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Pattern-Driven Navigation in 2D Multiscale Visual Spaces with Scalable Insets

View ORCID ProfileFritz Lekschas, View ORCID ProfileMichael Behrisch, View ORCID ProfileBenjami Bach, View ORCID ProfilePeter Kerpedjiev, View ORCID ProfileNils Gehlenborg, View ORCID ProfileHanspeter Pfister
doi: https://doi.org/10.1101/301036
Fritz Lekschas
1Harvard University
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Michael Behrisch
1Harvard University
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Benjami Bach
3University of Edinburgh
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Peter Kerpedjiev
2Harvard Medical School
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Nils Gehlenborg
2Harvard Medical School
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Hanspeter Pfister
1Harvard University
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Abstract

We present Scalable Insets, a technique for interactively exploring and navigating large numbers of annotated patterns in multiscale visual spaces such as gigapixel images, matrices, or maps. Exploration of many but sparsely-distributed patterns in multiscale visual spaces is challenging as visual representations change across zoom levels, context and navigational cues get lost upon zooming, and navigation is time consuming. Our technique visualizes annotated patterns too small to be identifiable at certain zoom levels using insets, i.e., magnified thumbnail views of the annotated pattern. Insets support users in searching, comparing, and contextualizing patterns, while reducing the amount of navigation needed. They are dynamically placed either within the viewport or along the boundary of the viewport to offer a compromise between locality and context preservation. Annotated patterns are interactively clustered by location and type. They are visually represented as an aggregated inset to provide scalable exploration within a single viewport. A controlled user study with 18 participants found improved performance in visual search (up to 45% faster) and comparison of pattern types (up to 32 percentage points more accurate) compared to a baseline technique. A second study with 6 experts in the field of genomics showed that Scalable Insets are easy to learn and effective in a biological data exploration scenario.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted April 15, 2018.
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Pattern-Driven Navigation in 2D Multiscale Visual Spaces with Scalable Insets
Fritz Lekschas, Michael Behrisch, Benjami Bach, Peter Kerpedjiev, Nils Gehlenborg, Hanspeter Pfister
bioRxiv 301036; doi: https://doi.org/10.1101/301036
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Pattern-Driven Navigation in 2D Multiscale Visual Spaces with Scalable Insets
Fritz Lekschas, Michael Behrisch, Benjami Bach, Peter Kerpedjiev, Nils Gehlenborg, Hanspeter Pfister
bioRxiv 301036; doi: https://doi.org/10.1101/301036

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