On the precision of third person perspective augmented reality for target designation tasks

The availability of powerful consumer-level smart devices and off-the-shelf software frameworks has tremendously popularized augmented reality (AR) applications. However, since the built-in cameras typically have rather limited field of view, it is usually preferable to position AR tools built upon...

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Vydáno v:	Multimedia tools and applications Ročník 76; číslo 14; s. 15279 - 15296
Hlavní autoři:	Liu, Fei, Seipel, Stefan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.07.2017 Springer Nature B.V
Témata:	Augmented reality Computer Communication Networks Computer Science Computerized Image Processing Data Structures and Information Theory Datoriserad bildbehandling Experiment Field of view Hållbar stadsutveckling Intelligent industri Intelligent Industry Multimedia Information Systems Precision study Special Purpose and Application-Based Systems Sustainable Urban Development Target designation Third person perspective Transformations Target designation Third person perspective Precision study Experiment Augmented reality
ISSN:	1380-7501, 1573-7721, 1573-7721
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Abstract	The availability of powerful consumer-level smart devices and off-the-shelf software frameworks has tremendously popularized augmented reality (AR) applications. However, since the built-in cameras typically have rather limited field of view, it is usually preferable to position AR tools built upon these devices at a distance when large objects need to be tracked for augmentation. This arrangement makes it difficult or even impossible to physically interact with the augmented object. One solution is to adopt third person perspective (TPP) with which the smart device shows in real time the object to be interacted with, the AR information and the user herself, all captured by a remote camera. Through mental transformation between the user-centric coordinate space and the coordinate system of the remote camera, the user can directly interact with objects in the real world. To evaluate user performance under this cognitively demanding situation, we developed such an experimental TPP AR system and conducted experiments which required subjects to make markings on a whiteboard according to virtual marks displayed by the AR system. The same markings were also made manually with a ruler. We measured the precision of the markings as well as the time to accomplish the task. Our results show that although the AR approach was on average around half a centimeter less precise than the manual measurement, it was approximately three times as fast as the manual counterpart. Additionally, we also found that subjects could quickly adapt to the mental transformation between the two coordinate systems.
AbstractList	The availability of powerful consumer-level smart devices and off-the-shelf software frameworks has tremendously popularized augmented reality (AR) applications. However, since the built-in cameras typically have rather limited field of view, it is usually preferable to position AR tools built upon these devices at a distance when large objects need to be tracked for augmentation. This arrangement makes it difficult or even impossible to physically interact with the augmented object. One solution is to adopt third person perspective (TPP) with which the smart device shows in real time the object to be interacted with, the AR information and the user herself, all captured by a remote camera. Through mental transformation between the user-centric coordinate space and the coordinate system of the remote camera, the user can directly interact with objects in the real world. To evaluate user performance under this cognitively demanding situation, we developed such an experimental TPP AR system and conducted experiments which required subjects to make markings on a whiteboard according to virtual marks displayed by the AR system. The same markings were also made manually with a ruler. We measured the precision of the markings as well as the time to accomplish the task. Our results show that although the AR approach was on average around half a centimeter less precise than the manual measurement, it was approximately three times as fast as the manual counterpart. Additionally, we also found that subjects could quickly adapt to the mental transformation between the two coordinate systems.
Author	Liu, Fei Seipel, Stefan
Author_xml	– sequence: 1 givenname: Fei surname: Liu fullname: Liu, Fei email: feiliu@hig.se organization: Department of Industrial Development, IT and Land Management, University of Gävle, Centre for Image Analysis, Uppsala University – sequence: 2 givenname: Stefan surname: Seipel fullname: Seipel, Stefan organization: Department of Industrial Development, IT and Land Management, University of Gävle, Centre for Image Analysis, Uppsala University
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Cites_doi	10.1109/JPROC.2013.2295873 10.1016/j.autcon.2014.05.005 10.1016/j.aei.2015.03.005 10.1016/j.autcon.2008.05.007 10.1007/s00779-012-0599-x 10.1007/s00371-013-0840-2 10.1186/2213-7459-1-9 10.1016/j.cag.2013.09.002 10.1162/pres.1997.6.4.355 10.1186/2213-7459-1-3 10.1186/2192-1962-2-18 10.1016/j.measurement.2014.07.009 10.1061/(ASCE)0887-3801(2007)21:5(303) 10.1016/j.cag.2012.10.001 10.1016/j.autcon.2012.12.017 10.1080/17489725.2014.946975 10.1016/j.autcon.2008.02.012 10.1016/j.pmcj.2014.08.010 10.1016/j.autcon.2012.09.002 10.1016/j.compedu.2013.09.022 10.1186/2213-7459-1-1 10.1109/VR.2014.6802045 10.1145/571985.572017 10.1007/978-3-642-87512-0_1 10.1145/1180495.1180502 10.1109/ISWC.2003.1241402 10.1109/ISMAR.2013.6671788 10.1109/ISMAR-AMH.2011.6093651 10.1109/ICCITechnol.2012.6285844 10.20870/IJVR.2010.9.2.2767 10.1186/2192-1962-2-1 10.1145/1836135.1836142 10.1145/2037373.2037406 10.1145/1851600.1851629 10.1145/1413634.1413660 10.1109/ISMAR.2012.6402560
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SubjectTerms	Augmented reality Computer Communication Networks Computer Science Computerized Image Processing Data Structures and Information Theory Datoriserad bildbehandling Experiment Field of view Hållbar stadsutveckling Intelligent industri Intelligent Industry Multimedia Information Systems Precision study Special Purpose and Application-Based Systems Sustainable Urban Development Target designation Third person perspective Transformations
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Title	On the precision of third person perspective augmented reality for target designation tasks
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