Virtual Reality Portfolio


Predicting Users’ Difficulty Perception in Virtual Reality Games - Research Paper

  • • Proposed a novel application that predicts users’ perception of difficulty in a VR game by having them play four levels, collecting data, and using a pre-trained machine learning model to form personalized predictions over all levels.
  • • Addressed issues in VR games and experience design by adapting decades of machine learning and game research.
  • • Obtained IRB certificate, collected gameplay, user, and medical wristband data through 70+ user studies. Trained a recurrent neural network to understand relationships between collected user data, gameplay data, and game parameters.
  • Link to video of game

Understanding User Experience of Online Education in Metaverse: A Systems Perspective - Research Paper

  • • Proposed a novel analytic method that combines qualitative and quantitative analysis with end-to-end network measurements to understand user experience in VR education and detect bottlenecks to optimize system performance.
  • • Deployed a Mozilla Hubs server-client with custom scripts to host 5 graduate level lectures remotely in VR, record per- formance metrics through an API, conduct surveys, and use all data to conduct an in-depth systems anaylsis.

Machine Learning Automation for Virtual Reality - Master’s Thesis

  • • Addressed limitations in VR development research and proposed a solution to improve human-computer interaction.
  • • Devised a machine learning solution that accurately predicts user perception of difficulty in a VR game.
  • View Paper Here

Test the Heights - Virtual Reality Game

  • • Utilized interactive systems to craft a thrilling and immersive experience in a solo-developed game.
  • • Performed user-testing to get feedback from users in various stages of the game to optimize the final product.
  • Link to video of game


Virtual Reality Hubs for the Co Lab

United Nations Sustainable Development Goals Metaverse Competition


Building in VR Camp