Presentation 2022-01-27
Competitive Group Atmosphere Generation Model of Multiple Virtual Agents in Group Training
Cong Wang, Naoto Yoshida, Tomoko Yonezawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this study, we aim to improve users' learning motivation to elevate work efficiency by presenting anthropomorphic virtual agents that make up multiple groups. A partner agent behaves as a member of the internal group collaborating with the user, while being aware of the outgroups as competitors. In this paper, we propose a method to generate the working atmosphere of a group agent, which consists of four types of actions: work, break, look at other groups, and speak within the group in expressing three types of facial expressions: negative, neutral, and positive. Based on the expressions, we propose an automatic expressive model that generates these expressions according to the user's state.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Multiple anthropomorphic agents / Competition / Cooperation / Ambient atmosphere
Paper # MVE2021-35
Date of Issue 2022-01-20 (MVE)

Conference Information
Committee MVE / IPSJ-CVIM / VRSJ-SIG-MR
Conference Date 2022/1/27(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Masayuki Ihara(RIKEN)
Vice Chair Kiyoshi Kiyokawa(NAIST)
Secretary Kiyoshi Kiyokawa(Oosaka Inst. of Tech.) / (NTT) / (Univ. of ToKyo)
Assistant Naoya Isoyama(NAIST) / Takenori Hara(DNP) / Mitsuhiro Goto(NTT)

Paper Information
Registration To Technical Committee on Media Experience and Virtual Environment / Special Interest Group on Computer Vision and Image Media / SIG-MR
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Competitive Group Atmosphere Generation Model of Multiple Virtual Agents in Group Training
Sub Title (in English)
Keyword(1) Multiple anthropomorphic agents
Keyword(2) Competition
Keyword(3) Cooperation
Keyword(4) Ambient atmosphere
1st Author's Name Cong Wang
1st Author's Affiliation Kansai University(Kansai Univ)
2nd Author's Name Naoto Yoshida
2nd Author's Affiliation Nagoya University(Nagoya Univ)
3rd Author's Name Tomoko Yonezawa
3rd Author's Affiliation Kansai University(Kansai Univ)
Date 2022-01-27
Paper # MVE2021-35
Volume (vol) vol.121
Number (no) MVE-349
Page pp.pp.31-36(MVE),
#Pages 6
Date of Issue 2022-01-20 (MVE)