Content categorization based on implicit and explicit user feedback: Combining self-reports with EEG emotional state analysis

Abstract

We present a study that combines and compares explicit (questionnaire-generated) and implicit (EEG-based) feedback from test subjects on perceptual dimensions of different types of audiovisual content. We found significant differences in importance and evaluation of perceptual-, viewer-and clip-related dimensions across a limited set of contents. The results suggest that additional bio-feedback data can help to increase validity and robustness of user feedback in Quality of Experience (QoE) and content categorization research.