Dynamic View Expansion for Improving Visual Search in Video See-through AR

dc.contributor.authorYano, Yukien_US
dc.contributor.authorOrlosky, Jasonen_US
dc.contributor.authorKiyokawa, Kiyoshien_US
dc.contributor.authorTakemura, Haruoen_US
dc.contributor.editorDirk Reiners and Daisuke Iwai and Frank Steinickeen_US
dc.date.accessioned2016-12-07T07:38:21Z
dc.date.available2016-12-07T07:38:21Z
dc.date.issued2016
dc.description.abstractThe extension or expansion of human vision is often accomplished with video see-through head mounted displays (HMDs) because of their clarity and ability to modulate background information. However, little is known about how we should control these augmentations, and continuous augmentation can have negative consequences such as distorted motion perception. To address these problems, we propose a dynamic view expansion system that modulates vergence, translation, or scale of video see-through cameras to give users on-demand peripheral vision enhancement. Unlike other methods that modify a user’s direct field of view, we take advantage of ultrawide fisheye lenses to provide access to peripheral information that would not otherwise be available. In a series of experiments testing our prototype in real world search, identification, and matching tasks, we test these expansion methods and evaluate both user performance and subjective measures such as fatigue and simulation sickness. Results show that less head movement is required with dynamic view expansion, but performance varies with application.en_US
dc.description.sectionheadersFor Your Eyes Only II
dc.description.seriesinformationICAT-EGVE 2016 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments
dc.identifier.doi10.2312/egve.20161435
dc.identifier.isbn978-3-03868-012-3
dc.identifier.issn1727-530X
dc.identifier.pages57-60
dc.identifier.urihttps://doi.org/10.2312/egve.20161435
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egve20161435
dc.publisherThe Eurographics Associationen_US
dc.subjectMultimedia Informaton Systems [H.5.1]
dc.subjectArtificial
dc.subjectaugmented
dc.subjectand virtual realities
dc.subject
dc.subjectUser Interfaces [H.5.2]
dc.subjectEvaluation / methodology
dc.titleDynamic View Expansion for Improving Visual Search in Video See-through ARen_US
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