Improved Indirect Virtual Objects Selection Methods for Cluttered Augmented Reality Environments on Mobile Devices
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APU143690" target="_blank" >RIV/00216305:26230/22:PU143690 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/12654/" target="_blank" >https://www.fit.vut.cz/research/publication/12654/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/HRI53351.2022.9889374" target="_blank" >10.1109/HRI53351.2022.9889374</a>
Alternative languages
Result language
angličtina
Original language name
Improved Indirect Virtual Objects Selection Methods for Cluttered Augmented Reality Environments on Mobile Devices
Original language description
The problem of selecting virtual objects within augmented reality on handheld devices has been tackled multiple times. However, evaluations were carried out on purely synthetic tasks with uniformly placed homogeneous objects, often located on a plane and with none or low occlusions. This paper presents two novel approaches to indirect object selection dealing with highly occluded objects with large spatial distribution variability and heterogeneous size and appearance. The methods are designed to enable long-term usage with a tablet-like device. One method is based on a spatially anchored hierarchy menu, and the other utilizes a crosshair and a side menu that shows candidate objects according to a custom-developed metric. The proposed approaches are compared with direct touch in the context of spatial visual programming of collaborative robots problem, on a realistic workplace and a common robotic task. The preliminary evaluation indicates that the main benefit of the proposed indirect methods could be their higher precision and higher selection confidence for the user.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/FV40052" target="_blank" >FV40052: Test-it-off: Robotic Offline Product Testing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction
ISBN
978-1-6654-0731-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
834-838
Publisher name
Association for Computing Machinery
Place of publication
Sapporo, Hokkaido
Event location
Sapporo
Event date
Mar 7, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000869793600112