For an in-depth tutorial and more information, please visit maxfarrens.github.io/continuous-rater-book. Visit continuous-rater-demo.netlify.app to play with a pre-configured demo. Here is a gif of the app in action:
continuous-rater
is an app that allows participants to continuously rate their emotions while viewing a video stimulus. It is compatible with Amazon Mechanical Turk. This app requires some configuration before use: click here for more information.
app built by Max Farrens and COSAN Lab.
If you do not already have it, install Node.js
Clone the repository locally. Go to your command line and enter:
git clone https://github.com/maxfarrens/continuous-rater.git
Install the dependencies using npm (from within the local repository):
cd continuous-rater
npm install
Start Rollup:
npm run dev
Navigate to localhost:5000 in your browser of choice. You should see a developer version of your app running. Initially, it should just display a white screen with no content. In order to make the app functional for your experiment, you need to set up and link a Firebase backend, and edit some variables in the src/utils.js
file within the continuous-rater
repository. This is all explained at maxfarrens.github.io/continuous-rater-book.
please email Max or COSAN Lab with any questions or issues. Thanks!