## Clusters, Trends, and Outliers : How Immersive Technologies Can Facilitate the Collaborative Analysis of Multidimensional Data

2018
##### Project
SMARTACT Teilprojekt 6: Smartmobility / SMARTACT 2 Teilprojekt 6
##### Publication type
Contribution to a conference collection
Published
##### Published in
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. - New York, NY : ACM Press, 2018. - 90. - ISBN 978-1-4503-5620-6
##### Abstract
Immersive technologies such as augmented reality devices are opening up a new design space for the visual analysis of data. This paper studies the potential of an augmented reality environment for the purpose of collaborative analysis of multidimensional, abstract data. We present ART, a collaborative analysis tool to visualize multidimensional data in augmented reality using an interactive, 3D parallel coordinates visualization. The visualization is anchored to a touch-sensitive tabletop, benefiting from well-established interaction techniques. The results of group-based, expert walkthroughs show that ART can facilitate immersion in the data, a fluid analysis process, and collaboration. Based on the results, we provide a set of guidelines and discuss future research areas to foster the development of immersive technologies as tools for the collaborative analysis of multidimensional data.
##### Subject (DDC)
004 Computer Science
##### Keywords
Immersive Analytics; augmented reality; 3D parallel coordinates; multi-touch table; collaboration
##### Conference
CHI '18 : CHI Conference on Human Factors in Computing Systems, Apr 21, 2018 - Apr 26, 2018, Montreal, Canada
##### Cite This
ISO 690BUTSCHER, Simon, Sebastian HUBENSCHMID, Jens MÜLLER, Johannes FUCHS, Harald REITERER, 2018. Clusters, Trends, and Outliers : How Immersive Technologies Can Facilitate the Collaborative Analysis of Multidimensional Data. CHI '18 : CHI Conference on Human Factors in Computing Systems. Montreal, Canada, Apr 21, 2018 - Apr 26, 2018. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. New York, NY:ACM Press, 90. ISBN 978-1-4503-5620-6. Available under: doi: 10.1145/3173574.3173664
BibTex
@inproceedings{Butscher2018Clust-43062,
year={2018},
doi={10.1145/3173574.3173664},
title={Clusters, Trends, and Outliers : How Immersive Technologies Can Facilitate the Collaborative Analysis of Multidimensional Data},
isbn={978-1-4503-5620-6},
publisher={ACM Press},
booktitle={Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems},
author={Butscher, Simon and Hubenschmid, Sebastian and Müller, Jens and Fuchs, Johannes and Reiterer, Harald},
note={Article Number: 90}
}

RDF
<rdf:RDF
xmlns:dcterms="http://purl.org/dc/terms/"
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:bibo="http://purl.org/ontology/bibo/"
xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
xmlns:foaf="http://xmlns.com/foaf/0.1/"
xmlns:void="http://rdfs.org/ns/void#"
xmlns:xsd="http://www.w3.org/2001/XMLSchema#" >
<dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
<dc:creator>Hubenschmid, Sebastian</dc:creator>
<dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-08-10T09:19:22Z</dc:date>
<dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
<dc:creator>Fuchs, Johannes</dc:creator>
<dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dc:language>eng</dc:language>
<dc:contributor>Reiterer, Harald</dc:contributor>
<dcterms:issued>2018</dcterms:issued>
<dc:contributor>Müller, Jens</dc:contributor>
<dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/43062/3/Butscher_2-18so9y121hyro6.pdf"/>
<bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/43062"/>
<dc:contributor>Butscher, Simon</dc:contributor>
<dc:contributor>Fuchs, Johannes</dc:contributor>
<dc:creator>Müller, Jens</dc:creator>
<dc:contributor>Hubenschmid, Sebastian</dc:contributor>
<dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/43062/3/Butscher_2-18so9y121hyro6.pdf"/>
<dc:creator>Butscher, Simon</dc:creator>
<dc:creator>Reiterer, Harald</dc:creator>
<dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-08-10T09:19:22Z</dcterms:available>
<dcterms:abstract xml:lang="eng">Immersive technologies such as augmented reality devices are opening up a new design space for the visual analysis of data. This paper studies the potential of an augmented reality environment for the purpose of collaborative analysis of multidimensional, abstract data. We present ART, a collaborative analysis tool to visualize multidimensional data in augmented reality using an interactive, 3D parallel coordinates visualization. The visualization is anchored to a touch-sensitive tabletop, benefiting from well-established interaction techniques. The results of group-based, expert walkthroughs show that ART can facilitate immersion in the data, a fluid analysis process, and collaboration. Based on the results, we provide a set of guidelines and discuss future research areas to foster the development of immersive technologies as tools for the collaborative analysis of multidimensional data.</dcterms:abstract>
<dcterms:title>Clusters, Trends, and Outliers : How Immersive Technologies Can Facilitate the Collaborative Analysis of Multidimensional Data</dcterms:title>
<dc:rights>terms-of-use</dc:rights>
<foaf:homepage rdf:resource="http://localhost:8080/"/>
</rdf:Description>
</rdf:RDF>

Yes