/predictive-affect

An experiment measuring the effect of the affect of an image on a person's memory of that image. Made for Danlei Chen at Northeastern University.

Primary LanguageJavaScriptGNU General Public License v3.0GPL-3.0

Predictive Affect Study

This project is a psychology experiment for researcher Danlei Chen of Northeastern University's Interdisciplinary Affective Science Lab. It measures the effect a person's feeling about an image has on their memory of that image.

No demo is available due to the sensitive nature of the images shown.

Running the Experiment

yarn will install the all the dependencies, and copy param.example.js to param.js if param.js doesn't exist

  • param.js is the config file, which is gitignored to allow for customization

yarn build will build the site. You need to run this after you make changes so they actually get built

yarn start will start a server that hosts the app on http://localhost:8080

yarn test will run tests with Mocha

As a prerequisite, you will need the images associated with the trials.

Contributing

We welcome all potential contributors! If you would like to open a PR to edit code style or resolve an issue, please go ahead. Please email drew.r@husky.neu.edu if you would like to contribute further to this project, as you will need the images, which are sensitive and will require a conversation before access is granted.

Predictive Affect is a Sandbox project.