A project restarting support system using the historical log of a user's window usage

  • Authors:
  • Masaki Omata;Kei Ogasawara;Atsumi Imamiya

  • Affiliations:
  • University of Yamanashi, Yamanashi, Japan;University of Yamanashi, Yamanashi, Japan;University of Yamanashi, Yamanashi, Japan

  • Venue:
  • Proceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction
  • Year:
  • 2010

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Abstract

This paper proposes a project restarting support system using the historical log of window usage on a computer desktop. The system allows users to simultaneously reopen files associated with a main file by automatically detecting important windows and associated windows from a log. By using our system, users can manage windows in a project without having to manually group windows. We conduct an experiment to evaluate the system. The results indicate that the system can accurately identify as important windows the main files a user used for projects by clustering keyboard operation times on windows; it can also detect files associated with the main file without detection omissions by clustering window z values and visible representation ratios.