Computer Graphics from a Bio-Signal Perspective – Exploration of Autonomic Human Physiological Responses to Synthetic and Natural Imagery

Conventional self-assessment questionnaires capture only conscious, often biased impressions of visual content and lack real-time feedback. This thesis augments those measures with involuntary bio-signals—EEG, eye tracking, galvanic skin response, and cardiac-respiratory data—recorded while people view computer-generated and real-world images on monitors and VR displays. By probing the gap between what viewers consciously report and what their bodies instantly register, we develop new methods to detect and analyze immediate physiological reactions to visual stimuli, advancing objective evaluation in perceptual graphics.