The relationship between scan path direction and cognitive processing

Authors:
Mathew Hunter;Quoc Hao Mach;Ratvinder S. Grewal
Affiliations:
Laurentian University, Sudbury, ON;Laurentian University, Sudbury, ON;Laurentian University, Sudbury, ON
Venue:
Proceedings of the Third C* Conference on Computer Science and Software Engineering
Year:
2010

Citing 4
Cited 0

Performance, preference, and visual scan patterns on a menu-based system: implications for interface design

CHI '89 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer's disease patients with high degree of accuracy

Artificial Intelligence in Medicine
EEG-Related Changes in Cognitive Workload, Engagement and Distraction as Students Acquire Problem Solving Skills

UM '07 Proceedings of the 11th international conference on User Modeling
FEATURE: Neuroscience and the future of human-computer interaction

interactions - The Counterfeit You

Quantified Score

Hi-index	0.02

Visualization

Abstract

Researchers have tracked eye movement in order to determine focal attention for the last hundred years. As technology has advanced the tools and equipment utilized has led to greater insights into the psychology and physiology associated with scanning patterns which are not solely limited to attention processes. This research expands upon this by incorporating neurophysiological techniques to assess cognitive processing associated with directional scan paths and the potential associations of task dependent neural networks when interacting with the interface. It is hypothesized that the scan path direction reflects a user's cognitive processing. The results of this study indicate that the cognitive processing involved with the direction of the scan path differ with increased activity in networks involved with encoding, spatial attention, short term memory and error processing when eye scanning is towards the right. These results may be utilized to understand perceptual limitations within an interface which may be utilized for design purposes.