Perspective-Aware AI in Extended Reality
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 3 of its 25 references that are in the map. First posted on arXiv 5 May 2025.
Builds on
3 of 25 references.
References · 3
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
- 2024Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and Privacycited by 14
- 2025A Recipe for Generating 3D Worlds From a Single Imagecited by 13
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Citing papers per year: 2025: 1; 2026: 2.
3 papers.