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Exploring legibility of augmented reality X-ray

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dc.contributor.author Ericson, Marc en
dc.contributor.author Santos, Marc Ericson C. en
dc.contributor.author Almeida, Igor de Souza en
dc.contributor.author Yamamoto, Goshiro en
dc.contributor.author Taketomi, Takafumi en
dc.contributor.author Sandor, Christian en
dc.contributor.author kato, Hirokazu en
dc.date.accessioned 2019-09-02T01:02:08Z en
dc.date.available 2019-09-02T01:02:08Z en
dc.date.issued 2015-10-05 en
dc.identifier.issn 1573-7721 en
dc.identifier.uri http://hdl.handle.net/10061/13370 en
dc.description.abstract Virtual objects can be visualized inside real objects using augmented reality (AR). This visualization is called AR X-ray because it gives the impression of seeing through the real object. In standard AR, virtual information is overlaid on top of the real world. To position a virtual object inside an object, AR X-ray requires partially occluding the virtual object with visually important regions of the real object. In effect, the virtual object becomes less legible compared to when it is completely unoccluded. Legibility is an important consideration for various applications of AR X-ray. In this research, we explored legibility in two implementations of AR X-ray, namely, edge-based and saliency-based. In our first experiment, we explored on the tolerable amounts of occlusion to comfortably distinguish small virtual objects. In our second experiment, we compared edge-based and saliency-based AR X-ray methods when visualizing virtual objects inside various real objects. Moreover, we benchmarked the legibility of these two methods against alpha blending. From our experiments, we observed that users have varied preferences for proper amounts of occlusion cues for both methods. The partial occlusions generated by the edge-based and saliency-based methods need to be adjusted depending on the lighting condition and the texture complexity of the occluding object. In most cases, users identify objects faster with saliency-based AR X-ray than with edge-based AR X-ray. Insights from this research can be directly applied to the development of AR X-ray applications. en
dc.language.iso en en
dc.publisher Springer Nature en
dc.rights Copyright © 2015, Springer Science Business Media New York ja
dc.subject Augmented reality en
dc.subject Augmented reality X-ray en
dc.subject Empirical study en
dc.subject Legibility en
dc.subject Visualization en
dc.title Exploring legibility of augmented reality X-ray en
dc.type.nii Journal Article en
dc.contributor.transcription ヤマモト, ゴウシロウ ja
dc.contributor.transcription タケトミ, タカフミ ja
dc.contributor.transcription カトウ, ヒロカズ ja
dc.contributor.alternative 山本, 豪志朗 ja
dc.contributor.alternative 武冨, 貴史 ja
dc.contributor.alternative 加藤, 博一 ja
dc.textversion author en
dc.identifier.abstracturl https://link.springer.com/article/10.1007/s11042-015-2954-1 en
dc.identifier.jtitle Multimedia Tools and Applications en
dc.identifier.volume 75 en
dc.identifier.issue 16 en
dc.identifier.spage 9563 en
dc.identifier.epage 9585 en
dc.relation.doi 10.1007/s11042-015-2954-1 en
dc.identifier.NAIST-ID 73296683 en
dc.identifier.NAIST-ID 73296261 en
dc.identifier.NAIST-ID 73292815 en

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