https://github.com/tjmahr/littlelisteners

R functions for working with eyetracking data
https://github.com/tjmahr/littlelisteners

Last synced: about 1 month ago
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R functions for working with eyetracking data

• Host: GitHub
• URL: https://github.com/tjmahr/littlelisteners
• Owner: tjmahr
• License: other
• Created: 2016-02-29T14:26:01.000Z (almost 9 years ago)
• Default Branch: main
• Last Pushed: 2024-07-30T19:46:44.000Z (5 months ago)
• Last Synced: 2024-07-31T20:59:25.170Z (5 months ago)
• Language: R
• Homepage: http://www.tjmahr.com/littlelisteners/
• Size: 3.05 MB
• Stars: 0
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

Awesome Lists containing this project

README

        
---

output:

  github_document

---

```{r setup, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "README-"

)

```

# Little Listeners

[![R-CMD-check](https://github.com/tjmahr/littlelisteners/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/tjmahr/littlelisteners/actions/workflows/R-CMD-check.yaml)

Tools for working with data from word recognition eyetracking experiments.

## Installation

First install the devtools package, then install the package from this

repository.

```{r install, eval = FALSE}

install.packages("devtools")

devtools::install_github("tjmahr/littlelisteners")

```

## Background

This package was developed to support eyetracking word recognition experiments

for the [Little Listeners](https://littlelisteners.waisman.wisc.edu/) project. 

In these experiments, images are placed onscreen and followed by a spoken prompt 

to view one of the images. We record the participant's gaze location over the 

course of a trial. By aggregating this gaze location over many trials, we can

describe and measure a participant's word recognition by showing how their 

gaze location changes in response to speech.

littlelisteners is my (Tristan Mahr's) second or third attempt at making an

eyetracking processing package in R. My design goals were to be generic (work on

dataframes of eyetracking data) and not just bespoke outputs for individual

eyetrackers and experiments. The package's code tries to play well with the

tidyverse as well.