Cognitive Style Model Construction Based on Machine Learning and Eye Tracking

Abstract

At the intersection of artificial intelligence and cognitive psychology, the construction of cognitive style models based on machine
learning and eye tracking is becoming an emerging research hotspot. With the advancement of technology, eye-tracking techniques have been
able to accurately capture individuals attention distribution and information processing patterns in visual tasks, while machine learning algorithms are capable of extracting features from large amounts of data to construct personalised cognitive style models. Based on this, the construction of cognitive style models based on machine learning and eye tracking is discussed below for reference.