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A Python package for analyzing reading behavior using eyetracking data

Project description

Eyekit is a Python package for analyzing reading behavior using eyetracking data. Eyekit aims to be entirely independent of any particular eyetracker hardware, experiment software, or data formats. It has an object-oriented style that defines three core objects – the TextBlock, InterestArea, and FixationSequence – that you bring into contact with a bit of coding.

Is Eyekit the Right Tool for Me?

  • You want to analyze which parts of a text someone is looking at and for how long.

  • You need convenient tools for extracting areas of interest from texts, such as specific words, phrases, or letter combinations.

  • You want to calculate common reading measures, such as gaze duration or initial landing position.

  • You need support for arbitrary fonts, multiline passages, right-to-left text, or non-alphabetical scripts.

  • You want the flexibility to define custom reading measures and to build your own reproducible processing pipeline.

  • You would like tools for dealing with noise and calibration issues, and for discarding fixations according to your own criteria.

  • You want to share your data in an open format and produce publication-ready vector graphics.


Eyekit may be installed using pip:

$ pip install eyekit

Eyekit is compatible with Python 3.8+. Its main dependency is the graphics library Cairo, which you might also need to install if it's not already on your system. Many Linux distributions have Cairo built in. On a Mac, it can be installed using Homebrew: brew install cairo. On Windows, it can be installed using Anaconda: conda install -c anaconda cairo.

Full documentation and a usage guide is available here

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