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PRODID:Linklings LLC
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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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TZNAME:JST
DTSTART:18871231T000000
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DTSTAMP:20260817T171532Z
LOCATION:G502\, G Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241205T132000
DTEND;TZID=Asia/Tokyo:20241205T134000
UID:siggraphasia_SIGGRAPH Asia 2024_sess295_edu_131@linklings.com
SUMMARY:Embodied AI-Guided Interactive Digital Teacher for Education
DESCRIPTION:Zhuoran Zhao, Zhizhuo Yin, Jia Sun, and Pan Hui (Hong Kong Uni
 versity of Science and Technology, Guangzhou)\n\nTraditional education is 
 considered incapable of providing prompt feedback, facilitating proactive 
 learning, and giving indiscriminate responses. This has been observed in b
 oth in-person classes and online courses, especially when students' questi
 ons fall outside the instructors' knowledge base or are considered trivial
  by instructors. Nowadays, the advent of large language models (LLMs) has 
 revolutionized knowledge acquisition. The LLM-based chatbots enable fast l
 earning through interactive question-answering, which serves as an effecti
 ve supplement to traditional educational approaches and even shows potenti
 al for replacement. To utilize such advancements in education, we propose 
 MAGI, a novel system providing Embodied AI-Guided Interactive digital teac
 hers for education, which integrates LLM-based chatbot technology. To ensu
 re MAGI generates answers without hallucination, we employ a novel retriev
 al-augmented generation (RAG) paradigm to organize and retrieve useful edu
 cational documents for the LLM. Moreover, we create animatable 3D avatars 
 powered by text-to-speech and audio-to-motion models to provide students w
 ith interactive conversation experiences. We highlight the possibility of 
 MAGI to enhance education accessibility and improve the overall learning e
 xperience.\n\nRegistration Category: Enhanced Access, Full Access, Full Ac
 cess Supporter\n\nLanguage Format: English Language\n\nSession Chair: xuej
 un xuan (China Academy of Art, School of Animation and Games)\n\n
URL:https://asia.siggraph.org/2024/program/?id=edu_131&sess=sess295
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