This project involved a redesign of the Carleton Central course registration interface, with a statistical analysis described in the report.pdf. Six Carleton University students took part in this experiment. The goal of the experiment was to simplify the complex registration flow by reducing back and forth navigation, and user confusion during course selection. By applying HCI principles, the new interface lowered cognitive load and simplified course searching for a successful registration.
Demo.Video.mp4
- Design: Figma
- Data Analysis: Python, Pandas, SciPy
- Metrics: NASA-TLX, Task Completion Time
To view the statistical analysis for one of the graphs:
- Clone the repo:
git clone https://github.comOR download the project as a.zipfile - Install dependencies:
pip install pandas scipy - Navigate to the analysis folder:
cd Analysis - Run the script:
python analysis.py - Wait about 1 minute for it to run. This will generate the line graph (Graph B in
report.pdf).