Combining automation and expertise: A semi-automated approach to correcting eye-tracking data in reading tasks.

IF 4.6 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Naser Al Madi, Brett Torra, Yixin Li, Najam Tariq
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引用次数: 0

Abstract

In reading tasks, drift can move fixations from one word to another or even another line, invalidating the eye-tracking recording. Manual correction is time-consuming and subjective, while automated correction is fast - yet limited in accuracy. In this paper, we present Fix8 (Fixate), an open-source GUI tool that offers a novel semi-automated correction approach for eye-tracking data in reading tasks. The proposed approach allows the user to collaborate with an algorithm to produce accurate corrections faster without sacrificing accuracy. Through a usability study (N = 14) we assess the time benefits of the proposed technique, and measure the correction accuracy in comparison to manual correction. In addition, we assess subjective workload through the NASA Task Load Index, and user opinions through Likert-scale questions. Our results show that, on average, the proposed technique was 44% faster than manual correction without any sacrifice of accuracy. In addition, users reported a preference for the proposed technique, lower workload, and higher perceived performance compared to manual correction. Fix8 is a valuable tool that offers useful features for generating synthetic eye-tracking data, visualization, filters, data converters, and eye-movement analysis in addition to the main contribution in data correction.

结合自动化和专业知识:在阅读任务中纠正眼球追踪数据的半自动化方法。
在阅读任务中,漂移可以将注意力从一个单词转移到另一个单词甚至另一行,从而使眼球追踪记录失效。手动校正耗时且主观,而自动校正速度快,但精度有限。在本文中,我们介绍了Fix8 (Fixate),这是一个开源GUI工具,它为阅读任务中的眼动追踪数据提供了一种新颖的半自动校正方法。所提出的方法允许用户与算法协作,在不牺牲精度的情况下更快地产生准确的更正。通过一项可用性研究(N = 14),我们评估了所提出技术的时间效益,并测量了与人工校正相比的校正精度。此外,我们通过NASA任务负载指数评估主观工作量,并通过李克特量表问题评估用户意见。我们的结果表明,在不牺牲精度的情况下,所提出的技术平均比人工校正快44%。此外,与手动校正相比,用户报告了对建议的技术的偏好,更低的工作量和更高的感知性能。Fix8是一个有价值的工具,除了在数据校正方面的主要贡献之外,它还提供了生成合成眼球跟踪数据、可视化、过滤器、数据转换器和眼球运动分析的有用功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.30
自引率
9.30%
发文量
266
期刊介绍: Behavior Research Methods publishes articles concerned with the methods, techniques, and instrumentation of research in experimental psychology. The journal focuses particularly on the use of computer technology in psychological research. An annual special issue is devoted to this field.
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