Advancing Dynamic-Time Warp Techniques for Correcting Eye Tracking Data in Reading Source Code

IF 1.3 4区 心理学 Q3 OPHTHALMOLOGY
Naser Al Madi
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引用次数: 0

Abstract

Background: Automated eye tracking data correction algorithms such as Dynamic-Time Warp always made a trade-off between the ability to handle regressions (jumps back) and distortions (fixation drift). At the same time, eye movement in code reading is characterized by non-linearity and regressions. Objective: In this paper, we present a family of hybrid algorithms that aim to handles both regressions and distortions with high accuracy. Method: Through simulations with synthetic data we replicate known eye movement phenomena to assess our algorithms against Warp algorithm as a baseline. Furthermore, we utilize three real datasets to evaluate the algorithms in correcting data from reading source code and see if the proposed algorithms generalize to correcting data from reading natural language text. Results: Our results demonstrate that most proposed algorithms match or outperform baseline warp in correcting both synthetic and real data. Also, we show the prevalence of regressions in reading source code. Conclusion: Our results highlight our hybrid algorithms as an improvement to Dynamic-Time Warp in handling regressions with higher accuracy and better runtime.
在阅读源代码时推进用于修正眼动跟踪数据的动态时间扭曲技术
背景:自动眼动跟踪数据校正算法(如动态时间扭曲)总是要在处理回归(回跳)和失真(定点漂移)的能力之间做出权衡。同时,读码时的眼球运动具有非线性和回归的特点。目标在本文中,我们提出了一系列混合算法,旨在高精度地处理回归和失真。方法:通过对合成数据的模拟,我们复制了已知的眼动现象,并以 Warp 算法为基准对我们的算法进行了评估。此外,我们还利用三个真实数据集来评估这些算法在校正源代码阅读数据方面的效果,并了解所提出的算法是否可用于校正自然语言文本阅读数据。结果我们的结果表明,在修正合成数据和真实数据时,大多数建议的算法都能与基线 warp 相匹敌,甚至优于基线 warp。此外,我们还显示了在阅读源代码时普遍存在的回归现象。结论我们的结果凸显了我们的混合算法在处理回归方面对动态时间 warp 的改进,具有更高的准确性和更好的运行时间。
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来源期刊
CiteScore
2.90
自引率
33.30%
发文量
10
审稿时长
10 weeks
期刊介绍: The Journal of Eye Movement Research is an open-access, peer-reviewed scientific periodical devoted to all aspects of oculomotor functioning including methodology of eye recording, neurophysiological and cognitive models, attention, reading, as well as applications in neurology, ergonomy, media research and other areas,
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