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{janaka_towards_2024,

title = {Towards Intelligent Wearable Assistants},

author = {N. Janaka},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206157248&doi=10.1145%2f3675094.3678989&partnerID=40&md5=539933fdbb3b5289b179cbe9e8f7c083},

doi = {10.1145/3675094.3678989},

isbn = {979-840071058-2 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {UbiComp Companion - Companion ACM Int. Jt. Conf. Pervasive Ubiquitous Comput.},

pages = {618–621},

publisher = {Association for Computing Machinery, Inc},

abstract = {This summary outlines my research toward developing intelligent wearable assistants that provide personalized, context-aware computing assistance. Previous work explored information presentation using smart glasses, socially-aware interactions, and applications for learning, communication, and documentation. Current research aims to develop tools for interaction research, including data collection, multimodal evaluation metrics, and a platform for creating context-aware AI assistants. Future goals include extending assistants to physical spaces via telepresence, optimizing learning with generative AI, and investigating collaborative human-AI learning. Ultimately, this research seeks to redefine how humans receive seamless support through proactive, intelligent wearable assistants that comprehend users and environments, augmenting capabilities while reducing reliance on manual labor. © 2024 Copyright held by the owner/author(s).},

keywords = {AI assistance, Augmented Reality, context-aware system, Context-aware systems, HMD, Interaction, interactions, Interruption, interruptions, MR, Notification, notifications, Smart glass, smart glasses, wearable, Wearable assistant, Wearable computers, XR},

pubstate = {published},

tppubtype = {inproceedings}

}