<div class="csl-bib-body">
<div class="csl-entry">Li, R., & Zhao, J. (2023). The Impact of Simulation Modes on Acquiring Spatial Knowledge through Augmented Reality Landmarks on Windshield. In <i>Proceedings of the 18th International Conference on Location Based Services</i> (pp. 6–11). https://doi.org/10.34726/5726</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/194736
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dc.identifier.uri
https://doi.org/10.34726/5726
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dc.description.abstract
Augmented Reality (AR) has emerged as a promising means to visualize landmarks for wayfinding or spatial learning. The work presented at the last symposium shows that displaying AR landmarks on windshield can be an effective way to support traveler’s spatial learning in autonomous vehicles, using simulation consisting of recorded real-life driving video and added AR landmarks in an experimental setup. As the previous experiment setup was completely online, this current study intends to investigate the ef-fects of different modes of simulation on the outcome of spatial learning. This study carries out two additional experiments, one of which is an in-person experiment using the same video-based simulation. The other experiment adopts a different simulation which is completely virtual using the head-mounted display. This study intends to compare the acquired spatial knowledge and eye-tracking measures through all three experimental setups and participant’s interactions. As these three experiments represent the com-monly used modes of driving simulation, an additional contribution of this study is to compare the effectiveness of different modes of simulations for experiments involving simulations of AR displays on windshield.
en
dc.language.iso
en
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Augmented Reality
en
dc.subject
Virtual Reality
en
dc.subject
Spatial knowledge
en
dc.subject
Landmarks
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dc.subject
autonomous vehicles
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dc.title
The Impact of Simulation Modes on Acquiring Spatial Knowledge through Augmented Reality Landmarks on Windshield
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.identifier.doi
10.34726/5726
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dc.contributor.affiliation
University at Albany, State University of New York, United States of America (the)
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dc.contributor.affiliation
Wageningen University & Research, Netherlands (the)
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dc.relation.doi
10.34726/5400
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dc.description.startpage
6
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dc.description.endpage
11
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dc.rights.holder
Authors
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings of the 18th International Conference on Location Based Services
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tuw.relation.ispartof
10.34726/5400
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tuw.researchTopic.id
I5
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tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E000 - Technische Universität Wien
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dc.identifier.libraryid
AC17203547
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dc.description.numberOfPages
6
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dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
tuw.event.name
18th International Conference on Location Based Services (LBS 2023)
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tuw.event.startdate
20-11-2023
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tuw.event.enddate
22-11-2023
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Ghent
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tuw.event.country
BE
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tuw.event.presenter
Li, Rui
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.openaccessfulltext
Open Access
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item.openairetype
conference paper
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item.fulltext
with Fulltext
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item.mimetype
application/pdf
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item.languageiso639-1
en
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item.grantfulltext
open
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item.cerifentitytype
Publications
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crisitem.author.dept
University at Albany, State University of New York