Multifractal analysis of eye tracking data

FREIJE, M. LUJÁN; SPECHT, JUAN IGNACIO; JIMENEZ GANDICA, ADRIÁN; DIMIERI, LEONARDO; DELRIEUX, CLAUDIO; STOSIC, BORKO; STOSIC, TANJA; GASANEO, GUSTAVO

Buenos Aires

Encuentro; 2nd Latin American Brain Mapping Network Meeting; 2017

Latin American Brain Mapping Network (LABMAN)

In everyday life human beings perform repetitively different cognitive activities, many of which are based in our ability to understand what we see. For instance, in performing a visual search we unconsciously execute an algorithm (likely learnt by our brain by trial and error) to find the object of interest as efficiently as possible. The way in which our eyes perform search includes information about our cognitive ability to recognize objects, to distinguish shapes and colors, to compare sizes, and so on. Despite the influx of recent research, it is still a challenge to understand how and why all these cognitive abilities are learnt and applied by humans. In this respect, the registration and analysis of eye movements are opening new research venues that allow to understand how these and other cognitive tasks are performed. Eye tracking in particular is one of the most promising technologies able to distinguish and characterize the search strategies used by different persons in the execution of cognitive tasks.In this work we implemented several experimental paradigms, where the task in each of them was to search for differences between two similar images. During the experiments, the eye movements of the subjects were. Then, multifractal analysis was performed to identify the different features that arose during the search. A preliminary analysis of the results shows that multifractal analysis applied to eye tracking is able to characterize the different features of eye movement, both in inter-subject and intra-subject experiments.