Projects

Research systems I built and studied

I build VR systems to study human–agent interaction, clinical training, security, and social behavior. These project pages explain the system design, my contributions, and how each prototype was evaluated.

Research Systems

Embodied agent interactions: hand gestures, virtual touch, and environment actuation, illustrated with participants and VR screenshots. Research prototype

Embodied Multi-Agent VR System

A real-time Unity/C# and Python/FastAPI platform connecting speech recognition, LLM orchestration, speech synthesis, and generated humanoid motion through WebSockets for embodied multi-agent interaction.

  • Unity
  • C#
  • Python
  • FastAPI
  • WebSockets
  • ASR / LLM / TTS
VR knee surgery simulation screenshot showing surgical tools and a highlighted incision path. Research prototype

Knee Surgery VR Training System

Built with two orthopedic experts, this Unity training prototype combines instrument and anatomy interaction with contextual guidance and video pauses at eight critical learning points. Six surgeons evaluated the prototype.

  • Unity
  • C#
  • Blender
  • VR interaction
  • haptic cues
VR nurse training screenshot with a patient bed, equipment, and assessment prompts. User study platform

Nurse Training VR Scenarios

Two interactive Unity scenarios for chest pain treatment and oxygen therapy, developed with nursing educators and iteratively evaluated with experts and student learners.

  • Unity
  • C#
  • patient avatars
  • voice feedback
  • VR scenarios
COVID-Vision VR teaser screenshot showing a public-space distancing game scene. Published demo

COVID-Vision VR Experience

A Unity and Photon PUN 2 multi-user grocery-store experience that visualizes interpersonal safe zones and gives post-task proximity feedback; the published system supports up to 20 concurrent live users.

  • Unity
  • C#
  • VR interaction
  • spatial feedback