Publication Date
1-1-2022
Document Type
Conference Proceeding
Publication Title
Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science
DOI
10.11159/mhci22.103
Abstract
In this study, we were able to show how cognitive load measurement during the initiation of a complex visual task can predict user response. We measured cognitive load using pupil size and microsaccade rate. The initial phase of task was defined as the first 25 percent of the trial Reaction Time (RT), which was variable up to 50 seconds. The complex visual task entailed a set of twelve words that could be grouped based into 1, 2, or 3 categories or sets, e.g., the words bed, pillow, headboard, etc. can be grouped into a single set that is bedroom. We found a significant correlation between initial cognitive load and final user response to the task. This study provides new insights into the initial cognitive processes that would have practical applications in adaptive user interface design, early warning controls, and detection in human performance.
Keywords
Cognitive Load, Eye Movement, Initial Response, Visual Tasks
Department
Computer Science
Recommended Citation
Reem Albaghli, Yaman Jandali, Sarah Almahmid, and Nada Attar. "Leveraging Initial Cognitive Load to Predict User Response to Complex Visual Tasks" Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science (2022). https://doi.org/10.11159/mhci22.103
Comments
This is the Version of Record and can also be read online here.