Materials for Pupillary Responses to Words That Convey a Sense of Brightness or Darkness

This in `.edf` format, which is theformat used by the EyeLink eye tracker. To run the analysis as described below, the `.edf` files need to beconverted to `.asc` files using the `edf2asc` utility that can bedownloaded 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 becreated.

Ratings data------------ The ratings data is located in `analysis/data-ratings`. This in standardcomma-separated values (`.csv`) format. Running the analysis==================== Before analyzing the data, the eye-tracking data needs to be convertedas 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 IPythonnotebook: - [analysis/basic-analysis.ipynb](analysis/basic-analysis.ipynb) Full analysis pathway--------------------- The analysis requires the standard numpy/ scipy stack, andDataMatrix andEyelinkParser.

First, parse the ratings data by running: python3 analyze-ratings.py This will create a file called `ratings.csv`, which is used for the mainanalyses. 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 youcan 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.- Data and text are released under a Creative Commons Attribution-ShareAlike 4.0 International License.

Note

This is a frozen snapshot of the following GitHub repository: - github.com/smathot/semantic_pupil