GazeMetrics:一个用于测量基于hmd的眼动仪数据质量的开源工具。

Isayas B Adhanom, Samantha C Lee, Eelke Folmer, Paul MacNeilage
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引用次数: 15

摘要

随着虚拟现实(VR)技术在眼动追踪研究中越来越受到关注,对基于头戴式显示器(HMD)的眼动仪的准确性和精密度的了解变得越来越有必要。人们很容易依赖制造商提供的有关眼动仪准确性和精度的信息。然而,除非在理想条件下收集数据,否则这些值很少与现场指标一致。因此,最佳实践要求对每项研究的准确性和精密度进行测量和报告。为了解决这个问题,我们提供了一个新颖的开源套件,用于严格测量各种基于hmd的眼动仪的准确性和精度。这个工具是可定制的,不需要更改源代码,但是对代码的更改允许进一步的更改。输出是实时的,易于解释,使眼动追踪与VR更接近所有用户。
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GazeMetrics: An Open-Source Tool for Measuring the Data Quality of HMD-based Eye Trackers.
As virtual reality (VR) garners more attention for eye tracking research, knowledge of accuracy and precision of head-mounted display (HMD) based eye trackers becomes increasingly necessary. It is tempting to rely on manufacturer-provided information about the accuracy and precision of an eye tracker. However, unless data is collected under ideal conditions, these values seldom align with on-site metrics. Therefore, best practices dictate that accuracy and precision should be measured and reported for each study. To address this issue, we provide a novel open-source suite for rigorously measuring accuracy and precision for use with a variety of HMD-based eye trackers. This tool is customizable without having to alter the source code, but changes to the code allow for further alteration. The outputs are available in real time and easy to interpret, making eye tracking with VR more approachable for all users.
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