TY - GEN
T1 - Extraction and Extended Analysis of Good Jobs from Safety Reports Using Text Mining-Focusing on the Voluntary Information Contributory to Enhancement of the Safety (VOICES) Data
AU - Takagi, Tsubasa
AU - Osawa, Ayumu
AU - Nakanishi, Miwa
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2021.
PY - 2021
Y1 - 2021
N2 - To incorporate Safety-II, which pertains to the continuation of stable operations, into safety management, we must understand why and how everyday operations are successfully carried out. However, there are no effective methods that enable such analysis since successful operations do not have to be reported in depth and are rarely analyzed. In this research, we extracted and undertook an additional analysis of the efforts or actions practiced at the sharp end to make things go right (Good Jobs) from safety reports describing events where an accident or a disaster had been successfully avoided or overcome. Specifically, we analyzed the Voluntary Information Contributory to Enhancement of the Safety (VOICES), which is one of the safety reports widely used in the field of Japanese aviation and is open to the public. In this paper, the discussions are focused on the practical analysis of the extracted Good Jobs so that they could be evaluated in depth.
AB - To incorporate Safety-II, which pertains to the continuation of stable operations, into safety management, we must understand why and how everyday operations are successfully carried out. However, there are no effective methods that enable such analysis since successful operations do not have to be reported in depth and are rarely analyzed. In this research, we extracted and undertook an additional analysis of the efforts or actions practiced at the sharp end to make things go right (Good Jobs) from safety reports describing events where an accident or a disaster had been successfully avoided or overcome. Specifically, we analyzed the Voluntary Information Contributory to Enhancement of the Safety (VOICES), which is one of the safety reports widely used in the field of Japanese aviation and is open to the public. In this paper, the discussions are focused on the practical analysis of the extracted Good Jobs so that they could be evaluated in depth.
KW - Aviation
KW - Good jobs
KW - Safety reports
KW - Safety-II
KW - Text mining
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U2 - 10.1007/978-3-030-78361-7_34
DO - 10.1007/978-3-030-78361-7_34
M3 - Conference contribution
AN - SCOPUS:85142828436
SN - 9783030783600
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 439
EP - 454
BT - Human Interface and the Management of Information. Information-Rich and Intelligent Environments - Thematic Area, HIMI 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Proceedings
A2 - Yamamoto, Sakae
A2 - Mori, Hirohiko
PB - Springer Science and Business Media Deutschland GmbH
T2 - Thematic area Human Interface and the Management of Information, HIMI 2021 Held as Part of the 23rd HCI International Conference, HCII 2021
Y2 - 24 July 2021 through 29 July 2021
ER -