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.
Clone the repository:
git clone https://github.com/kschuler/dist-learn-adult
Open 'experiment.py' in the Coder view of PsychoPy and run. (version 1.83.01 is known to work)
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