VR Interaction Analysis
Chapman University
Data Science Research Assistant
June 2022 - May 2023
Research
Role Overview
Analyzed large-scale VR interaction data to understand human behavior in virtual environments:
- Processed and analyzed 500 GB of VR 3D data using Python
- Engineered features like velocity, acceleration, and orientation of objects in environment to interpret positional data
- Created visualizations with ggplot to understand Human-VR interaction
- Developed novel rule-based system at research symposium for identifying user actions
- Prioritized simple, elegant solutions over complex ML approaches
Technologies Used
Python
ggplot
pandas
numpy
Git
Key Achievements
- Successfully processed 500GB of complex 3D data
- Developed elegant rule-based identification system for presentation at research symposium
- Created effective visualizations of spatial relationships