Exploring eye-tracking analyses of EFL learners’ cognitive processing of reduced relative clause

被引:0
作者
Xuesong Zhai
Yan Dong
Shengfen Wang
Li Wang
Jing Yuan
机构
[1] Beijing Normal University,School of Educational Technology, Faculty of Education
[2] Anhui Jianzhu University,Anhui Provincial Key Laboratory of Intelligent Building and Building Energy Saving
[3] Beijing Normal University,Smart Learning Institute
[4] Anhui Jianzhu University,School of Foreign Language
[5] Capital Normal University,Primary Education College
[6] Anhui Sanlian University,School of Foreign Study
来源
Cluster Computing | 2019年 / 22卷
关键词
Eye tracking; Cognitive load; Sentence processing; Reduced relative clause;
D O I
暂无
中图分类号
学科分类号
摘要
Eye-tracking technique is regarded as a reliable sensitive measurement to detect the regulation of eye movements, from which the objective visual data could be detected to explain invisible cognitive behavior. This paper employed eye-tracking sensors to examine how learners process reduced relative clause (RRC) sentences. The current research recruited 60 college students from a Chinese university to read three different types of RRC exemplars: left-branching, center-embodied and right-branching, and the sentences of each type were inserted frequent and/or infrequent verbs. The eye trackers were utilized to capture their eyes movements, and the instant visual data including fixation duration, fixation count as well as the scanning path were collected, compared and analysed. The results indicated that learners had the highest cognitive load when processing the center-embedded type of RRC, followed by the right-branching type and the left-branching type. Additionally, when the participant’s cognitive load is at a high level, the influence of verb frequency tends to be diminished. Besides, the results also revealed that the focus on the key areas, such as the conjunction, played a critical role in sentence processing. Furthermore, there leave several valuable practical and theoretical implications for further research. Firstly, eye-tracking technology is an adaptability for the measurement of mental process, which provide visualized evaluation of human–computer interaction. Secondly, the cognitive load theory could be extended and further studied though biofeedback data in the future.
引用
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页码:14181 / 14192
页数:11
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