眼动追踪技术与婴幼儿研究:程序、方法与数据分析  

Eye Tracking in Infancy and Preschooler Research: Procedure, Method and Data Analysis

作　　者：王福兴[1] 童钰[1] 钱莹莹[1] 谢和平[1] 

机构地区：[1]华中师范大学心理学院,武汉430079

出　　处：《心理与行为研究》2016年第4期558-567,共10页Studies of Psychology and Behavior

基　　金：中央高校基本科研业务费项目(#CCNU16A02023);国家自科基金青年项目(#31300864)

摘　　要：眼动技术在婴幼儿研究中成为一种流行的研究工具。如何合理地选择和使用眼动仪进行数据收集及分析,是婴幼儿眼动研究者需要考虑的重要问题。本文从眼动仪使用的流程出发,主要对婴幼儿眼动研究过程中所涉及的四个方面的问题进行了梳理和分析:(1)正确选择仪器;(2)合理校准;(3)提高数据质量;(4)有效分析和挖掘数据。同时,针对这些方面提出了相应的操作性建议。Eye tracking has become a popular tool especially among children′ s studies. In this article, we reviewed how to use eye tracking techniques to explore infants and children′ s cognitive development. First, researchers should know how to choose remote or head-mounted eye trackers based on their research purposes, sampling rate, dark pupil corneal reflection, and bright pupil corneal reflection. Second, five points calibration is the most common calibration procedure in infant studies. Researchers also choose to use two points or three points to re-duce the calibration time. The quality of calibration can influence the quality of the data. The eye movement data depends on precision, robustness, spatial accuracy, and temporal delay. Researchers should pay much atten-tion to temporal resolution, spatial resolution, calibration, and head movements to improve the quality of the data.Third, researchers should learn how to filter the raw data and use interpolation to map the missing data. In in-fants study, pupil dilation, saccade latency, and smooth pursuit are special parameters to explore young children ′s cognition. Finally, we suggest that researchers should pay much more attention to mining visual data and interac-tive data analysis techniques to develop the temporal and spatial information of eye tracking data.

关 键 词：眼动 婴幼儿 校准 数据挖掘 

分 类 号：B844[哲学宗教—发展与教育心理学]