https://github.com/cosanlab/continuous-rater
a standalone web app that interfaces with mturk and allows users to provide continuous ratings while watching videos
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.5%) to scientific vocabulary
Last synced: 6 months ago
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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 [](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:  ## 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
- Website: http://cosanlab.com/
- Repositories: 8
- Profile: https://github.com/cosanlab