Gaze Behavior

Gaze behavior research focuses on understanding how eye movements reflect cognitive processes, attention, and intentions, primarily through eye-tracking technology. Current research utilizes various model architectures, including transformers and Bayesian filters, to predict gaze patterns in diverse contexts like human-robot interaction, medical image analysis, and driver behavior, often incorporating multimodal data (e.g., speech, images). These advancements have significant implications for improving human-computer interaction, diagnosing developmental disorders, and enhancing the safety and efficiency of autonomous systems.