https://github.com/cosanlab/continuous-rater

a standalone web app that interfaces with mturk and allows users to provide continuous ratings while watching videos

https://github.com/cosanlab/continuous-rater

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
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  • Scientific vocabulary similarity
    Low similarity (9.5%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

a standalone web app that interfaces with mturk and allows users to provide continuous ratings while watching videos

Basic Info
  • Host: GitHub
  • Owner: cosanlab
  • License: mit
  • Language: Svelte
  • Default Branch: master
  • Size: 20.1 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Fork of maxfarrens/continuous-rater
Created almost 4 years ago · Last pushed over 3 years ago

https://github.com/cosanlab/continuous-rater/blob/master/

# continuous-rater

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4279654.svg)](https://doi.org/10.5281/zenodo.4279654)

For an in-depth tutorial and more information, please visit [maxfarrens.github.io/continuous-rater-book](https://maxfarrens.github.io/continuous-rater-book/). Visit [continuous-rater-demo.netlify.app](https://continuous-rater-demo.netlify.app/) to play with a pre-configured demo. Here is a gif of the app in action:

![](./images/demo.gif)



## about
`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](https://maxfarrens.github.io/continuous-rater-book/) for more information.

app built by Max Farrens and [COSAN Lab](https://cosanlab.com/).
## getting started

1. If you do not already have it, install [Node.js](https://nodejs.org/en/)

2. Clone the repository locally. Go to your command line and enter:

	```
	git clone https://github.com/maxfarrens/continuous-rater.git
	```
3. Install the dependencies using npm (from within the local repository):

	```
	cd continuous-rater
	npm install
	```
4. Start Rollup:

	```
	npm run dev
	```
5. Navigate to [localhost:5000](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](https://maxfarrens.github.io/continuous-rater-book/).
  


## contact

please email [Max](mailto:maxfarrens@gmail.com) or [COSAN Lab](mailto:cosanlab@gmail.com) with any questions or issues. Thanks!
	

Owner

  • Name: Computational Social Affective Neuroscience Laboratory
  • Login: cosanlab
  • Kind: organization
  • Location: Hanover, NH

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