Publication Date
Fall 2024
Degree Type
Master's Project
Degree Name
Master of Science in Computer Science (MSCS)
Department
Computer Science
First Advisor
Nada Attar
Second Advisor
Robert Chun
Third Advisor
Navrati Saxena
Keywords
Visual Search, Eye Tracking, Working Memory Load, Cognitive Load, Executive Functions, Pupillometry
Abstract
Van der Wel & Van Steenbergen mention that there has been a surge in pupillometry research in the past two decades, particularly in the area of task-evoked pupil dilation in the context of cognitive control tasks. The goal of most of these studies has been focused on finding a link between pupil dilation and effort exerted by an individual [10]. The review by authors Van der Wel & Van Steenbergen, aimed to assess the potential of pupil dilation as an indicator of effort rather than task complexity. Their analysis revealed that heightened task demands in domains such as updating, switching, and inhibition generally corresponded to increased pupil dilation. However, the relationship between pupil dilation and performance varies across studies. By interpreting pupil dilation as an indicator of effort exertion, researchers can gain valuable insights into the differences observed across these studies. [10]
Recommended Citation
Antony, Neenu, "Exploring Fluctuations in Working Memory Load through Pupillometry using Gabor Image Deletion Tasks" (2024). Master's Projects. 1458.
https://scholarworks.sjsu.edu/etd_projects/1458
