Visual Highlighting for Situated Brushing and Linking

Fuente: arXiv
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Main Authors: Doerr, Nina, Lee, Benjamin, Baricova, Katarina, Schmalstieg, Dieter, Sedlmair, Michael
Format: Preprint
Published: 2024
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author Doerr, Nina
Lee, Benjamin
Baricova, Katarina
Schmalstieg, Dieter
Sedlmair, Michael
author_facet Doerr, Nina
Lee, Benjamin
Baricova, Katarina
Schmalstieg, Dieter
Sedlmair, Michael
contents Brushing and linking is widely used for visual analytics in desktop environments. However, using this approach to link many data items between situated (e.g., a virtual screen with data) and embedded views (e.g., highlighted objects in the physical environment) is largely unexplored. To this end, we study the effectiveness of visual highlighting techniques in helping users identify and link physical referents to brushed data marks in a situated scatterplot. In an exploratory virtual reality user study (N=20), we evaluated four highlighting techniques under different physical layouts and tasks. We discuss the effectiveness of these techniques, as well as implications for the design of brushing and linking operations in situated analytics.
format Preprint
id arxiv_https___arxiv_org_abs_2403_15321
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Visual Highlighting for Situated Brushing and Linking
Doerr, Nina
Lee, Benjamin
Baricova, Katarina
Schmalstieg, Dieter
Sedlmair, Michael
Human-Computer Interaction
Brushing and linking is widely used for visual analytics in desktop environments. However, using this approach to link many data items between situated (e.g., a virtual screen with data) and embedded views (e.g., highlighted objects in the physical environment) is largely unexplored. To this end, we study the effectiveness of visual highlighting techniques in helping users identify and link physical referents to brushed data marks in a situated scatterplot. In an exploratory virtual reality user study (N=20), we evaluated four highlighting techniques under different physical layouts and tasks. We discuss the effectiveness of these techniques, as well as implications for the design of brushing and linking operations in situated analytics.
title Visual Highlighting for Situated Brushing and Linking
topic Human-Computer Interaction
url https://arxiv.org/abs/2403.15321