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Paper Abstract and Keywords
Presentation 2022-10-07 10:20
Generation of natural agent behavior based on machine learning
Nobuaki Miyazawa, Atsushi Nakazawa (Kyoto Univ) MVE2022-30
Abstract (in Japanese) (See Japanese page) 
(in English) As avatars (agents) are beginning to be used in various situations, there is a demand for agents that perform more human-like actions. In this study, we trained various machine-learning models to perform human-like actions in conversations, generated actions using the models, and evaluated the effectiveness of the models. Specifically, we conducted experiments in which two subjects talked with each other and obtained time-series data about the subjects' gazing states and utterances. Using this dataset, we trained models based on HMM and Transformer. Next, we generated behavior of agents in conversations using the learned model, reproduced conversation scenes using a game engine, and subjectively evaluated the naturalness and reality of the generated results. The results showed that the model based on the Transformer can flexibly select actions.
Keyword (in Japanese) (See Japanese page) 
(in English) Human-Agent Interaction / machine-learning / behavioral decision model / anthropomorphic agents / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 200, MVE2022-30, pp. 69-73, Oct. 2022.
Paper # MVE2022-30 
Date of Issue 2022-09-29 (MVE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MVE2022-30

Conference Information
Committee MVE VRSJ-SIG-MR IPSJ-EC HI-SIG-DeMO VRSJ-SIG-CS  
Conference Date 2022-10-06 - 2022-10-07 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2022-10-MVE-SIG-MR-EC-SIG-DeMO-SIG-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Generation of natural agent behavior based on machine learning 
Sub Title (in English)  
Keyword(1) Human-Agent Interaction  
Keyword(2) machine-learning  
Keyword(3) behavioral decision model  
Keyword(4) anthropomorphic agents  
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1st Author's Name Nobuaki Miyazawa  
1st Author's Affiliation Kyoto University (Kyoto Univ)
2nd Author's Name Atsushi Nakazawa  
2nd Author's Affiliation Kyoto University (Kyoto Univ)
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Speaker Author-1 
Date Time 2022-10-07 10:20:00 
Presentation Time 20 minutes 
Registration for MVE 
Paper # MVE2022-30 
Volume (vol) vol.122 
Number (no) no.200 
Page pp.69-73 
#Pages 5 
Date of Issue 2022-09-29 (MVE) 

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