Publications

@inproceedings{asra_artificial_2024,

title = {Artificial Intelligence (AI) in Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR) Experiences: Enhancing Immersion and Interaction for User Experiences},

author = {S. A. Asra and J. Wickramarathne},

editor = {Luo B. and Sahoo S.K. and Lee Y.H. and Lee C.H.T. and Ong M. and Alphones A.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105000443498&doi=10.1109%2fTENCON61640.2024.10902724&partnerID=40&md5=2ff92b5e2529ae7fe797cd8026e8065d},

doi = {10.1109/TENCON61640.2024.10902724},

isbn = {21593442 (ISSN); 979-835035082-1 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {IEEE Reg 10 Annu Int Conf Proc TENCON},

pages = {1700–1705},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {The utilisation of Artificial Intelligence (AI) generated material is one of the most fascinating advancements in the rapidly growing fields of Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR). Two examples of how AI-generated material is revolutionising how we interact with AR, VR and MR are video games and training simulations. In this essay, we'll examine the intriguing potential of AI-generated content and how it's being used to the development of hybrid real-world/virtual experiences. Using this strategy, we acquired the information from primary and secondary sources. We surveyed AR, VR, and MR users to compile the data for the primary source. Then, utilising published papers as a secondary source, information was gathered. By elucidating the concept of context immersion, this research can lay the foundation for the advancement of information regarding immersive AR, VR, and MR contexts. We are able to offer recommendations for overcoming the weak parts and strengthening the good ones based on the questionnaire survey findings. © 2024 IEEE.},

keywords = {AI, AR, Emersion experience, Immersive augmented realities, Mixed reality, MR, Primary sources, Real-world, Secondary sources, Training simulation, Users' experiences, Video game simulation, Video training, Virtual environments, VR},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{klein_ai_2024,

title = {AI in mixed reality - Copilot on HoloLens: Spatial computing with large language models},

author = {A. Klein and E. Arnowitz},

editor = {Spencer S.N.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200657459&doi=10.1145%2f3641520.3665305&partnerID=40&md5=07d385771b8813c1fafa0efb7ae7e9f2},

doi = {10.1145/3641520.3665305},

isbn = {979-840070526-7 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {Proc. - SIGGRAPH Real-Time Live!},

publisher = {Association for Computing Machinery, Inc},

abstract = {Mixed reality together with AI presents a human-first interface that promises to transform operations. Copilot can assist industrial workers in real-time with speech and holograms; generative AI is used to search technical documentation, service records, training content, and other sources. Copilot then summarizes to provide interactive guidance. © 2024 Owner/Author.},

keywords = {3D, AI, AR, Gesture, Gestures, HoloLens, Language Model, LLM, Mixed reality, Real- time, Real-time, Spatial computing, User experience design, User interfaces, Voice},

pubstate = {published},

tppubtype = {inproceedings}

}