Preprocessing and analyzing eye tracking data is usually time-consuming, especially when the sample size is large. By using lists and the apply family in R, sets of eye tracking data can be prepared and analyzed simultaneously. Such parallel processes will significantly increase the efficiency and accuracy of analysis. An example is illustrated to show how to read eye tracking files, clean and organize data, and extract information from tables. Scanpath is an important measure in eye tracking studies, but the analysis of scanpath is relatively difficult compared to that of other measures such as fixation duration and fixation count. This presentation also introduces an R package the authors developed. This package is designed to discover patterns in groups of scanpaths and to quantitatively and statistically compare two groups of scanpaths.

Using R to perform advanced analysis of eye tracking data

253rd National Meeting (2017)

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