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Paper Abstract and Keywords
Presentation 2020-11-26 11:20
A Study of Business Task Classification Method for UI Logs Using Business Operational Manuals
Yuki Urabe, Shiro Ogasawara, Kimio Tsuchikawa, Sayaka Yagi, Haruo Oishi (NTT) ICM2020-22
Abstract (in Japanese) (See Japanese page) 
(in English) Understanding the actual business operations is highly important to realize effective performance improvement. One of the ways to understand business operations is to visualize the software usage from UI log collected from workers' PC. Although understanding the actual workload by business tasks is important to determine which task to improve from, some software is used in various business operations, therefore, it is impossible to grasp the workload per business tasks just from the software usage. Moreover, collecting UI logs to use as training data is not only time-consuming but also difficult to collect a variety of activities because analyzers do not always know workers’ activities thoroughly. In this paper, we propose a method that classifies UI log to business tasks by utilizing the content written in business operation manuals. We evaluated our method by using real-world data and manuals and reported the results and problems of our proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) UI log / business operation manual / business task classification / business operations improvement / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 259, ICM2020-22, pp. 23-28, Nov. 2020.
Paper # ICM2020-22 
Date of Issue 2020-11-19 (ICM) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 ICM2020-22

Conference Information
Committee NS ICM CQ NV  
Conference Date 2020-11-26 - 2020-11-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network quality, Network measurement/management, Network virtualization, Network service, Blockchain, Security, Network intelligence, etc. 
Paper Information
Registration To ICM 
Conference Code 2020-11-NS-ICM-CQ-NV 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Business Task Classification Method for UI Logs Using Business Operational Manuals 
Sub Title (in English)  
Keyword(1) UI log  
Keyword(2) business operation manual  
Keyword(3) business task classification  
Keyword(4) business operations improvement  
1st Author's Name Yuki Urabe  
1st Author's Affiliation NTT Access Network Service Systems Laboratories (NTT)
2nd Author's Name Shiro Ogasawara  
2nd Author's Affiliation NTT Access Network Service Systems Laboratories (NTT)
3rd Author's Name Kimio Tsuchikawa  
3rd Author's Affiliation NTT Access Network Service Systems Laboratories (NTT)
4th Author's Name Sayaka Yagi  
4th Author's Affiliation NTT Access Network Service Systems Laboratories (NTT)
5th Author's Name Haruo Oishi  
5th Author's Affiliation NTT Access Network Service Systems Laboratories (NTT)
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Date Time 2020-11-26 11:20:00 
Presentation Time 25 
Registration for ICM 
Paper # IEICE-ICM2020-22 
Volume (vol) IEICE-120 
Number (no) no.259 
Page pp.23-28 
#Pages IEICE-6 
Date of Issue IEICE-ICM-2020-11-19 

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