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View relations: an exploratory study on between-view meta-visualizations

  • Søren Knudsen
    ,
  • Sheelagh Carpendale
  • University of Copenhagen
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Publication milestones

  • Published - 2016

Publication status

Published - 2016

Publisher

Association for Computing Machinery, United States

Publication IDs

  • Scopus: 84997541822

Host publication title

Proceedings of the 9th Nordic Conference on Human-Computer Interaction

Abstract

In this paper, we explore the potential of using visual representations to support people in managing, organizing, and understanding relations between multiple visualization views. Multiple views can help people understand different facets of data and data processing, and are a crucial part of data analysis particularly when it is done collaboratively. Both the growing use of multiple views and the increasing display sizes have amplified the need to explore how to better help people to understand the relations between many views. To improve our understanding of how to visualize view relations, we invited visualization and interaction designers to critique and sketch representations of view relations. The participants provided design critiques, and sketched their own relation representations. Our findings expand the range and palette of ways of visually linking visualization views and suggest new directions for designing view relation representations to better support analysis with multiple views.

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Citations
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