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LingoAI: Language Learning System Integrating Generative AI with 3D Virtual Character

Published: 03 June 2024 Publication History

Abstract

In this study, we developed LingoAI with the aim of solving the limitations that have arisen in chatbot language learning. The proposed method automatically generates natural responses in real time according to the learner’s inputs (i.e., voice and text), and a 3D character with facial expression changes and lip-sync is output as voice. This paper presents a functional overview and implementation of the LingoAI system.

References

[1]
Reham El Shazly. 2021. Effects of artificial intelligence on English speaking anxiety and speaking performance: A case study. In Expert Systems, Vol. 38. e12667. https://doi.org/10.1111/exsy.12667
[2]
VRoid Hub. 2021. AvatarSample_A. Retrieved March 1, 2024 from https://hub.vroid.com/characters/2843975675147313744/models/5644550979324015604
[3]
pixiv. 2023. ChatVRM. Retrieved March 1, 2024 from http://github.com/pixiv/ChatVRM
[4]
Andrew Thompson, Andrew Gallacher, and Mark Howarth. 2018. Stimulating task interest: human partners or chatbots?. In Future-proof CALL: language learning as exploration and encounters – short papers from EUROCALL 2018. 302–306. https://doi.org/10.14705/rpnet.2018.26.854
[5]
Teimouri Yasser, Julia Goetze, and Luke Plonsky. 2019. SECOND LANGUAGE ANXIETY AND ACHIEVEMENT: A META-ANALYSIS. In Studies in Second Language Acquisition, Vol. 41. CAMBRIDGE, 363–387. https://doi.org/10.1017/S0272263118000311

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  1. LingoAI: Language Learning System Integrating Generative AI with 3D Virtual Character

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    AVI '24: Proceedings of the 2024 International Conference on Advanced Visual Interfaces
    June 2024
    578 pages
    ISBN:9798400717642
    DOI:10.1145/3656650
    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.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 03 June 2024

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    Author Tags

    1. 3D Virtual character
    2. Generative AI
    3. Language Learning

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    • Poster
    • Research
    • Refereed limited

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    AVI 2024

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    AVI '24 Paper Acceptance Rate 21 of 82 submissions, 26%;
    Overall Acceptance Rate 128 of 490 submissions, 26%

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