Publikation:

Challenges and Opportunities for Collaborative Immersive Analytics with Hybrid User Interfaces

Lade...
Vorschaubild

Dateien

Zagermann_2-1h6p3t6mu6kjh8.pdf
Zagermann_2-1h6p3t6mu6kjh8.pdfGröße: 7.9 MBDownloads: 71

Datum

2023

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Deutsche Forschungsgemeinschaft (DFG): 251654672

Projekt

SFB TRR 161 TP C 01 Quantitative Messung von Interaktion
Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). Piscataway, NJ: IEEE, 2023, pp. 191-195. ISBN 979-8-3503-2891-2. Available under: doi: 10.1109/ismar-adjunct60411.2023.00044

Zusammenfassung

Over the past years, we have seen an increase in the number of user studies involving mixed reality interfaces. As these environments usually exceed standardized user study settings that only measure time and error, we developed, designed, and evaluated a mixed- immersion evaluation framework called RELIVE. Its combination of in-situ and ex-situ analysis approaches allows for the holistic and malleable analysis and exploration of mixed reality user study data of an individual analyst in a step-by-step approach that we previously described as an asynchronous hybrid user interface. Yet, collaboration was coined as a key aspect for visual and immersive analytics – potentially allowing multiple analysts to synchronously explore mixed reality user study data from different but complemen- tary angles of evaluation using hybrid user interfaces. This leads to a variety of fundamental challenges and opportunities for research and design of hybrid user interfaces regarding e.g., allocation of tasks, the interplay between views, user representations, and collaborative coupling that are outlined in this position paper.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Konferenz

2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 16. Okt. 2023 - 20. Okt. 2023, Sydney, Australia
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690ZAGERMANN, Johannes, Sebastian HUBENSCHMID, Daniel I. FINK, Jonathan WIELAND, Harald REITERER, Tiare FEUCHTNER, 2023. Challenges and Opportunities for Collaborative Immersive Analytics with Hybrid User Interfaces. 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). Sydney, Australia, 16. Okt. 2023 - 20. Okt. 2023. In: 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). Piscataway, NJ: IEEE, 2023, pp. 191-195. ISBN 979-8-3503-2891-2. Available under: doi: 10.1109/ismar-adjunct60411.2023.00044
BibTex
@inproceedings{Zagermann2023-10-16Chall-68608,
  year={2023},
  doi={10.1109/ismar-adjunct60411.2023.00044},
  title={Challenges and Opportunities for Collaborative Immersive Analytics with Hybrid User Interfaces},
  isbn={979-8-3503-2891-2},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)},
  pages={191--195},
  author={Zagermann, Johannes and Hubenschmid, Sebastian and Fink, Daniel I. and Wieland, Jonathan and Reiterer, Harald and Feuchtner, Tiare}
}
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#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/68608">
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Wieland, Jonathan</dc:creator>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:issued>2023-10-16</dcterms:issued>
    <dc:creator>Fink, Daniel I.</dc:creator>
    <dc:contributor>Feuchtner, Tiare</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/68608"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-12-06T15:18:13Z</dc:date>
    <dc:creator>Hubenschmid, Sebastian</dc:creator>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:creator>Zagermann, Johannes</dc:creator>
    <dc:creator>Reiterer, Harald</dc:creator>
    <dcterms:abstract>Over the past years, we have seen an increase in the number of user studies involving mixed reality interfaces. As these environments usually exceed standardized user study settings that only measure time and error, we developed, designed, and evaluated a mixed- immersion evaluation framework called RELIVE. Its combination of in-situ and ex-situ analysis approaches allows for the holistic and malleable analysis and exploration of mixed reality user study data of an individual analyst in a step-by-step approach that we previously described as an asynchronous hybrid user interface. Yet, collaboration was coined as a key aspect for visual and immersive analytics – potentially allowing multiple analysts to synchronously explore mixed reality user study data from different but complemen- tary angles of evaluation using hybrid user interfaces. This leads to a variety of fundamental challenges and opportunities for research and design of hybrid user interfaces regarding e.g., allocation of tasks, the interplay between views, user representations, and collaborative coupling that are outlined in this position paper.</dcterms:abstract>
    <dc:contributor>Reiterer, Harald</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Feuchtner, Tiare</dc:creator>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/68608/4/Zagermann_2-1h6p3t6mu6kjh8.pdf"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/68608/4/Zagermann_2-1h6p3t6mu6kjh8.pdf"/>
    <dc:contributor>Fink, Daniel I.</dc:contributor>
    <dc:language>eng</dc:language>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-12-06T15:18:13Z</dcterms:available>
    <dcterms:title>Challenges and Opportunities for Collaborative Immersive Analytics with Hybrid User Interfaces</dcterms:title>
    <dc:contributor>Hubenschmid, Sebastian</dc:contributor>
    <dc:contributor>Wieland, Jonathan</dc:contributor>
    <dc:contributor>Zagermann, Johannes</dc:contributor>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen