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Holo-Box: Level-of-Detail glanceable interfaces for augmented reality

Daskalogrigorakis Grigorios, McNamara Ann, Mania Aikaterini

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URIhttp://purl.tuc.gr/dl/dias/B95E57A8-66A4-49F8-B4DB-C528BFA1FFAF-
Identifierhttps://doi.org/10.1145/3450618.3469175-
Identifierhttps://dl.acm.org/doi/10.1145/3450618.3469175-
Languageen-
Extent2 pagesen
TitleHolo-Box: Level-of-Detail glanceable interfaces for augmented realityen
CreatorDaskalogrigorakis Grigoriosen
CreatorΔασκαλογρηγορακης Γρηγοριοςel
CreatorMcNamara Annen
CreatorMania Aikaterinien
CreatorΜανια Αικατερινηel
PublisherAssociation for Computing Machinery (ACM)en
Content SummaryGlanceable interfaces are Augmented Reality (AR) User Interfaces (UIs) for information retrieval ”at a glance” relying on eye gaze for implicit input. While they provide rapid information retrieval, they often occlude a large part of the real-world. This is compounded as the amount of virtual information increases. Interacting with complex glanceable interfaces often results in unintentional eye gaze interaction and selections due to the Midas Touch problem. In this work, we present Holo-box, an innovative AR UI design that combines 2D compact glanceable interfaces with 3D virtual ”Holo-boxes”. We can utilize the glanceable 2D interface to provide compact information at a glance while using Holo-box for explicit input such as hand tracking activated when necessary, surpassing the Midas Touch problem and resulting in Level-of-Detail(LOD) for AR glanceable UIs. We test our proposed system inside a real-world machine shop to provide on-demand virtual information while minimizing unintentional real-world occlusion.en
Type of ItemΑφίσα σε Συνέδριοel
Type of ItemConference Posteren
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2023-06-26-
Date of Publication2021-
SubjectAugmented realityen
SubjectInteractive computer graphicsen
SubjectUser interfacesen
Bibliographic CitationG. Daskalogrigorakis, A. McNamara and K. Mania, “Holo-Box: Level-of-Detail glanceable interfaces for augmented reality,” presented at the ACM SIGGRAPH 2021 Posters, virtual event, 2021, doi: 10.1145/3450618.3469175.en

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