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.
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If you do not already have it, install Node.js
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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.jsfile within thecontinuous-raterrepository. This is all explained at maxfarrens.github.io/continuous-rater-book.
please email Max or COSAN Lab with any questions or issues. Thanks!
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