The emotional metaverse: exploring the benefits of predicting emotion from 3D avatars

Darren Bellenger; Minsi Chen; Zhijie Xu

doi:10.1016/j.procs.2024.01.018

The emotional metaverse: exploring the benefits of predicting emotion from 3D avatars

Darren Bellenger^*
, Minsi Chen
, Zhijie Xu

^*Corresponding author for this work

University of Huddersfield

Research output: Contribution to journal › Conference article › peer-review

3 Citations (Scopus)

Abstract

With the metaverse here to stay, we are seeing ever more advances in capability. This includes the ability to incorporate real-time body and facial animation, so that personalised avatars can display our changing expressions, allowing those we meet to gauge our mood. Given this advance, the opportunity now exists to utilise emotion recognition from avatars. This positional paper explores the benefits of utilising emotion prediction within the metaverse.

Original language	English
Pages (from-to)	183-190
Number of pages	8
Journal	Procedia Computer Science
Volume	232
DOIs	https://doi.org/10.1016/j.procs.2024.01.018
Publication status	Published - 2024
Externally published	Yes
Event	5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023 - Lisbon, Portugal Duration: 22 Nov 2023 → 24 Nov 2023

Keywords

Avatars
Emotion
Metaverse
Online Games
Virtual Reality

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10.1016/j.procs.2024.01.018

Cite this

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title = "The emotional metaverse: exploring the benefits of predicting emotion from 3D avatars",

abstract = "With the metaverse here to stay, we are seeing ever more advances in capability. This includes the ability to incorporate real-time body and facial animation, so that personalised avatars can display our changing expressions, allowing those we meet to gauge our mood. Given this advance, the opportunity now exists to utilise emotion recognition from avatars. This positional paper explores the benefits of utilising emotion prediction within the metaverse.",

keywords = "Avatars, Emotion, Metaverse, Online Games, Virtual Reality",

author = "Darren Bellenger and Minsi Chen and Zhijie Xu",

note = "Publisher Copyright: {\textcopyright} 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0); 5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023 ; Conference date: 22-11-2023 Through 24-11-2023",

year = "2024",

doi = "10.1016/j.procs.2024.01.018",

language = "English",

volume = "232",

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T1 - The emotional metaverse

T2 - 5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023

AU - Bellenger, Darren

AU - Chen, Minsi

AU - Xu, Zhijie

PY - 2024

Y1 - 2024

N2 - With the metaverse here to stay, we are seeing ever more advances in capability. This includes the ability to incorporate real-time body and facial animation, so that personalised avatars can display our changing expressions, allowing those we meet to gauge our mood. Given this advance, the opportunity now exists to utilise emotion recognition from avatars. This positional paper explores the benefits of utilising emotion prediction within the metaverse.

AB - With the metaverse here to stay, we are seeing ever more advances in capability. This includes the ability to incorporate real-time body and facial animation, so that personalised avatars can display our changing expressions, allowing those we meet to gauge our mood. Given this advance, the opportunity now exists to utilise emotion recognition from avatars. This positional paper explores the benefits of utilising emotion prediction within the metaverse.

KW - Avatars

KW - Emotion

KW - Metaverse

KW - Online Games

KW - Virtual Reality

UR - https://www.scopus.com/pages/publications/85189829221

U2 - 10.1016/j.procs.2024.01.018

DO - 10.1016/j.procs.2024.01.018

M3 - Conference article

AN - SCOPUS:85189829221

SN - 1877-0509

VL - 232

SP - 183

EP - 190

JO - Procedia Computer Science

JF - Procedia Computer Science

Y2 - 22 November 2023 through 24 November 2023

ER -

The emotional metaverse: exploring the benefits of predicting emotion from 3D avatars

Abstract

Keywords

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