Topology-aware space distortion for structured visualization spaces

Author:

Wang Weihang1,Badam Sriram Karthik2,Elmqvist Niklas3ORCID

Affiliation:

1. University at Buffalo, Buffalo, NY, USA

2. Apple Inc., Cupertino, CA, USA

3. University of Maryland, College Park, MD, USA

Abstract

We propose topology-aware space distortion (TASD), a family of interactive layout techniques for non-linearly distorting geometric space based on user attention and on the structure of the visual representation. TASD seamlessly adapts the visual substrate of any visualization to give more screen real estate to important regions of the representation at the expense of less important regions. In this paper, we present a concrete TASD technique that we call ZoomHalo for interactively distorting a two-dimensional space based on a degree-of-interest (DOI) function defined for the space. Using this DOI function, ZoomHalo derives several areas of interest, computes the available space around each area in relation to other areas and the current viewport extents, and then dynamically expands (or shrinks) each area given user input. We use our prototype to evaluate the technique in two user studies, as well as showcase examples of TASD for node-link diagrams, word clouds, and geographical maps.

Funder

National Science Foundation

Publisher

SAGE Publications

Subject

Computer Vision and Pattern Recognition

Reference51 articles.

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