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

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  • Søren Knudsen
  • Sheelagh Carpendale

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.

Original languageEnglish
Title of host publicationProceedings of the 9th Nordic Conference on Human-Computer Interaction
Number of pages10
PublisherAssociation for Computing Machinery
Publication date2016
Article number15
ISBN (Electronic)978-1-4503-4763-1
DOIs
Publication statusPublished - 2016
Event9th Nordic Conference on Human-Computer Interaction - Göteborg, Sweden
Duration: 23 Oct 201627 Oct 2016
Conference number: 9

Conference

Conference9th Nordic Conference on Human-Computer Interaction
Nummer9
LandSweden
ByGöteborg
Periode23/10/201627/10/2016

    Research areas

  • Meta-visualization, Multiple and coordinated views, Qualitative study, View relations, Visualization

ID: 176374133