Science Score: 52.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
    Organization ccp-eva has institutional domain (www.eva.mpg.de)
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: ccp-eva
  • License: mit
  • Language: JavaScript
  • Default Branch: main
  • Size: 23.5 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

Project Status: Active – The project has reached a stable, usable state and is being actively developed. GitHub package.json version

💃👀 TANGO

A browser game to understand gaze cues

🎮 Live Demo: https://ccp-odc.eva.mpg.de/tango-demo/

Preview

About

This interactive browser game tracks your click responses and other metrics to study children’s ability to follow an agent’s gaze, using a continuous spatial layout. Moreover, you can decide whether to get recorded (via webcam) during the experiment. After completion, the app will automatically download two files: (1) a text file (JSON) containing responses, and—if selected by the user—(2) a video file (webm) of your webcam recording.¹

Parameters

  • German and English language support
  • Optional webcam recording
  • Gaming Modes: (1) a hedge version and (2) a box version. See here:

Development

Development requires Node.js

Local Development

  1. git clone git@github.com:ccp-eva/tango-demo.git
  2. npm install
  3. npm run dev

Deploy Application To A Server

  1. git clone git@github.com:ccp-eva/tango-demo.git
  2. npm install
  3. npm run build
  4. Upload the contents within the dist folder to your web hoster.

¹ Note that the Media Recorder API has a time scrubbing bug for chromium-based browsers (see here: https://bugs.chromium.org/p/chromium/issues/detail?id=569840). That means you cannot easily scrub through the recorded video. You can fix this by re-encoding the video. For example using Handbrake on macOS or ffmpeg (e.g., ffmpeg -i video.webm -crf 24 -c:v libx264 video.mp4), or any encoder of your choice.

Owner

  • Name: Comparative Cultural Psychology
  • Login: ccp-eva
  • Kind: organization
  • Email: info_ccp@eva.mpg.de
  • Location: Leipzig, Germany

Official Repository of the Comparative Cultural Psychology Department of the Max Planck Institute for Evolutionary Anthropology

Citation (CITATION.cff)

cff-version: 1.2.0
title: TANGO
message: 'If you use this app, please cite it as below.'
type: software
authors:
  - given-names: Julia Christin
    family-names: Prein
    email: julia_prein@eva.mpg.de
    affiliation: >-
      Max Planck Institute for Evolutionary
      Anthropology
  - given-names: Steven
    family-names: Kalinke
    email: steven_kalinke@eva.mpg.de
    affiliation: >-
      Max Planck Institute for Evolutionary
      Anthropology
repository-code: 'https://github.com/ccp-eva/tango-demo'
url: 'https://ccp-odc.eva.mpg.de/tango-demo/'
license: MIT

GitHub Events

Total
Last Year

Issues and Pull Requests

Last synced: 12 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels