NivTA: Towards a Naturally Interactable Edu-Metaverse Teaching Assistant for CAVE

Ye Jia, Zackary P.T. Sin, Xiangzhi Eric Wang, Chen Li, Peter H.F. Ng, Xiao Huang, Junnan Dong, Yaowei Wang, George Baciu, Jiannong Cao, Qing Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Edu-metaverse is a specialized metaverse dedicated for interactive education in an immersive environment. Its main purpose is to immerse the learners in a digital environment and conduct learning activities that could mirror reality. Not only does it enable activities that may be difficult to perform in the real world, but it also extends the interaction to personalized and CL. This is a more effective pedagogical approach as it tends to enhance the motivation and engagement of students and it increases their active participation in lessons delivered. To this extend, we propose to realize an interactive virtual teaching assistant called NivTA. To make NivTA easily accessible and engaging by multiple users simultaneously, we also propose to use a CAVE virtual environment (CAVE-VR) as a "metaverse window"into concepts, ideas, topics, and learning activities. The students simply need to step into the CAVE-VR and interact with a life-size teaching assistant that they can engage with naturally, as if they are approaching a real person. Instead of text-based interaction currently developed for large language models (LLM), NivTA is given additional cues regarding the users so it can react more naturally via a specific prompt design. For example, the user can simply point to an educational concept and ask NivTA to explain what it is. To guide NivTA onto the educational concept, the prompt is also designed to feed in an educational KG to provide NivTA with the context of the student's question. The NivTA system is an integration of several components that are discussed in this paper. We further describe how the system is designed and implemented, along with potential applications and future work on interactive collaborative edu-metaverse environments dedicated for teaching and learning.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages57-64
Number of pages8
ISBN (Electronic)9798331515997
DOIs
Publication statusPublished - 2024
Event2nd IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024 - Hong Kong, China
Duration: 12 Aug 202414 Aug 2024

Publication series

NameProceedings - 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024

Conference

Conference2nd IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024
Country/TerritoryChina
CityHong Kong
Period12/08/2414/08/24

Keywords

  • cave automatic virtual environment
  • LLM agents
  • natural user interface
  • virtual teaching assistant

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Software
  • Media Technology

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