Abstract
Eye tracking technology is a prospective tool for augmenting cognition in real-time in response to screen navigation and other eye movements that can be monitored. This paper examines eye movements associated with differences in problem complexity. The experiment utilized constraint satisfaction problems of differing difficulty measured by the number of steps necessary to complete and the relative time required to solve it. Participants were observed and tested through an eye-tracking experiment to see if correlations between visual navigation and problem complexity were present. Eye movement patterns, in particular pupil size, have been used to measure cognitive load in other contexts [6-9]. The results showed overall increases in fixations and pupil size that corresponded to increases in problem complexity.
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King, L.A. (2009). Visual Navigation Patterns and Cognitive Load. In: Schmorrow, D.D., Estabrooke, I.V., Grootjen, M. (eds) Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience. FAC 2009. Lecture Notes in Computer Science(), vol 5638. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02812-0_30
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DOI: https://doi.org/10.1007/978-3-642-02812-0_30
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