EyeFormer - Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning

EyeFormer - Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Watch a 16-minute conference talk from the 37th Annual ACM Symposium on User Interface Software and Technology (UIST 2024) exploring an innovative approach to predicting personalized eye movement patterns using a combination of transformer architecture and reinforcement learning techniques. Learn about cutting-edge research in user interface technology that focuses on understanding and anticipating individual user gaze behavior, presented at this prestigious ACM conference in Pittsburgh, PA.