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三维眼动分析

3-D eye movement analysis.

作者信息

Duchowski Andrew, Medlin Eric, Cournia Nathan, Murphy Hunter, Gramopadhye Anand, Nair Santosh, Vorah Jeenal, Melloy Brian

机构信息

Department of Computer Science, Clemson University, Clemson, South Carolina 29634-0974, USA.

出版信息

Behav Res Methods Instrum Comput. 2002 Nov;34(4):573-91. doi: 10.3758/bf03195486.

Abstract

This paper presents a novel three-dimensional (3-D) eye movement analysis algorithm for binocular eye tracking within virtual reality (VR). The user's gaze direction, head position, and orientation are tracked in order to allow recording of the user's fixations within the environment. Although the linear signal analysis approach is itself not new, its application to eye movement analysis in three dimensions advances traditional two-dimensional approaches, since it takes into account the six degrees of freedom of head movements and is resolution independent. Results indicate that the 3-D eye movement analysis algorithm can successfully be used for analysis of visual process measures in VR. Process measures not only can corroborate performance measures, but also can lead to discoveries of the reasons for performance improvements. In particular, analysis of users' eye movements in VR can potentially lead to further insights into the underlying cognitive processes of VR subjects.

摘要

本文提出了一种用于虚拟现实(VR)中双目眼动追踪的新型三维(3-D)眼动分析算法。追踪用户的注视方向、头部位置和方向,以便记录用户在环境中的注视点。尽管线性信号分析方法本身并不新颖,但其在三维眼动分析中的应用推进了传统的二维方法,因为它考虑了头部运动的六个自由度且与分辨率无关。结果表明,3-D眼动分析算法可成功用于VR中视觉过程测量的分析。过程测量不仅可以证实性能测量结果,还可以揭示性能提升的原因。特别是,对VR中用户眼动的分析可能会进一步深入了解VR受试者的潜在认知过程。

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