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Paper Abstract and Keywords
Presentation 2008-12-10 11:20
Mutually-Adaptive Generation of Utterances Based on Belief Shared by Human And Robots in Real World.
Shinya Nakamura (UEC/NICT), Naoto Iwahashi (NICT/ATR), Takayuki Nagai (The University of Electro-Communications) NLC2008-39 SP2008-94
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, an utterance generation method is proposed.
Generated utterances are used to communicate with a user in real world depending on the degree of coincidence of belief, which shared by a user and the robot.
The robot learns the belief model shared by a user and the robot, which represents the concepts such as motion and object, and the function, which expresses the degree of coincidence of beliefs, online, simultaneously, through Human-Robot interaction with objects.
The robot’s system of belief is represented by a probabilistic model.
Through the learning, the robot acquires the performance to select some words and to change number of words of the utterance appropriately in order to convey the utterance correctly, depending on the shared belief.
The validity of the proposed algorithm is shown through some experiments under various conditions.
Keyword (in Japanese) (See Japanese page) 
(in English) Utterance Generation / Shared Belief / Online Learning / Probabilistic Model / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 337, NLC2008-39, pp. 91-96, Dec. 2008.
Paper # NLC2008-39 
Date of Issue 2008-12-02 (NLC, SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 NLC2008-39 SP2008-94

Conference Information
Committee SP NLC  
Conference Date 2008-12-09 - 2008-12-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLC 
Conference Code 2008-12-SP-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Mutually-Adaptive Generation of Utterances Based on Belief Shared by Human And Robots in Real World. 
Sub Title (in English)  
Keyword(1) Utterance Generation  
Keyword(2) Shared Belief  
Keyword(3) Online Learning  
Keyword(4) Probabilistic Model  
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1st Author's Name Shinya Nakamura  
1st Author's Affiliation The University of Electro-Communications, National Institute of Information and Communications Technology (UEC/NICT)
2nd Author's Name Naoto Iwahashi  
2nd Author's Affiliation National Institute of Information and Communications Technology, Advanced Telecommunications Research Institute International (NICT/ATR)
3rd Author's Name Takayuki Nagai  
3rd Author's Affiliation The University of Electro-Communications (The University of Electro-Communications)
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Speaker Author-1 
Date Time 2008-12-10 11:20:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2008-39, SP2008-94 
Volume (vol) vol.108 
Number (no) no.337(NLC), no.338(SP) 
Page pp.91-96 
#Pages
Date of Issue 2008-12-02 (NLC, SP) 


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