Gaze, Wall, and Racket : Combining Gaze and Hand-Controlled Plane for 3D Selection in Virtual Reality

dc.contributor.authorWagner, Uta
dc.contributor.authorAlbrecht, Matthias
dc.contributor.authorJacobsen, Andreas Asferg
dc.contributor.authorWang, Haopeng
dc.contributor.authorGellersen, Hans
dc.contributor.authorPfeuffer, Ken
dc.date.accessioned2025-10-21T10:30:27Z
dc.date.available2025-10-21T10:30:27Z
dc.date.issued2024-10-24
dc.description.abstractRaypointing, the status-quo pointing technique for virtual reality, is challenging with many occluded and overlapping objects. In this work, we investigate how eye-tracking input can assist the gestural ray pointing in the disambiguation of targets in densely populated scenes. We explore the concept of Gaze + Plane, where the intersection between the user's gaze and a hand-controlled plane facilitates 3D position specification. In particular, two techniques are investigated: Gaze&Wall, which employs an indirect plane positioned in depth using a hand ray, and Gaze&Racket, featuring a hand-held and rotatable plane. In a first experiment, we reveal the speed-error trade-offs between Gaze + Plane techniques. In a second study, we compared the best techniques to newly designed gesture-only techniques, finding that Gaze&Wall is less error-prone and significantly faster. Our research has relevance for spatial interaction, specifically on advanced techniques for complex 3D tasks.
dc.description.versionpublisheddeu
dc.identifier.doi10.1145/3698134
dc.identifier.ppn1938988582
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/74917
dc.language.isoeng
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.ddc004
dc.titleGaze, Wall, and Racket : Combining Gaze and Hand-Controlled Plane for 3D Selection in Virtual Realityeng
dc.typeJOURNAL_ARTICLE
dspace.entity.typePublication
kops.citation.bibtex
@article{Wagner2024-10-24Racke-74917,
  title={Gaze, Wall, and Racket : Combining Gaze and Hand-Controlled Plane for 3D Selection in Virtual Reality},
  year={2024},
  doi={10.1145/3698134},
  number={ISS},
  volume={8},
  journal={Proceedings of the ACM on Human-Computer Interaction},
  pages={189--213},
  author={Wagner, Uta and Albrecht, Matthias and Jacobsen, Andreas Asferg and Wang, Haopeng and Gellersen, Hans and Pfeuffer, Ken}
}
kops.citation.iso690WAGNER, Uta, Matthias ALBRECHT, Andreas Asferg JACOBSEN, Haopeng WANG, Hans GELLERSEN, Ken PFEUFFER, 2024. Gaze, Wall, and Racket : Combining Gaze and Hand-Controlled Plane for 3D Selection in Virtual Reality. In: Proceedings of the ACM on Human-Computer Interaction. ACM. 2024, 8(ISS), S. 189-213. eISSN 2573-0142. Verfügbar unter: doi: 10.1145/3698134deu
kops.citation.iso690WAGNER, Uta, Matthias ALBRECHT, Andreas Asferg JACOBSEN, Haopeng WANG, Hans GELLERSEN, Ken PFEUFFER, 2024. Gaze, Wall, and Racket : Combining Gaze and Hand-Controlled Plane for 3D Selection in Virtual Reality. In: Proceedings of the ACM on Human-Computer Interaction. ACM. 2024, 8(ISS), pp. 189-213. eISSN 2573-0142. Available under: doi: 10.1145/3698134eng
kops.citation.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/123456789/74917">
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/74917/1/Wagner_2-6dkardzzzhng6.pdf"/>
    <dc:contributor>Gellersen, Hans</dc:contributor>
    <dc:creator>Wang, Haopeng</dc:creator>
    <dc:rights>Attribution 4.0 International</dc:rights>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:issued>2024-10-24</dcterms:issued>
    <dc:contributor>Jacobsen, Andreas Asferg</dc:contributor>
    <dc:contributor>Pfeuffer, Ken</dc:contributor>
    <dc:contributor>Albrecht, Matthias</dc:contributor>
    <dc:creator>Jacobsen, Andreas Asferg</dc:creator>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/74917"/>
    <dc:creator>Wagner, Uta</dc:creator>
    <dc:creator>Albrecht, Matthias</dc:creator>
    <dc:creator>Pfeuffer, Ken</dc:creator>
    <dc:contributor>Wagner, Uta</dc:contributor>
    <dcterms:abstract>Raypointing, the status-quo pointing technique for virtual reality, is challenging with many occluded and overlapping objects. In this work, we investigate how eye-tracking input can assist the gestural ray pointing in the disambiguation of targets in densely populated scenes. We explore the concept of Gaze + Plane, where the intersection between the user's gaze and a hand-controlled plane facilitates 3D position specification. In particular, two techniques are investigated: Gaze&amp;Wall, which employs an indirect plane positioned in depth using a hand ray, and Gaze&amp;Racket, featuring a hand-held and rotatable plane. In a first experiment, we reveal the speed-error trade-offs between Gaze + Plane techniques. In a second study, we compared the best techniques to newly designed gesture-only techniques, finding that Gaze&amp;Wall is less error-prone and significantly faster. Our research has relevance for spatial interaction, specifically on advanced techniques for complex 3D tasks.</dcterms:abstract>
    <dc:creator>Gellersen, Hans</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/74917/1/Wagner_2-6dkardzzzhng6.pdf"/>
    <dcterms:title>Gaze, Wall, and Racket : Combining Gaze and Hand-Controlled Plane for 3D Selection in Virtual Reality</dcterms:title>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-10-21T10:30:27Z</dc:date>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-10-21T10:30:27Z</dcterms:available>
    <dc:contributor>Wang, Haopeng</dc:contributor>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
    <dc:language>eng</dc:language>
  </rdf:Description>
</rdf:RDF>
kops.description.openAccessopenaccesshybrid
kops.flag.isPeerReviewedtrue
kops.flag.knbibliographytrue
kops.identifier.nbnurn:nbn:de:bsz:352-2-6dkardzzzhng6
kops.sourcefieldProceedings of the ACM on Human-Computer Interaction. ACM. 2024, <b>8</b>(ISS), S. 189-213. eISSN 2573-0142. Verfügbar unter: doi: 10.1145/3698134deu
kops.sourcefield.plainProceedings of the ACM on Human-Computer Interaction. ACM. 2024, 8(ISS), S. 189-213. eISSN 2573-0142. Verfügbar unter: doi: 10.1145/3698134deu
kops.sourcefield.plainProceedings of the ACM on Human-Computer Interaction. ACM. 2024, 8(ISS), pp. 189-213. eISSN 2573-0142. Available under: doi: 10.1145/3698134eng
relation.isAuthorOfPublicationfeb260c6-1629-442d-a4ef-87bd788f3101
relation.isAuthorOfPublication.latestForDiscoveryfeb260c6-1629-442d-a4ef-87bd788f3101
source.bibliographicInfo.fromPage189
source.bibliographicInfo.issueISS
source.bibliographicInfo.toPage213
source.bibliographicInfo.volume8
source.identifier.eissn2573-0142
source.periodicalTitleProceedings of the ACM on Human-Computer Interaction
source.publisherACM

Dateien

Originalbündel

Gerade angezeigt 1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
Wagner_2-6dkardzzzhng6.pdf
Größe:
2.52 MB
Format:
Adobe Portable Document Format
Wagner_2-6dkardzzzhng6.pdf
Wagner_2-6dkardzzzhng6.pdfGröße: 2.52 MBDownloads: 84

Lizenzbündel

Gerade angezeigt 1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
license.txt
Größe:
3.96 KB
Format:
Item-specific license agreed upon to submission
Beschreibung:
license.txt
license.txtGröße: 3.96 KBDownloads: 0