AHCI RESEARCH GROUP

Publications

Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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2025

Afzal, M. Z.; Ali, S. K. A.; Stricker, D.; Eisert, P.; Hilsmann, A.; Perez-Marcos, D.; Bianchi, M.; Crottaz-Herbette, S.; Ioris, R. De; Mangina, E.; Sanguineti, M.; Salaberria, A.; Lacalle, O. Lopez De; Garcia-Pablos, A.; Cuadros, M.

Next Generation XR Systems - Large Language Models Meet Augmented and Virtual Reality Journal Article

In: IEEE Computer Graphics and Applications, vol. 45, no. 1, pp. 43–55, 2025, ISSN: 02721716 (ISSN).

Abstract | Links | BibTeX | Tags: adult, Article, Augmented and virtual realities, Augmented Reality, Awareness, Context-Aware, human, Information Retrieval, Knowledge model, Knowledge reasoning, Knowledge retrieval, Language Model, Large language model, Mixed reality, neurorehabilitation, Position papers, privacy, Real- time, Reasoning, Situational awareness, Virtual environments, Virtual Reality

@article{afzal_next_2025,

title = {Next Generation XR Systems - Large Language Models Meet Augmented and Virtual Reality},

author = {M. Z. Afzal and S. K. A. Ali and D. Stricker and P. Eisert and A. Hilsmann and D. Perez-Marcos and M. Bianchi and S. Crottaz-Herbette and R. De Ioris and E. Mangina and M. Sanguineti and A. Salaberria and O. Lopez De Lacalle and A. Garcia-Pablos and M. Cuadros},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105003598602&doi=10.1109%2fMCG.2025.3548554&partnerID=40&md5=b709a0c8cf47cc55a52cea73eb9ef15d},

doi = {10.1109/MCG.2025.3548554},

issn = {02721716 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {IEEE Computer Graphics and Applications},

volume = {45},

number = {1},

pages = {43–55},

abstract = {Extended reality (XR) is evolving rapidly, offering new paradigms for human-computer interaction. This position paper argues that integrating large language models (LLMs) with XR systems represents a fundamental shift toward more intelligent, context-aware, and adaptive mixed-reality experiences. We propose a structured framework built on three key pillars: first, perception and situational awareness, second, knowledge modeling and reasoning, and third, visualization and interaction. We believe leveraging LLMs within XR environments enables enhanced situational awareness, real-time knowledge retrieval, and dynamic user interaction, surpassing traditional XR capabilities. We highlight the potential of this integration in neurorehabilitation, safety training, and architectural design while underscoring ethical considerations, such as privacy, transparency, and inclusivity. This vision aims to spark discussion and drive research toward more intelligent, human-centric XR systems. © 2025 IEEE.},

keywords = {adult, Article, Augmented and virtual realities, Augmented Reality, Awareness, Context-Aware, human, Information Retrieval, Knowledge model, Knowledge reasoning, Knowledge retrieval, Language Model, Large language model, Mixed reality, neurorehabilitation, Position papers, privacy, Real- time, Reasoning, Situational awareness, Virtual environments, Virtual Reality},

pubstate = {published},

tppubtype = {article}

}