IllusionX: An LLM-powered mixed reality personal companion
February 04, 2024 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Ramez Yousri, Zeyad Essam, Yehia Kareem, Youstina Sherief, Sherry Gamil, Soha Safwat
arXiv ID
2402.07924
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.MM
Citations
11
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Mixed Reality (MR) and Artificial Intelligence (AI) are increasingly becoming integral parts of our daily lives. Their applications range in fields from healthcare to education to entertainment. MR has opened a new frontier for such fields as well as new methods of enhancing user engagement. In this paper, We propose a new system one that combines the power of Large Language Models (LLMs) and mixed reality (MR) to provide a personalized companion for educational purposes. We present an overview of its structure and components as well tests to measure its performance. We found that our system is better in generating coherent information, however it's rather limited by the documents provided to it. This interdisciplinary approach aims to provide a better user experience and enhance user engagement. The user can interact with the system through a custom-design smart watch, smart glasses and a mobile app.
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