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Eye Tracking in Infancy and Preschooler Research: Procedure, Method and Data Analysis
Wang Fuxing, Tong Yu, Qian Yingying, Xie Heping
2016, 14(4):
558-567.
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 reduce 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 attention 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 infants 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 interactive data analysis techniques to develop the temporal and spatial information of eye tracking data.
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