IllusionX: An LLM-powered mixed reality personal companion

February 04, 2024 Β· Declared Dead Β· πŸ› arXiv.org

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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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