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  4. Opportunities and Challenges in Developing Educational AI-Assistants for the Metaverse
 
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June 1, 2024
Conference Paper
Title

Opportunities and Challenges in Developing Educational AI-Assistants for the Metaverse

Abstract
The paper explores the opportunities and challenges for metaverse learning environments with AI-Assistants based on Large Language Models. A proof of concept based on popular but proprietary technologies is presented that enables a natural language exchange between the user and an AI-based medical expert in a highly immersive environment based on the Unreal Engine. The answers generated by ChatGPT are not only played back lip-synchronously, but also visualized in the VR environment using a 3D model of a skeleton. Usability and user experience play a particularly important role in the development of the highly immersive AI-Assistant. The proof of concept serves to illustrate the opportunities and challenges that lie in the merging of large language models, metaverse applications and educational ecosystems, which are self-contained research areas. Development strategies, tools and interoperability standards will be presented to facilitate future developments in this triangle of tension.
Author(s)
Krauss, Christopher  orcid-logo
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Balitzki, Emil
Bassbouss, Louay  
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Upravitelev, Max
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
An, Truong-Sinh  
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
El Tamimi, Tarek
Altun, Daniela  
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
Reray, Lisa  
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
Karagülle, Mehmet
Mainwork
Adaptive Instructional Systems. 6th International Conference, AIS 2024. Proceedings  
Conference
International Conference on Adaptive Instructional Systems 2024  
International Conference on Human-Computer Interaction 2024  
DOI
10.1007/978-3-031-60609-0_16
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
Keyword(s)
  • AI-Assistants

  • Education

  • Interoperability

  • Large Language Models

  • Learning Technologies

  • LLM

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