Presentation 2020-11-26
A Study of Business Task Classification Method for UI Logs Using Business Operational Manuals
Yuki Urabe, Shiro Ogasawara, Kimio Tsuchikawa, Sayaka Yagi, Haruo Oishi,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) UI log / business operation manual / business task classification / business operations improvement
Paper # ICM2020-22
Date of Issue 2020-11-19 (ICM)

Conference Information
Committee NS / ICM / CQ
Conference Date 2020/11/26(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Virtual Conference
Topics (in Japanese) (See Japanese page)
Topics (in English) Network quality, Network measurement/management, Network virtualization, Network service, Blockchain, Security, Network intelligence, etc.
Chair Akihiro Nakao(Univ. of Tokyo) / Kazuhiko Kinoshita(Tokushima Univ.) / Hideyuki Shimonishi(NEC)
Vice Chair Tetsuya Oishi(NTT) / Yoichi Sato(NEC) / Haruo Ooishi(NTT) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.)
Secretary Tetsuya Oishi(NTT) / Yoichi Sato(Chuo Univ.) / Haruo Ooishi(NTT) / Jun Okamoto(Bosco) / Takefumi Hiraguri(Doshisha Univ.)
Assistant Shinya Kawano(NTT) / Tetsuya Uchiumi(Fujitsu Lab.) / Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT) / Ryoichi Kataoka(KDDI Research)

Paper Information
Registration To Technical Committee on Network Systems / Technical Committee on Information and Communication Management / Technical Committee on Communication Quality
Language JPN
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)
Date 2020-11-26
Paper # ICM2020-22
Volume (vol) vol.120
Number (no) ICM-259
Page pp.pp.23-28(ICM),
#Pages 6
Date of Issue 2020-11-19 (ICM)