GazeR: A Package for Processing Gaze Position and Pupil Size Data

Abstract

Eye-tracking is widely used throughout the scientific community, from vision science and psycholinguistics to marketing and human-computer interaction. Surprisingly, there is little consistency and transparency in preprocessing steps, making replicability and reproducibility difficult. To increase replicability, reproducibility, and transparency, a package in R (a free and widely used statistical programming environment) called gazeR was created to read and preprocess two types of data: gaze position and pupil size. For gaze position data, gazeR has functions for reading in raw eye-tracking data, formatting it for analysis, converting from gaze coordinates to areas of interest, and binning and aggregating data. For data from pupillometry studies, the gazeR package has functions for reading in and merging multiple raw pupil data files, removing observations with too much missing data, eliminating artifacts, blink identification and interpolation, subtractive baseline correction, and binning and aggregating data. The package is open-source and freely available for download and installation: https://github.com/dmirman/gazer. We provide stepby-step analyses of data from two tasks exemplifying the package's capabilities.

Contrast Is in the Eye of the Beholder: Infelicitous Beat Gesture Increases Cognitive Load During Online Spoken Discourse Comprehension

“…The TEPR was preprocessed using functions from the GazeR package (Geller, Winn, Mahr, & Mirman, 2020) in R v. 3.5.2. Because response accuracy for critical referring expressions was 100%, no TEPRs were excluded due to incorrect responses.…”

PupillometryR: An R package for preparing and analysing pupillometry data

“…For analysis several options are given, including the use of Generalised Additive Models which uses the mgcv package (Wood, 2017), and Functional Data Analysis, which uses functions from the fda package (Ramsay, Graves, & Hooker, 2020). Some comprehensive pupillometry pipelines exist already in MATLAB (Hershman, Henik, & Cohen, 2019;Sirois, n.d.), and in R (Geller, Winn, Mahr, & Mirman, 2020), and while each of these have their own merits, none offer the start-to-finish comprehensive pipeline in an open-source language compatible with most brands of eye-tracker, which includes inbuilt plotting functions, and flexibility of analysis style (time windows, FDA, GAMs) offered in PupillometryR. In addition, PupillometryR is available on CRAN, making it easy to download for R users, and subject to regular CRAN checks.…”

pypillometry: A Python package for pupillometric analyses

“…Pypillometry was already used for the analyses of several pupillometric datasets in our department. Several software packages with similar goals are available in R (e.g., Geller, Winn, Mahr, & Mirman, 2020;Forbes, 2020). However, to date, no comprehensive Pythonbased solution besides pypillometry exists.…”