Organization of Work Situations and the Involved Documents in Complicated Documenting via Intuitive Triggers

Kenji Tanaka, Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2019 IEEE Conference on Big Data and Analytics, ICBDA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages24-28
Number of pages5
ISBN (Electronic)9781728133089
DOIs
Publication statusPublished - 2019 Nov
Event2019 IEEE Conference on Big Data and Analytics, ICBDA 2019 - Penang, Malaysia
Duration: 2019 Nov 192019 Nov 21

Publication series

Name2019 IEEE Conference on Big Data and Analytics, ICBDA 2019

Conference

Conference2019 IEEE Conference on Big Data and Analytics, ICBDA 2019
Country/TerritoryMalaysia
CityPenang
Period19/11/1919/11/21

Keywords

  • complicated documenting
  • recall network
  • recall of work situations
  • screenshot
  • summary of document

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Decision Sciences (miscellaneous)

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