IllusionX: An LLM-powered mixed reality personal companion
Ramez Yousri, Zeyad Essam, Yehia Kareem, Youstina Sherief, Sherry, Gamil, Soha Safwat

TL;DR
IllusionX is a novel mixed reality system powered by large language models designed to serve as a personalized educational companion, enhancing user engagement through multimodal interactions.
Contribution
The paper introduces IllusionX, integrating LLMs with MR to create a personalized educational assistant with a new system architecture and interaction modalities.
Findings
System generates coherent information effectively.
Performance limited by available document data.
Multimodal interaction enhances user engagement.
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…
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Taxonomy
TopicsAugmented Reality Applications
