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Materials for Pupillary Responses to Words That Convey a Sense of Brightness or Darkness
Version 2 2017-05-19, 10:40
Version 1 2017-03-10, 10:53
dataset
posted on 2017-05-19, 10:40 authored by Sebastiaan MathôtSebastiaan Mathôt, Jonathan Grainger, Kristof StrijkersExperimental resources for the study "Semantic Pupil"
=====================================================
Copyright 2015-2017 Sebastiaan Mathôt, Kristof Strijkers, Jonathan
Grainger
- s.mathot@cogsci.nl
- http://www.cogsci.nl/smathot
Table of contents
=================
- About this repository
- Running the experiments
- Participant data
- Running the analysis
- License
About this repository
=====================
This repository contains materials to accompany the following
manuscript:
Mathôt, S., Strijkers, K., & Grainger, J. (in press). Pupillary
responses to words that convey a sense of brightness or darkness.
*Psychological Science*.
Running the experiments
=======================
The experiments are placed in the `experiments` subfoler.
All experiments were conducted with
[OpenSesame](http://osdoc.cogsci.nl/), but not all with the same
version.
- visual experiment: 2.9.6 (with EyeLink plugins, which need to be
installed separately)
- ratings experiment: 3.0.0
- auditory experiment: 3.1.0
- valence-control experiment: 3.1.3
Participant data
================
Eye-tracking data
-----------------
The eye-tracking data for each experiment is located in
`analysis/edf/[experiment name]`. This in `.edf` format, which is the
format used by the EyeLink eye tracker.
To run the analysis as described below, the `.edf` files need to be
converted to `.asc` files using the `edf2asc` utility that can be
downloaded for free from the SR Research forum (registration required)
The `.asc` files then need to be placed in a folder called
`analysis/data-pupil-asc/[experiment name]`. This folder needs to be
created.
Ratings data
------------
The ratings data is located in `analysis/data-ratings`. This in standard
comma-separated values (`.csv`) format.
Running the analysis
====================
Before analyzing the data, the eye-tracking data needs to be converted
as described above.
Analysis scripts and participant data are placed in the `analysis`
subfolder.
IPython notebook
----------------
For a quick example of how the analysis works, see this IPython
notebook:
- [analysis/basic-analysis.ipynb](analysis/basic-analysis.ipynb)
Full analysis pathway
---------------------
The analysis requires the standard numpy/ scipy stack, and
[DataMatrix](https://github.com/smathot/python-datamatrix) and
[EyelinkParser](https://github.com/smathot/python-eyelinkparser).
First, parse the ratings data by running:
python3 analyze-ratings.py
This will create a file called `ratings.csv`, which is used for the main
analyses.
Next, run the full analysis for the visual experiment:
python3 analyze-pupil.py --auditory @full
And for the auditory experiment:
python3 analyze-pupil.py --visual @full
And for the control experiment:
python3 analyze-pupil.py --control @annotated_valence_plot
Various other analyses can be performed as well. The logic is that you
can execute a function in one of the analysis modules by passing
`@[function name]` as argument.
During the analysis, cache files are created. To start from scratch,
pass the `--clear-cache` argument.
Notes:
- *térébrant* was misspelled and therefore removed from the analysis.
- *pénombre* occurred twice in the stimulus list of the
pupillometry experiment.
License
=======
- Analysis and experimental code are released under a [GNU General
Public License 3](https://www.gnu.org/copyleft/gpl.html).
- Data and text are released under a [Creative Commons
Attribution-ShareAlike 4.0 International
License](http://creativecommons.org/licenses/by-sa/4.0/).
Note: This is a frozen snapshot of the following GitHub repository:
- https://github.com/smathot/semantic_pupil
