Eye-tracking technologies are becoming increasingly available and provide novel opportunities to learn more about human visual perception and cognitive processes. The project will explore an already collected eye-tracking dataset from Rhesus monkey subjects, and aims to investigate the links between gaze patterns and computational models of attention and reinforcement learning. Algorithms for eye fixation and movement (i.e., saccades) will be developed and used to quantitatively explain complex relationships between fixation patterns and choice behaviour, as well as several fixation-driven decision biases.
Eye-tracking is seeing growing use in biomedical research to improve existing clinical methods for screening and diagnostics, including for assessing cognitive functioning. This project aims to explore eye-tracking data analytics to investigate how eye movements relate to attentional mechanisms and provide insights into cognitive processes, such as learning and decision-making.Such outcomes may be interesting to explore in different contexts within FhP-AICOS: the Operator project is contemplating the use of automatic methods to measure focus and concentration at the workstation (especially while learning). Moreover, a tool to correlate gaze with attention and decision-making could be of interest to the HCD group.
Author: Pedro Madeira
Type: MSc thesis
Partner: Instituto de Medicina Molecular João Lobo Antunes