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ImageDetectionStudy

Table of Contents

Overview

DHSProject is a web-based application designed for a study involving decision support systems (DSS) and image detection tasks. The project includes practice questions, baseline questions, confidence assessments, assistance selection, assisted questions, final questions, a survey, and debriefing. It logs data using MongoDB and is built with Node.js, Express.js, and Twig templating engine.

Features

  • Randomized display of decision support options
  • Confidence assessment after practice and assisted rounds
  • Logging of user activities and responses
  • Support for multiple users simultaneously
  • Dynamic question and image sets
  • Detailed session management for each user

Installation

  1. Clone the repository:

    git clone https://github.com/cmmill28/ImageDetectionStudy.git
    cd DHSProject
  2. Install dependencies:

    npm install
  3. Set up the MongoDB database:

    • Ensure MongoDB is installed and running.
    • Update the MongoDB URI in the .env file.
  4. Start the application:

    npm start

Usage

  1. Open your web browser and navigate to http://localhost:3000.
  2. Follow the on-screen instructions to participate in the study.

Contribution

  1. Fork the repository.
  2. Create a new branch (git checkout -b feature-branch).
  3. Commit your changes (git commit -am 'Add new feature').
  4. Push to the branch (git push origin feature-branch).
  5. Open a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

  • Special thanks to the original creator for providing the base code.

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  • Twig 40.5%
  • JavaScript 37.4%
  • Python 13.6%
  • CSS 8.5%