Joker - An Open Source Card Sorting Application.

A React app based on React Kanban to make use of Card Sorting technique for a Scientific Iniciation project about the relationship of users with software privacy policies.

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Setting-up Joker

Requirements
Node.js
MongoDB
Firebase free account
Python 2.7
Python 3
Optional Requirements - In case you prefer to run Joker's Docker Version:
Docker
Docker Compose
Make

Running the app via Docker (Recommended):

1. Create .env files in the root and /apiResearcher folders and fill them as shown in the root .env and apiResearcher .env sections, down below.
2. On the root folder, run make docker and wait for the Docker Compose to start all the application services.

Running the app via Webpack Build

1. Create .env files in the root and /apiResearcher folders and fill them as shown in the root .env and apiResearcher .env sections, down below.
2. Run make install on the root folder.
3. On other terminal, run mongod to start a MongoDB Server.
4. On the first temrinal, go to /apiResearcher folder and run npm run api to connect our api to the database server.
5. Finally, open other terminal, and run npm run build:prod and, after receiving a success message, run on the other one npm run serve:prod to start our server side rendering and last part of the application.

root .env

Inside the .env file, paste the text below, adding your keys to the corresponding atributes

# Admin api
REACT_APP_ADMIN_API=http://localhost:3000

# Home URL
REACT_APP_HOME_URL=http://localhost:1337

# Firebase api configs
REACT_APP_FIREBASE_API_KEY="YOUR FIREBASE API KEY"
REACT_APP_FIREBASE_AUTH_DOMAIN="YOUR FIREBASE AUTH DOMAIN"
REACT_APP_FIREBASE_DATABASE_URL="YOUR FIREBASE DATA URL"
REACT_APP_FIREBASE_PROJECT_ID="YOUR FIREBASE PROJECT ID"
REACT_APP_FIREBASE_STORAGE_BUCKET="YOUR FIREBASE STORAGE BUCKET"
REACT_APP_FIREBASE_MESSAGING_SENDER_ID="YOUR FIREBASE MESSAGING SENDER ID"

apiResearcher .env

RESULTS_HOST_ADDRESS=http://localhost:3000/

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Application Architecture

Objectives

The overall objective of this project is to improve the usability of interfaces for setting privacy policies on the Web. Therefore, to answer the research question defined in this project, we can list the following 3 objectives:

1. identify and describe the benefits of using online Card Sorting technique for improved usability of interfaces for setting Web privacy policies;
2. identifying necessary adaptations to the online Card Sorting model to enhance their contributions in the area of ​​usable privacy;
3. developing an online tool for Card application. Sorting

Research and Publications

The paper Smart toys and Children's Privacy: enhancing usability of mobile privacy control tools, sponsored by FAPESP, in Human-Computer Interaction area of ​​the University of São Paulo (USP), presented at SIGDOC '19 in Portland, Oregon is one of the contribuitions of Joker.

Credits

• Anderson Canale Garcia
• André de Lima Salgado
• Felipe Silva Dias
• João Pedro R. Mattos
• Renata P. M. Fortes