Reingold Eyal M
Department of Psychology, University of Toronto, Mississauga, ON, Canada.
Vis cogn. 2014 Mar;22(3):635-652. doi: 10.1080/13506285.2013.876481. Epub 2014 Mar 7.
Two methods for objectively measuring eye tracking data quality are explored. The first method works by tricking the eye tracker to detect an abrupt change in the gaze position of an artificial eye that in actuality does not move. Such a device, referred to as an artificial saccade generator, is shown to be extremely useful for measuring the temporal accuracy and precision of eye tracking systems and for validating the latency to display change in gaze contingent display paradigms. The second method involves an artificial pupil that is mounted on a computer controlled moving platform. This device is designed to be able to provide the eye tracker with motion sequences that closely resemble biological eye movements. The main advantage of using artificial motion for testing eye tracking data quality is the fact that the spatiotemporal signal is fully specified in a manner independent of the eye tracker that is being evaluated and that nearly identical motion sequence can be reproduced multiple times with great precision. The results of the present study demonstrate that the equipment described has the potential to become an important tool in the comprehensive evaluation of data quality.
探索了两种客观测量眼动追踪数据质量的方法。第一种方法是通过欺骗眼动追踪器来检测实际上并未移动的人工眼睛注视位置的突然变化。这种设备，称为人工扫视发生器，被证明对于测量眼动追踪系统的时间准确性和精度以及验证注视相关显示范式中显示变化的延迟非常有用。第二种方法涉及安装在计算机控制移动平台上的人工瞳孔。该设备旨在能够为眼动追踪器提供与生物眼动非常相似的运动序列。使用人工运动测试眼动追踪数据质量的主要优点是，时空信号以独立于被评估眼动追踪器的方式完全确定，并且几乎相同的运动序列可以高精度地多次再现。本研究结果表明，所描述的设备有可能成为全面评估数据质量的重要工具。
