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Title: SaccadeMachine: software for analyzing saccade tests (anti-saccade and pro-saccade)
Authors: Mardanbegi, Diako
Wilcockson, Thomas D.W.
Sawyer, Peter
Gellersen, Hans
Crawford, Trevor J.
Keywords: Eye tracking
Saccade test
Eye movement
Issue Date: 2019
Publisher: © ACM
Citation: MARDANBEGI, D. ... et al, 2019. SaccadeMachine: software for analyzing saccade tests (anti-saccade and pro-saccade). IN: ETRA '19 Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, Denver, Colorado, USA, 25-28 June 2019, Article No. 72.
Abstract: Various types of saccadic paradigms, in particular, Prosaccade and Antisaccade tests are widely used in Pathophysiology and Psychology. Despite been widely used, there has not been a standard tool for processing and analyzing the eye tracking data obtained from saccade tests. We describe an open-source software for extracting and analyzing the eye movement data of different types of saccade tests that can be used to extract and compare participants’ performance and various task-related measures across participants. We further demonstrate the utility of the software by using it to analyze the data from an antisaccade, and a recent distractor experiment.
Description: This paper is closed accessed until 26th June 2019. © ACM 2019. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ETRA '19 Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, http://dx.doi.org/10.1145/3317956.3318148.
Version: Accepted for publication
DOI: 10.1145/3317956.3318148
URI: https://dspace.lboro.ac.uk/2134/37951
Publisher Link: https://dl.acm.org/citation.cfm?id=3318148
ISBN: 9781450367097
Appears in Collections:Closed Access (Sport, Exercise and Health Sciences)

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