Explainable XR : Understanding User Behaviors of XR Environments Using LLM-Assisted Analytics Framework
We present Explainable XR, an end-to-end framework for analyzing user behavior in diverse eXtended Reality (XR) environments by leveraging Large Language Models (LLMs) for data interpretation assistance. Existing XR user analytics frameworks face challenges in handling cross-virtuality - AR, VR, MR...
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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 31(2025), 5 vom: 10. Mai, Seite 2756-2766
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| Auteur principal: |
Kim, Yoonsang
(Auteur) |
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| Autres auteurs: |
Aamir, Zainab,
Singh, Mithilesh,
Boorboor, Saeed,
Mueller, Klaus,
Kaufman, Arie E |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article |
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