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Eye-Tracking Based L2 Detection: Universal and Specific Eye Movement Patterns in L1 and L2 Reading

机译:基于眼睛跟踪的L2检测:L1和L2读取的通用和特定眼睛运动模式

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The native (L1) and foreign (L2) languages a person speaks are an important constituent part of their individual profile. This study explores the potential of eye tracking as a diagnostic tool that allows to reliably identify reader non-nativeness in L1 and L2 text reading. The eye movements of native Russian-speaking students with above-average proficiency in both the languages were tracked while they were reading L1 and L2 texts. For selected measurement types such as average fixation duration, some general distributional patterns were confirmed. However, L2 reading also evidenced some distinct features compared to L1 performance, despite the readers’ high proficiency in both the languages. The distributional patterns for fixations and saccades in L1 and L2 reading can be informative to optimize adaptive thresholding algorithms of eye tracking based non-nativeness detection.
机译:本机(L1)和外国(L2)语言一个人说话是个人档案的重要组成部分。本研究探讨了眼睛跟踪作为诊断工具的潜力,允许可靠地识别L1和L2文本读数中的读者非本质。在阅读L1和L2文本的同时,跟踪了俄语俄语学生的眼睛运动以上熟练的熟练程度。对于所选测量类型,例如平均固定持续时间,确认了一些通用分布模式。然而,与L1性能相比,L2读数也显着,尽管读者对两种语言的高熟练程度很高。 L1和L2读数中的固定和扫描的分布模式可以是信息的,以优化基于眼跟踪的非生物性检测的自适应阈值算法。

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