Spatial
The system operates inside a physical or mixed-reality environment, where layout, attention, movement, and task context matter.
Category explainer
Context-aware spatial systems
This is the clearest label for my current work: XR + AI systems that understand enough about the user, task, space, and history to adapt without becoming opaque or distracting.
Boundary: this is a research and prototype direction, not a claim that Harmony or OpenSpatialAI are mature commercial platforms.
Context-aware
The system uses signals such as task state, gaze, pose, location, prior actions, and session memory to decide what should change.
Explainable
The system should make adaptation inspectable. If an interface changes, the user should be able to understand why.
The problem
Most XR systems can render 3D content. Fewer systems understand what the user is doing, what changed in the environment, or what information should persist across sessions.
That gap matters in training, spatial review, industrial workflows, education, and collaborative design. The hard part is not just displaying content in space. The hard part is making the system behave intelligently when the task, person, and environment keep changing.
The research spine
My current direction connects five themes. The point is not to make XR feel magical. The point is to make complex spatial workflows more legible, adaptive, and useful.
Perception
What can the system infer from user state, task state, and environment signals?
Memory
What should persist across sessions, and what should expire or stay private?
Adaptation
When should an interface change, and what should stay stable for trust?
How Harmony and OpenSpatialAI fit
Harmony is the research frame: sensing, context, memory, adaptation, and explainability for adaptive XR interfaces.
OpenSpatialAI is the early developer surface: code, API sketches, and prototype patterns connected to that research direction.
Varun Innovates is where the public lab material lives. VeeRuby is the separate commercial layer for scoped delivery work.
Claim, evidence, boundary
- Claim
- My work sits at the intersection of XR, AI, and human-computer interaction.
- Evidence
- Apress/Springer mixed-reality authorship, peer-reviewed research records, IARIA ICDT Best Paper signal, 50+ XR projects and prototypes, and public lab artifacts.
- Boundary
- This does not mean every idea is production-ready. Harmony is research. OpenSpatialAI is early developer work. Public proof should stay honest about maturity.