Adult distributional learning experiment

Dist-learn-adult is a distributional learning experiment written in python. This experiment is used when we want to expose learners to an artificial language and then test them on it. During the exposure phase, participants just listen to a stream of sentences - the screen is blank. During the test phase, participants listen to a word or sentence and then are asked to rate it.

The experiment provided is a demo version. For more detailed information on running this experiment (including how to custimize it), see the wiki.

Running this experiment

Clone the repository:

git clone https://github.com/kschuler/dist-learn-adult

Run in standalone PsychoPy

Open 'experiment.py' in the Coder view of PsychoPy and run. (version 1.83.01 is known to work)

or, Run in a conda environment

Navigate to your local copy of this repo and create a conda environment with environment.yml

conda env create -f environment.yml

Activate the environment and run with pythonw

source activate psychopyenv
pythonw experiment.py