Published: 23^rd November, 2023

 

 

A Comparative Analysis Between Scan-path and Fixations on Event-Related Potentials

 

 

Fatima Isiaka
Sophia Al Sharji

 

Abstract

In usability studies, when observation is made on a particular image or object on a visual stimulus online, the perception of the user depends upon the preceding expectations, subtle cognitive abilities and user memory. The hypothesis is usually set that subtle cognitive processes are in the form of bottom-to-up processing or a top to down processing, and this could be determined through analysis of the fixation points on the scan-path made by the eye movement on the screen. Normally, to access the variations on the scan path, user data from eye movement predictions is analysed using a four-by-four grid pattern, which is superimposed on the visual stimuli to determine the user’s eye fixation dispersal pattern. This is mostly based on the assumption that the visual interface is viewed as a 2-dimensional visual field (Cartesian plane). As part of the contribution to usability studies, this paper approaches predictions of fixation and scan path, by determining the Euclidean distance between fixation points, and determining the shortest scan path between fixation points using Dijkstra’s Algorithm for momentous subtle cognitive response to visual stimuli in the form of dynamic contents on webpages and to predict ixation points of eye movement based on constriction and dilation of the pupil response. A comparison was made between the predicted significant subtle cognitive response of the users and the trivial subtle cognitive response of the users from their fixation scan path. The trivial, subtle cognitive response possesses the highest performance for all trials on eye movement data, and it is set as a reliable dataset to predict eye movement on visual fields with the hypothesis that the webpage visual field is assumed to be a multi-dimensional Cartesian plane.

Keywords: Visual field, subtle cognitive response, Fixation points, Scan-path, Shortest path, Euclidean distance, Webpage visual field

 

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