TY - GEN
T1 - Organization of Work Situations and the Involved Documents in Complicated Documenting via Intuitive Triggers
AU - Tanaka, Kenji
AU - Nakayama, Hiroki
AU - Onuma, Ryo
AU - Kaminaga, Hiroaki
AU - Miyadera, Youzou
AU - Nakamura, Shoichi
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported in part by the Ministry of Education, Culture, Sports, Science and Technology, Japan and by Japan Society for the Promotion of Science under Grant-in-Aid for Scientific Research (B) (No. 17H01990).
Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Opportunities to conduct the complicated documenting work, that is, creating and elaborating documents through such tasks as exploring the Web and reviewing existing documents, have increased more and more. For such work, it is important to skillfully manage the deliverables along with their editing processes and utilize them for later work. However, the documents involved generally become diversified and enormous in number since documenting work is generally done over a long period of time. These features make managing documents difficult. In particular, it is often the case that a user wants to find and reuse documents that he/she used in past work. It is however difficult to recall past work situations and the documents involved on the basis of human memory and folder management. In this research, we aim at developing methods for organizing work situations and the documents involved via intuitive clues. In this paper, we describe a framework that supports complicated documenting work. We also describe methods for generating recall networks. Finally, we describe an experiment done using practical history data and discuss the characteristics of our methods based on the results.
AB - Opportunities to conduct the complicated documenting work, that is, creating and elaborating documents through such tasks as exploring the Web and reviewing existing documents, have increased more and more. For such work, it is important to skillfully manage the deliverables along with their editing processes and utilize them for later work. However, the documents involved generally become diversified and enormous in number since documenting work is generally done over a long period of time. These features make managing documents difficult. In particular, it is often the case that a user wants to find and reuse documents that he/she used in past work. It is however difficult to recall past work situations and the documents involved on the basis of human memory and folder management. In this research, we aim at developing methods for organizing work situations and the documents involved via intuitive clues. In this paper, we describe a framework that supports complicated documenting work. We also describe methods for generating recall networks. Finally, we describe an experiment done using practical history data and discuss the characteristics of our methods based on the results.
KW - complicated documenting
KW - recall network
KW - recall of work situations
KW - screenshot
KW - summary of document
UR - http://www.scopus.com/inward/record.url?scp=85080890216&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85080890216&partnerID=8YFLogxK
U2 - 10.1109/ICBDA47563.2019.8987011
DO - 10.1109/ICBDA47563.2019.8987011
M3 - Conference contribution
AN - SCOPUS:85080890216
T3 - 2019 IEEE Conference on Big Data and Analytics, ICBDA 2019
SP - 24
EP - 28
BT - 2019 IEEE Conference on Big Data and Analytics, ICBDA 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Conference on Big Data and Analytics, ICBDA 2019
Y2 - 19 November 2019 through 21 November 2019
ER -