Improving Search Time Performance for Locating Out-of-View Objects
dc.contributor.author | Gruenefeld, Uwe | |
dc.contributor.author | Prädel, Lars | |
dc.contributor.author | Heuten, Wilko | |
dc.contributor.editor | Alt, Florian | |
dc.contributor.editor | Bulling, Andreas | |
dc.contributor.editor | Döring, Tanja | |
dc.date.accessioned | 2019-08-22T04:36:37Z | |
dc.date.available | 2019-08-22T04:36:37Z | |
dc.date.issued | 2019 | |
dc.description.abstract | Locating virtual objects (e.g., holograms) in head-mounted Augmented Reality (AR) can be an exhausting and frustrating task. This is mostly due to the limited field of view of current AR devices, which amplify the problem of objects receding from view. In previous work, EyeSee360 was developed to address this problem by visualizing the locations of multiple out-of-view objects. However, on small field of view devices such as the Hololens, EyeSee360 adds a lot of visual clutter that may negatively affect user performance. In this work, we compare three variants of EyeSee360 with different levels of information (assistance) to evaluate in how far they add visual clutter and thereby negatively affect search time performance. Our results show that variants of EyeSee360 with less assistance result into faster search times. | en |
dc.description.uri | https://dl.acm.org/authorize?N681285 | |
dc.identifier.doi | 10.1145/3340764.3344443 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/24617 | |
dc.language.iso | en | |
dc.publisher | ACM | |
dc.relation.ispartof | Mensch und Computer 2019 - Tagungsband | |
dc.relation.ispartofseries | Mensch und Computer | |
dc.subject | Out-of-View | |
dc.subject | Off-Screen | |
dc.subject | Augmented Reality | |
dc.subject | EyeSee360 | |
dc.subject | User study | |
dc.title | Improving Search Time Performance for Locating Out-of-View Objects | en |
dc.type | Text/Conference Paper | |
gi.citation.publisherPlace | New York | |
gi.conference.date | 8.-11. September 2019 | |
gi.conference.location | Hamburg | |
gi.conference.sessiontitle | MCI: Short Paper (Poster) | |
gi.document.quality | digidoc |
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