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.

Download
OA
Conference Paper | Published | English
Abstract
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.
Publishing Year
PUB-ID

Cite this

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.
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.
Main File(s)
Access Level
OA Open Access
Last Uploaded
2014-02-03 16:04:01

Supplementary Material
File Title
Poster
Description
Poster going along with the long paper and the video submission. This poster was used for the demonstration booth at ETRA 2014.
Access Level
OA Open Access
Last Uploaded
2014-03-29 20:21:37
This data publication is cited in the following publications:
This publication cites the following data publications:

Export

0 Marked Publications

Open Data PUB

Search this title in

Google Scholar
ISBN Search