Abstract
In the time of affordable and comfortable video-based eye tracking, the need for analysis software becomes more and more important. We introduce Eyetrace, a new software developed for the analysis of eye-tracking data during static image viewing. The aim of the software is to provide a platform for eye-tracking data analysis which works with different eye trackers, offering thus the possibility to compare results beyond the specific characteristics of the hardware devices. Furthermore, by integrating various state-of-the-art and new developed algorithms for analysis and visualization of eye-tracking data, the influence of different analysis steps and parameter choices on typical eye-tracking measures is totally transparent to the user. Eyetrace integrates several algorithms to identify fixations and saccades, and to cluster them. Well-established algorithms can be used side-by-side with bleeding-edge approaches with a continuous visualization. Eyetrace can be downloaded at http://www.ti.uni-tuebingen.de/Eyetrace.1751.0.html and we encourage its use for exploratory data analysis and education.
Thomas C. Kübler and Katrin Sippel — Contributed equally to this paper.
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Acknowledgements
We want to thank the department of art history at the university of Vienna for the inspiring collaboration. The project was partly financed by the the WWTF (Project CS11-023 to Helmut Leder and Raphael Rosenberg).
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Kübler, T.C. et al. (2015). Analysis of Eye Movements with Eyetrace. In: Fred, A., Gamboa, H., Elias, D. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2015. Communications in Computer and Information Science, vol 574. Springer, Cham. https://doi.org/10.1007/978-3-319-27707-3_28
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