Overcoming Facial Animation Hurdles by Leveraging Interdisciplinary Knowledge and AI-Assisted Creative Process

Kelvin Lee

doi:10.1145/3757372.3771851

Overcoming Facial Animation Hurdles by Leveraging Interdisciplinary Knowledge and AI-Assisted Creative Process

Kelvin Lee^*

^*Corresponding author for this work

Department of Interactive Media

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

Abstract

This paper addresses the challenge of limited acting skills in facial animation education, which is further heightened by the advent of realistic digital humans such as Unreal Engine MetaHuman. We introduce a transformative interdisciplinary framework that combines animation technology (Unreal Engine MetaHuman) with psychological theory (Scherer's appraisal theory) to address this issue. Together with the integration of AI tools in the workflow, such as Microsoft Copilot, Adobe Firefly, and an AI voice changer, the framework supports student creativity, helping students overcome performance anxiety and develop nuanced facial animation performance.

Original language	English
Title of host publication	Proceedings - SIGGRAPH Asia 2025 Educator's Forum, SA 2025
Editors	Taku Komura, Meili Wang
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Pages	1-2
Number of pages	2
ISBN (Electronic)	9798400721328
DOIs	https://doi.org/10.1145/3757372.3771851
Publication status	Published - 14 Dec 2025
Event	SIGGRAPH Asia 2025 - , Hong Kong, China Duration: 15 Dec 2025 → 18 Dec 2025 https://asia.siggraph.org/2025/ (Conference Website) https://dl.acm.org/doi/proceedings/10.1145/3757376 (Conference Proceedings)

Publication series

Name	Proceedings - SIGGRAPH Asia Educator's Forum

Conference

Conference	SIGGRAPH Asia 2025
Country/Territory	Hong Kong, China
Period	15/12/25 → 18/12/25
Internet address	https://asia.siggraph.org/2025/ (Conference Website) https://dl.acm.org/doi/proceedings/10.1145/3757376 (Conference Proceedings)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3757372.3771851

Cite this

Lee, K. (2025). Overcoming Facial Animation Hurdles by Leveraging Interdisciplinary Knowledge and AI-Assisted Creative Process. In T. Komura, & M. Wang (Eds.), Proceedings - SIGGRAPH Asia 2025 Educator's Forum, SA 2025 (pp. 1-2). Article 19 (Proceedings - SIGGRAPH Asia Educator's Forum). Association for Computing Machinery (ACM). https://doi.org/10.1145/3757372.3771851

@inproceedings{f23bc7478ce8417e984e25860449b55e,

title = "Overcoming Facial Animation Hurdles by Leveraging Interdisciplinary Knowledge and AI-Assisted Creative Process",

abstract = "This paper addresses the challenge of limited acting skills in facial animation education, which is further heightened by the advent of realistic digital humans such as Unreal Engine MetaHuman. We introduce a transformative interdisciplinary framework that combines animation technology (Unreal Engine MetaHuman) with psychological theory (Scherer's appraisal theory) to address this issue. Together with the integration of AI tools in the workflow, such as Microsoft Copilot, Adobe Firefly, and an AI voice changer, the framework supports student creativity, helping students overcome performance anxiety and develop nuanced facial animation performance.",

author = "Kelvin Lee",

note = "Publisher Copyright: {\textcopyright} 2025 Copyright held by the owner/author(s).; SIGGRAPH Asia 2025 ; Conference date: 15-12-2025 Through 18-12-2025",

year = "2025",

month = dec,

day = "14",

doi = "10.1145/3757372.3771851",

language = "English",

series = "Proceedings - SIGGRAPH Asia Educator's Forum",

publisher = "Association for Computing Machinery (ACM)",

pages = "1--2",

editor = "Taku Komura and Meili Wang",

booktitle = "Proceedings - SIGGRAPH Asia 2025 Educator's Forum, SA 2025",

address = "United States",

url = "https://asia.siggraph.org/2025/, https://dl.acm.org/doi/proceedings/10.1145/3757376",

}

Lee, K 2025, Overcoming Facial Animation Hurdles by Leveraging Interdisciplinary Knowledge and AI-Assisted Creative Process. in T Komura & M Wang (eds), Proceedings - SIGGRAPH Asia 2025 Educator's Forum, SA 2025., 19, Proceedings - SIGGRAPH Asia Educator's Forum, Association for Computing Machinery (ACM), New York, pp. 1-2, SIGGRAPH Asia 2025, Hong Kong, China, 15/12/25. https://doi.org/10.1145/3757372.3771851

Overcoming Facial Animation Hurdles by Leveraging Interdisciplinary Knowledge and AI-Assisted Creative Process. / Lee, Kelvin.
Proceedings - SIGGRAPH Asia 2025 Educator's Forum, SA 2025. ed. / Taku Komura; Meili Wang. New York: Association for Computing Machinery (ACM), 2025. p. 1-2 19 (Proceedings - SIGGRAPH Asia Educator's Forum).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Overcoming Facial Animation Hurdles by Leveraging Interdisciplinary Knowledge and AI-Assisted Creative Process

AU - Lee, Kelvin

PY - 2025/12/14

Y1 - 2025/12/14

N2 - This paper addresses the challenge of limited acting skills in facial animation education, which is further heightened by the advent of realistic digital humans such as Unreal Engine MetaHuman. We introduce a transformative interdisciplinary framework that combines animation technology (Unreal Engine MetaHuman) with psychological theory (Scherer's appraisal theory) to address this issue. Together with the integration of AI tools in the workflow, such as Microsoft Copilot, Adobe Firefly, and an AI voice changer, the framework supports student creativity, helping students overcome performance anxiety and develop nuanced facial animation performance.

AB - This paper addresses the challenge of limited acting skills in facial animation education, which is further heightened by the advent of realistic digital humans such as Unreal Engine MetaHuman. We introduce a transformative interdisciplinary framework that combines animation technology (Unreal Engine MetaHuman) with psychological theory (Scherer's appraisal theory) to address this issue. Together with the integration of AI tools in the workflow, such as Microsoft Copilot, Adobe Firefly, and an AI voice changer, the framework supports student creativity, helping students overcome performance anxiety and develop nuanced facial animation performance.

UR - https://www.scopus.com/pages/publications/105026189124

U2 - 10.1145/3757372.3771851

DO - 10.1145/3757372.3771851

M3 - Conference proceeding

AN - SCOPUS:105026189124

T3 - Proceedings - SIGGRAPH Asia Educator's Forum

SP - 1

EP - 2

BT - Proceedings - SIGGRAPH Asia 2025 Educator's Forum, SA 2025

A2 - Komura, Taku

A2 - Wang, Meili

PB - Association for Computing Machinery (ACM)

CY - New York

T2 - SIGGRAPH Asia 2025

Y2 - 15 December 2025 through 18 December 2025

ER -

Overcoming Facial Animation Hurdles by Leveraging Interdisciplinary Knowledge and AI-Assisted Creative Process

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this