Perceptual Process

Perceptual processing research investigates how humans perceive and interact with information, focusing on understanding the interplay between sensory input, cognitive processes, and behavioral responses. Current research emphasizes developing unified models that predict both implicit (e.g., attention) and explicit (e.g., preferences) aspects of perception, often employing multimodal transformer architectures. This work is significant for improving human-computer interaction, optimizing content creation, and enhancing explainable AI by bridging the gap between objective measures and subjective human experience, ultimately leading to more user-centered and effective technologies.