A new protocol formalizes minimum-necessary selective disclosure over temporal knowledge graphs of personal data, but is not yet implemented.
Perspective-Aware AI in Extended Reality
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abstract
AI-enhanced Extended Reality (XR) aims to deliver adaptive, immersive experiences-yet current systems fall short due to shallow user modeling and limited cognitive context. We introduce Perspective-Aware AI in Extended Reality (PAiR), a foundational framework for integrating Perspective-Aware AI (PAi) with XR to enable interpretable, context-aware experiences grounded in user identity. PAi is built on Chronicles: reasoning-ready identity models learned from multimodal digital footprints that capture users' cognitive and experiential evolution. PAiR employs these models in a closed-loop system linking dynamic user states with immersive environments. We present PAiR's architecture, detailing its modules and system flow, and demonstrate its utility through two proof-of-concept scenarios implemented in the Unity-based OpenDome engine. PAiR opens a new direction for human-AI interaction by embedding perspective-based identity models into immersive systems.
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cs.AI 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
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Share No More Than the Request Requires: Federated Disclosure for Perspective-Aware AI
A new protocol formalizes minimum-necessary selective disclosure over temporal knowledge graphs of personal data, but is not yet implemented.