EyeSee3D: a low-cost approach for analysing mobile 3D eye tracking data using augmented reality technology

Pfeiffer T, Renner P (2014)
In: Proceedings of the Symposium on Eye Tracking Research and Applications. New York: ACM: 195-202.

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Konferenzbeitrag | Veröffentlicht | Englisch
Abstract / Bemerkung
For validly analyzing human visual attention, it is often necessary to proceed from computer-based desktop set-ups to more natural real-world settings. However, the resulting loss of control has to be counterbalanced by increasing participant and/or item count. Together with the effort required to manually annotate the gaze-cursor videos recorded with mobile eye trackers, this renders many studies unfeasible. We tackle this issue by minimizing the need for manual annotation of mobile gaze data. Our approach combines geo\-metric modelling with inexpensive 3D marker tracking to align virtual proxies with the real-world objects. This allows us to classify fixations on objects of interest automatically while supporting a completely free moving participant. The paper presents the EyeSee3D method as well as a comparison of an expensive outside-in (external cameras) and a low-cost inside-out (scene camera) tracking of the eyetracker's position. The EyeSee3D approach is evaluated comparing the results from automatic and manual classification of fixation targets, which raises old problems of annotation validity in a modern context.
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Titel des Konferenzbandes
Proceedings of the Symposium on Eye Tracking Research and Applications
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195-202
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Pfeiffer T, Renner P. EyeSee3D: a low-cost approach for analysing mobile 3D eye tracking data using augmented reality technology. In: Proceedings of the Symposium on Eye Tracking Research and Applications. New York: ACM; 2014: 195-202.
Pfeiffer, T., & Renner, P. (2014). EyeSee3D: a low-cost approach for analysing mobile 3D eye tracking data using augmented reality technology. Proceedings of the Symposium on Eye Tracking Research and Applications, 195-202. doi:10.1145/2578153.2578183
Pfeiffer, T., and Renner, P. (2014). “EyeSee3D: a low-cost approach for analysing mobile 3D eye tracking data using augmented reality technology” in Proceedings of the Symposium on Eye Tracking Research and Applications (New York: ACM), 195-202.
Pfeiffer, T., & Renner, P., 2014. EyeSee3D: a low-cost approach for analysing mobile 3D eye tracking data using augmented reality technology. In Proceedings of the Symposium on Eye Tracking Research and Applications. New York: ACM, pp. 195-202.
T. Pfeiffer and P. Renner, “EyeSee3D: a low-cost approach for analysing mobile 3D eye tracking data using augmented reality technology”, Proceedings of the Symposium on Eye Tracking Research and Applications, New York: ACM, 2014, pp.195-202.
Pfeiffer, T., Renner, P.: EyeSee3D: a low-cost approach for analysing mobile 3D eye tracking data using augmented reality technology. Proceedings of the Symposium on Eye Tracking Research and Applications. p. 195-202. ACM, New York (2014).
Pfeiffer, Thies, and Renner, Patrick. “EyeSee3D: a low-cost approach for analysing mobile 3D eye tracking data using augmented reality technology”. Proceedings of the Symposium on Eye Tracking Research and Applications. New York: ACM, 2014. 195-202.
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2014-02-03T16:04:01Z

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Poster going along with the long paper and the video submission. This poster was used for the demonstration booth at ETRA 2014.
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OA Open Access
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2014-03-29T20:21:37Z

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