TY - GEN
T1 - Analysis of eye movements with eyetrace
AU - Kübler, Thomas C.
AU - Sippel, Katrin
AU - Fuhl, Wolfgang
AU - Schievelbein, Guilherme
AU - Aufreiter, Johanna
AU - Rosenberg, Raphael
AU - Rosenstiel, Wolfgang
AU - Kasneci, Enkelejda
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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 soft- ware 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.
AB - 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 soft- ware 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.
UR - http://www.scopus.com/inward/record.url?scp=84955302529&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-27707-3_28
DO - 10.1007/978-3-319-27707-3_28
M3 - Conference contribution
AN - SCOPUS:84955302529
SN - 9783319277066
T3 - Communications in Computer and Information Science
SP - 458
EP - 471
BT - Biomedical Engineering Systems and Technologies - 8th International Joint Conference, BIOSTEC 2015, Revised Selected Papers
A2 - Elias, Dirk
A2 - Fred, Ana
A2 - Gamboa, Hugo
PB - Springer Verlag
T2 - 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015
Y2 - 12 January 2015 through 15 January 2015
ER -