Tracking the Gaze on Objects in 3D: How do People Really Look at the Bunny?

Wang, Xi and Koch, Sebastian and Holmqvist, Kenneth and Alexa, Marc (2018) Tracking the Gaze on Objects in 3D: How do People Really Look at the Bunny? ACM TRANSACTIONS ON GRAPHICS, 37 (6): 188. ISSN 0730-0301, 1557-7368

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Abstract

We provide the first large dataset of human fixations on physical 3D objects presented in varying viewing conditions and made of different materials. Our experimental setup is carefully designed to allow for accurate calibration and measurement. We estimate a mapping from the pair of pupil positions to 3D coordinates in space and register the presented shape with the eye tracking setup. By modeling the fixated positions on 3D shapes as a probability distribution, we analysis the similarities among different conditions. The resulting data indicates that salient features depend on the viewing direction. Stable features across different viewing directions seem to be connected to semantically meaningful parts. We also show that it is possible to estimate the gaze density maps from view dependent data. The dataset provides the necessary ground truth data for computational models of human perception in 3D.

Item Type: Article
Uncontrolled Keywords: EYE-MOVEMENTS; ATTENTION; AFFINITY; eye tracking; mesh saliency; 3D object viewing
Subjects: 100 Philosophy & psychology > 150 Psychology
Divisions: Psychology and Pedagogy > Institut für Psychologie
Depositing User: Dr. Gernot Deinzer
Date Deposited: 05 Dec 2019 11:59
Last Modified: 05 Dec 2019 11:59
URI: https://pred.uni-regensburg.de/id/eprint/13567

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