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Interaction for Immersive Analytics
Technische Universität Dresden, Germany.
The Ohio State University, USA.
Technische Universität Dresden, Germany.
Microsoft Research, USA.
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2018 (English)In: Immersive Analytics / [ed] Kim Marriott, Falk Schreiber, Tim Dwyer, Karsten Klein, Nathalie Henry Riche, Takayuki Itoh, Wolfgang Stuerzlinger, and Bruce H. Thomas, Springer, 2018, p. 95-138Chapter in book (Other academic)
Abstract [en]

In this chapter, we briefly review the development of natural user interfaces and discuss their role in providing human-computer interaction that is immersive in various ways. Then we examine some opportunities for how these technologies might be used to better support data analysis tasks. Specifically, we review and suggest some interaction design guidelines for immersive analytics. We also review some hardware setups for data visualization that are already archetypal. Finally, we look at some emerging system designs that suggest future directions.

Place, publisher, year, edition, pages
Springer, 2018. p. 95-138
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11190
Keywords [en]
natural user interfaces, embodied interaction, post-WIMP interfaces, visual analytics, data visualization
National Category
Computer Sciences Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-78356DOI: 10.1007/978-3-030-01388-2_4ISI: 000852441500004Scopus ID: 2-s2.0-85055326192ISBN: 978-3-030-01387-5 (print)ISBN: 978-3-030-01388-2 (electronic)OAI: oai:DiVA.org:lnu-78356DiVA, id: diva2:1256692
Available from: 2018-10-17 Created: 2018-10-17 Last updated: 2023-01-03Bibliographically approved

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Kerren, Andreas

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Department of computer science and media technology (CM)
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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
  • html
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  • asciidoc
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