基于注视的眼疲劳负荷指数:基于注视的交互的多因素测量

Mohsen Parisay, Charalambos (Charis) Poullis, Marta Kersten-Oertel
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引用次数: 14

摘要

眼疲劳是眼动追踪应用中常见的挑战,由身体和/或精神触发引起。在眼动追踪的应用中,尤其是在停留时间方法中,需要对其影响进行分析。随着新兴的交互技术变得越来越复杂,应该从各个方面分析它们的影响。我们提出了一种新的基于注视的交互技术的复合测量方法,该方法将主观的NASA TLX分数与眼球运动注视点的客观测量相结合。该测量包括两个变量,取决于(a)性能和(b)准确性的重要性,用于测量眼动追踪交互时潜在的眼疲劳。这些变化使研究人员能够根据不同的标准比较眼动追踪技术。我们在两项有33名参与者的用户研究中评估了我们的措施,并报告了使用语音识别技术比较停留时间和基于凝视的选择的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FELiX: Fixation-based Eye Fatigue Load Index A Multi-factor Measure for Gaze-based Interactions
Eye fatigue is a common challenge in eye tracking applications caused by physical and/or mental triggers. Its impact should be analyzed in eye tracking applications, especially for the dwell-time method. As emerging interaction techniques become more sophisticated, their impacts should be analyzed based on various aspects. We propose a novel compound measure for gaze-based interaction techniques that integrates subjective NASA TLX scores with objective measurements of eye movement fixation points. The measure includes two variations depending on the importance of (a) performance, and (b) accuracy, for measuring potential eye fatigue for eye tracking interactions. These variations enable researchers to compare eye tracking techniques on different criteria. We evaluated our measure in two user studies with 33 participants and report on the results of comparing dwell-time and gaze-based selection using voice recognition techniques.
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