Authors:
Katrin Sippel
1
;
Thomas Kübler
1
;
Wolfgang Fuhl
1
;
Guilherme Schievelbein
1
;
Raphael Rosenberg
2
and
Wolfgang Rosenstiel
1
Affiliations:
1
University of Tübingen, Germany
;
2
University of Vienna, Austria
Keyword(s):
Eye-tracking, Analysis Software, Fixation Identification, Clustering, Areas of Interest.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Databases and Datawarehousing
;
Health Information Systems
;
Software Systems in Medicine
Abstract:
Over the last years eye tracking became more and more popular. A variety of new eye-tracker models and
algorithms for eye tracking data processing emerged. On the one hand this multitude of hard- and software
brought many advantages, on the other hand the diversity of devices and measures impedes the comparability
and repeatability of eye-tracking studies. While supply of eye tracking software is high, the functioning of the
algorithms, e.g. how fixations are identified, is often intransparent and unflexible. The Eyetrace software bundle
approaches these problems by providing a variety of different evaluation methods compatible with many
eye-tracker models.
Eyetrace2014 combines state-of-the-art algorithms with established approaches and provides a continuous
visualization of the analysis process. All calculations provide user adaptable parameters and are well documented
and referenced in order to make the whole analysis transparent.
Our software is available free of charge well suite
d for exploratory data analysis and education
(http://www.ti.uni-tuebingen.de/Eyetrace.1751.0.html).
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