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?
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You want to analyze which parts of a text someone is looking at and for how long.
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You need convenient tools for extracting areas of interest from texts, such as specific words, phrases, or letter combinations.
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You want to calculate common reading measures, such as gaze duration or initial landing position.
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You need support for arbitrary fonts, multiline passages, right-to-left text, or non-alphabetical scripts.
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You want the flexibility to define custom reading measures and to build your own reproducible processing pipeline.
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You would like tools for dealing with noise and calibration issues, and for discarding fixations according to your own criteria.
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You want to share your data in an open format and produce publication-ready vector graphics.
Installation
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
.
Project details
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