Perspective-Aware AI in Extended Reality
This work addresses the need for more adaptive and immersive XR experiences for users by proposing a foundational framework, though it appears incremental as it builds on existing concepts of user modeling and AI integration.
The paper tackles the problem of shallow user modeling in AI-enhanced Extended Reality (XR) by introducing Perspective-Aware AI in Extended Reality (PAiR), a framework that integrates identity models called Chronicles to enable context-aware experiences, demonstrated through proof-of-concept scenarios in Unity-based OpenDome.
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.