Paper Abstract and Keywords |
Presentation |
2018-03-19 15:00
[Invited Talk]
Human Behavior Sensing and Analysis Technologies for Kaizen Activity in Labor Intensive Services Industry Takashi Okuma (AIST), Takeshi Shinmura (Ritsumeikan Univ.) BioX2017-67 PRMU2017-203 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In labor-intensive service fields, it is expected that productivity will be improved by introducing intelligent machines such as robot technology and artificial intelligence technology. However, in order to construct such systems in which human and intelligent machines harmonize in service fields where diverse people are working, it is necessary to objectively and quantitatively evaluate the change of human behavior caused by introducing the system. Human behavior sensing and analysis technologies for supporting kaizen activity in the field of service engineering can be applied to the evaluation process. In this article, we outline the measurement and analysis technology used especially in some case studies held on the Japanese cuisine restaurants. We also introduce the on-going case study of employee behavior change caused by introduction of transport robot to Japanese restaurant. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
service engineering / human behavior sensing / 3-D environment reconstruction / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 514, PRMU2017-203, pp. 185-188, March 2018. |
Paper # |
PRMU2017-203 |
Date of Issue |
2018-03-11 (BioX, PRMU) |
ISSN |
Print edition: ISSN 0913-5685 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) |
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BioX2017-67 PRMU2017-203 |
Conference Information |
Committee |
PRMU BioX |
Conference Date |
2018-03-18 - 2018-03-19 |
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(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2018-03-PRMU-BioX |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Human Behavior Sensing and Analysis Technologies for Kaizen Activity in Labor Intensive Services Industry |
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service engineering |
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human behavior sensing |
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3-D environment reconstruction |
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1st Author's Name |
Takashi Okuma |
1st Author's Affiliation |
National Institute of Advanced Industrial Science and Technology (AIST) |
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Takeshi Shinmura |
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Ritsumeikan University (Ritsumeikan Univ.) |
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Speaker |
Author-1 |
Date Time |
2018-03-19 15:00:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
BioX2017-67, PRMU2017-203 |
Volume (vol) |
vol.117 |
Number (no) |
no.513(BioX), no.514(PRMU) |
Page |
pp.185-188 |
#Pages |
4 |
Date of Issue |
2018-03-11 (BioX, PRMU) |
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