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Li Bai the Youth: An LLM-Powered Virtual Agent for Children's Chinese Poetry Education

Published: 02 December 2024 Publication History

Abstract

Large language models (LLMs) are increasingly recognized for their potential, but their application in fostering children’s poetry learning remains underexplored. This paper introduces Li Bai the Youth, an interactive installation that leverages a virtual agent powered by an LLM. We present a technical pipeline incorporating text-to-speech, lip synchronization, and other functionalities to enable real-time conversation between users and the virtual agent, Li Bai. Additionally, we implemented strategies to enhance the user experience during interaction. Li Bai the Youth offers a novel approach to poetry learning, promoting cultural heritage engagement.

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References

[1]
Amy L Baylor. 2009. Promoting motivation with virtual agents and avatars: role of visual presence and appearance. Philosophical Transactions of the Royal Society B: Biological Sciences 364, 1535 (2009), 3559–3565.
[2]
Khe Foon Hew, Weijiao Huang, Jiahui Du, and Chengyuan Jia. 2023. Using chatbots to support student goal setting and social presence in fully online activities: learner engagement and perceptions. Journal of Computing in Higher Education 35, 1 (2023), 40–68.
[3]
Majeed Kazemitabaar, Runlong Ye, Xiaoning Wang, Austin Zachary Henley, Paul Denny, Michelle Craig, and Tovi Grossman. 2024. Codeaid: Evaluating a classroom deployment of an llm-based programming assistant that balances student and educator needs. In Proceedings of the CHI Conference on Human Factors in Computing Systems. 1–20.
[4]
Jennifer Meyer, Thorben Jansen, Ronja Schiller, Lucas W Liebenow, Marlene Steinbach, Andrea Horbach, and Johanna Fleckenstein. 2024. Using LLMs to bring evidence-based feedback into the classroom: AI-generated feedback increases secondary students’ text revision, motivation, and positive emotions. Computers and Education: Artificial Intelligence 6 (2024), 100199.

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Published In

cover image ACM Conferences
SA '24: SIGGRAPH Asia 2024 Posters
December 2024
260 pages
ISBN:9798400711381
DOI:10.1145/3681756
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 December 2024

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Author Tags

  1. Large Language Models
  2. Virtual Agent
  3. Poetry Education
  4. Real-time Conversation

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SA '24
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SA '24: SIGGRAPH Asia 2024 Posters
December 3 - 6, 2024
Tokyo, Japan

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Overall Acceptance Rate 178 of 869 submissions, 20%

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