antons, J.-N. & Möller, S.
This poster evaluates whether objective measures—eye movements and EEG features—can predict subjective quality ratings of video. Models using fixation patterns and event-related activity explained significant variance in mean opinion scores, outperforming baselines relying on signal metrics alone. Results support multimodal user-centric prediction for QoE assessment.
Recommended citation: Arndt, S., Radun, J., Antons, J.-N. & Möller, S. (2014, September). Using Eye-Tracking and Correlates of Brain Activity to Predict Quality Scores. Poster presented at the 6th Int. Workshop on Quality of Multimedia Experience (QoMEX 2014), Singapore. https://doi.org/10.1109/QoMEX.2014.6982332