Psychophysiological and Multimodal Quality Assessment

Focus areas:

• EEG, eye-tracking, biosignals for analyzing quality perception
• Quality of Experience (QoE) for speech, video, gaming, and multimedia
• Emotion detection and modeling in media consumption
• Cognitive-affective UX modeling using physiological data
• Standardization in QoE measurement (e.g., ITU-T, ISO)

To better understand how people perceive digital systems and content, we apply psychophysiological and behavioral methods in the study of user experience, emotion, and quality perception. We use electroencephalography (EEG), eye tracking, heart rate variability, and other biosignals to measure implicit responses to media and interaction. This enables us to go beyond self-report and capture continuous, objective indicators of mental workload, attention, fatigue, and affect. Our research contributes to quality of experience (QoE) models and international standards for the evaluation of speech, video, gaming, and XR systems. Ultimately, we seek to build adaptive systems that respond meaningfully to users’ cognitive and emotional states.