A Simple(r) Tool For Examining Fixations

Keywords: software, matlab, open source, nearest-neighbor, fixations


This short paper describes an update of A Simple Tool For Examining Fixations (ASTEF) developed for facilitating the examination of eye-tracking data and for computing a spatial statistics algorithm that has been validated as a measure of mental workload (namely, the Nearest Neighbor Index: NNI). The code is based on MatlabĀ® 2013a and is currently distributed on the web as an open-source project. This implementation of ASTEF got rid of many functionalities included in the previous version that are not needed anymore considering the large availability of commercial and open-source software solutions for eye-tracking. That makes it very easy to compute the NNI on eye-tracking data without the hassle of learning complicated tools. The software also features an export function for creating the time series of the NNI values computed on each minute of the recording. This feature is crucial given that the spatial distribution of fixations must be used to test hypotheses about the time course of mental load.

Author Biography

Francesco Di Nocera, Sapienza University of Rome
Associate Professor at the Department of Psychology, Sapienza University of Rome
How to Cite
Di Nocera, F., Capobianco, C., & Mastrangelo, S. (2016). A Simple(r) Tool For Examining Fixations. Journal of Eye Movement Research, 9(4). https://doi.org/10.16910/jemr.9.4.3.