Perspective-Aware AI in Extended Reality
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arXiv
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| Hauptverfasser: | , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866908450773008384 |
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| author | Platnick, Daniel Gruener, Matti Alirezaie, Marjan Larson, Kent Newman, Dava J. Rahnama, Hossein |
| author_facet | Platnick, Daniel Gruener, Matti Alirezaie, Marjan Larson, Kent Newman, Dava J. Rahnama, Hossein |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_11479 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Perspective-Aware AI in Extended Reality Platnick, Daniel Gruener, Matti Alirezaie, Marjan Larson, Kent Newman, Dava J. Rahnama, Hossein Artificial Intelligence Graphics Human-Computer Interaction 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. |
| title | Perspective-Aware AI in Extended Reality |
| topic | Artificial Intelligence Graphics Human-Computer Interaction |
| url | https://arxiv.org/abs/2507.11479 |