Memprize Submission by Team Radboud University

Reimplementation of the winning entry of the 2016/2017 memprize science competition (Potts et al., 2023)¹

The repository contains two versions of the experiment backing the submission:

1. The original Psychopy implementation, but updated to Python3 and using the newest Psychopy 2023.02.0 release.
2. A web-implementation of the same algorithm that can run in the browser.

Copying and license

The source code is published under the MIT License, see LICENSE.md.

The images in this repository are published under a variety of licenses. Refer to the IMAGE-ATTRIBUTIONS.md for details.

Web version

You can try out the web version here: https://memprize.craftware.info/

See below for details how to run the web version.

The original Psychopy version

(Dutch only)

The original version of the experiment for testing the spacing algorithm. See below for details how to run the web version.

Citation

To cite this software in your publications, you can use the CITATION.cff file through GitHub page or the following reference:

van den Broek, G. S. E., Gerke, P. K., Albers, A. M., Berkers, R., van Kesteren, M., Konrad, B., & Müller, N. (2023). Memprize Submission by Team Radboud University (Version 1.0) [Computer software]. https://doi.org/10.5281/zenodo.8373054

Steps for running the original Psychopy version

Required software:

• python 3.10 (or higher)
• pipenv for Python

With these packages installed:

• Clone the repository
• Change in the directory psychopy
• If you are using a python-version other than 3.10, edit the Pipfile and replace the version string 3.10 with the version you are using.
• Issue the command pipenv install
  • This should install PsychoPy in a pipenv-environment. However, PsychoPy is a relatively heavy package with a lot of dependencies and might be more complicated to install on your system. If you encounter errors, try the alternative steps below.
• Now you can run the application using the command:

pipenv run python main.py 

Alternative steps for running the original Psychopy version

These steps are easier in case you are not able to install PsychoPy using the steps above. These steps will run the program through a pre-built Standalone PsychoPy bundle instead.

Note: These steps do not work on Linux and were only tested on Windows!

Required software:

• Install PsychoPy version 2023.02.0 in some other way
  • You sould be able to download the exact version from the release page: https://github.com/psychopy/psychopy/releases/tag/2023.2.0

Then:

• Clone the repository
• Change in the directory psychopy
• Run the experiment's main.py file as described in the previous section, but use the python version that ships with psychopy.

Footnotes

1. Potts, R., van den Broek, G.S.E., Albers, A.M., Balaguer, J., Berkers, R., de Jonge, M., Dhanani, A., Jivani, A., Gerke, P.K., Konrad, B., Küpper-Tetzel, C.E., Hae Li, J., McDaniel, M., Miyatsu, T., Müller, N., Nguyen, K., Reilly, W., Summerfield, C., … Shanks, D.R. (2023). Optimal methods for learning foreign-language vocabulary: An international research competition. [Manuscript submitted for publication]. University College London. ↩