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A sketch+fisheye interface for visual analytics of large time-series

  • Lei Ren*
  • , Yi Du
  • *Corresponding author for this work
  • Chinese Academy of Sciences

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper develops a sketch+fisheye interface supporting natural HCI in visual anal sis of lar e multi le time-series. The sketch-based fisheye can help analysts to efficiently analyze the high density temporal data at multi-scale magnification level while maintainin the entire tern oral context. The sketch-based multiple time-series query provides a natural HCI technique which is especially suitable for visual analysis of temporal curves. This sketch+fishe e interface will contribute to minimize the HCI cost and keep the consistency of thinking in visual analysis, thus enhancing analysis efficiency.

Original languageEnglish
Title of host publication2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings
EditorsMin Chen, David Ebert, Chris North
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages265-266
Number of pages2
ISBN (Electronic)9781479962273
DOIs
StatePublished - 13 Feb 2015
Event2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Paris, France
Duration: 9 Oct 201414 Oct 2014

Publication series

Name2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings

Conference

Conference2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014
Country/TerritoryFrance
CityParis
Period9/10/1414/10/14

Keywords

  • fisheye
  • human-computer interaction
  • sketch
  • Time-series visualization
  • visual analytics

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