<div class="csl-bib-body">
<div class="csl-entry">Boffi, P., Kouyoumdjian, A., Waldner, M., Lanzi, P. L., & Viola, I. (2024). BaggingHook: Selecting Moving Targets by Pruning Distractors Away for Intention-Prediction Heuristics in Dense 3D Environments. In <i>2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)</i> (pp. 913–923). https://doi.org/10.1109/VR58804.2024.00110</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/197699
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dc.description.abstract
Selecting targets in dense, dynamic 3D environments presents a significant challenge. In this study, we introduce two novel selection techniques based on distractor pruning to assist users in selecting targets moving unpredictably: BaggingHook and AutoBaggingHook. Both are built upon the Hook intention-prediction heuristic, which continuously measures the distance between the user's cursor and each object to compute per-object scores and estimate the intended target. Our techniques reduce the number of targets in the environment, making heuristic convergence potentially faster. Once pruned away, distractors are also made semi-transparent to reduce occlusion and the overall difficulty of the task. However, their motion is not altered, so that users can still perceive the dynamics of the environment. We designed two pruning approaches: BaggingHook lets users manually prune distractors away, while AutoBaggingHook uses automated, score-based pruning. We conducted a user study in a virtual reality setting inspired by molecular dynamics simulations, featuring crowded scenes of objects moving fast and unpredictably, in 3D. We compared both proposed techniques to the Hook baseline under more challenging circumstances than it had previously been tested. Our results show that AutoBaggingHook was the fastest, and did not lead to higher error rates. BaggingHook, on the other hand, was preferred by the majority of participants, due to the greater degree of control it provides to users, leading some to see entertainment value in its use. This work shows the potential benefits of varying the types of inputs used in intention-prediction heuristics, not just to improve performance, but also to reduce occlusion, overall task load, and improve user experience.
en
dc.language.iso
en
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dc.subject
Algorithms
en
dc.subject
AR/VR/Immersive
en
dc.subject
Human-Subjects Qualitative Studies
en
dc.subject
Human-Subjects Quantitative Studies
en
dc.subject
Interaction Design
en
dc.subject
Mobile
en
dc.subject
Specialized Input/Display Hardware
en
dc.title
BaggingHook: Selecting Moving Targets by Pruning Distractors Away for Intention-Prediction Heuristics in Dense 3D Environments
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
University of Milano-Bicocca, Italy
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dc.contributor.affiliation
King Abdullah University of Science and Technology, Saudi Arabia
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dc.contributor.affiliation
Politecnico di Milano
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dc.contributor.affiliation
King Abdullah University of Science and Technology, Saudi Arabia
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dc.relation.isbn
9798350374025
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dc.description.startpage
913
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dc.description.endpage
923
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)
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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
E193-02 - Forschungsbereich Computer Graphics
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tuw.publisher.doi
10.1109/VR58804.2024.00110
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dc.description.numberOfPages
11
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tuw.author.orcid
0000-0003-4579-2606
-
tuw.author.orcid
0009-0005-0915-369X
-
tuw.author.orcid
0000-0003-1387-5132
-
tuw.author.orcid
0000-0002-1933-7717
-
tuw.event.name
2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)
en
tuw.event.startdate
16-03-2024
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tuw.event.enddate
21-03-2024
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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
Orlando, FL
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tuw.event.country
US
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tuw.event.presenter
Kouyoumdjian, Alexandre
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.value
100
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item.fulltext
no Fulltext
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item.grantfulltext
none
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.languageiso639-1
en
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item.openairetype
conference paper
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item.cerifentitytype
Publications
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crisitem.author.dept
University of Milano-Bicocca
-
crisitem.author.dept
King Abdullah University of Science and Technology
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crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
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crisitem.author.dept
Politecnico di Milano
-
crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
-
crisitem.author.orcid
0000-0003-4579-2606
-
crisitem.author.orcid
0009-0005-0915-369X
-
crisitem.author.orcid
0000-0003-1387-5132
-
crisitem.author.orcid
0000-0002-1933-7717
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology