In this research project within the domain of Human-Computer Interaction and Artificial Intelligence, I led the full-stack design and development of a college admissions AI platform to study the key factors affecting trust in an AI system recommendations. This project was done in collaboration with a multidisciplinary five-member team at Sorbonne University, University Paris Sud and University of Waterloo.

OSC message JS <> Python

Installation instructions

For Mac:

Open one terminal window:

1. navigate to folder on computer (ensure python installed)
2. run:

• npm install
• node server.js

3. Open browser, go to http://127.0.0.1:8888/ to start the experiment

note: ENSURE that <script src="/js/osc.min.js"></script> is added to all html

For Windows:

• Ensure Python (v3.7.1) and node is installed on computer as described here: https://blog.teamtreehouse.com/install-node-js-npm-windows

1. navigate to folder on computer
2. run cmd, same as above

When running the experiment

• Sign consent form
• Assign participant ID (make note)
• Set delay = long/ short in server.js
• Press on F11 to enter full screen for experiment

Logging

Gets saved to folder outputs/