DBPapers
DOI: 10.5593/SGEM2014/B21/S8.091

OPTIMAL EYE FIXATION DETECTION SETTINGS FOR CARTOGRAPHIC PURPOSES

S. Popelka
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-10-0 / ISSN 1314-2704, June 19-25, 2014, Book 2, Vol. 1, 705-712 pp

ABSTRACT
Eye-tracking technology was not fully utilized in the cartography or geosciences yet. With its use, ways of users reading of maps can be revealed, and maps can be optimized. Before eye-tracking evaluation, it is necessary to detect eye-movements like fixations and saccades. Paper deals with the evaluation of four different settings of the dispersion-based algorithm for optimal fixation detection for evaluation of maps. Data for the case study originated from the cartographic studies, where stimuli displayed the classical orthogonal maps and their 3D (perspective) equivalents. The paper describes the basics of eye movement recordings, its history and used methods. An emphasis is placed on the remote methods, which uses digital images of the front of the eye. Image recognition methods are used for detecting the position of the eye. From these data, fixations and saccades are calculated. Number of a detection algorithm exists. For the data recorded with a sampling frequency lower than 250Hz, IDT is mostly used. It is essential to find out the best settings of this algorithm. In the case study, three existing threshold settings were compared with the new one. Calculated fixations were compared with the plot of raw data, and the most relevant settings were chosen. For eye-movement analysis, it is possible to use software from the manufacturer, but there exist also the open-source alternative. Software OGAMA is fully sufficient for data analyses, but fixation detection thresholds are entered in a different way. Paper also describes the optimal fixation detection settings in this software. As a result, the fixation detection thresholds for I-DT which represents the recorded data at the best were created. Subsequently, the most corresponding settings were chosen in the open-source software for gaze analyses. The optimal eye fixation detection settings can be used in other cartographic studies using eye-tracking as the main evaluation method.

Keywords: Eye-tracking, Eye-movements, Fixation, Detection, Cartography

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