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Can Shadows Create a Sense of Depth to Mid-air Image?

Published:14 December 2021Publication History

ABSTRACT

Shadows are an important factor in the perception of object position and shape. In this study, we investigated the effect of shadows on the perception of the shape of a mid-air image by projecting shadows of different shapes onto a mid-air image that is displayed in real space. Specifically, participants viewed one oval cylinder with a shadow and one oval cylinder without a shadow individually and were forced to choose which had the greater thickness in the depth direction. As a result, we found that shadow shapes possibly changed the perception of the thickness of the mid-air image.

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References

  1. Takahiro Kawabe. 2019. Shadow-Based Illusion of Depth and Transparency in Printed Images. ACM Trans. Appl. Percept. 16, 2, Article 10 (Aug. 2019), 12 pages. https://doi.org/10.1145/3342350Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Hanyuool Kim, Issei Takahashi, Hiroki Yamamoto, Satoshi Maekawa, and Takeshi Naemura. 2014. Mario: Mid-air augmented reality interaction with objects. Entertainment Computing 5, 4 (2014), 233–241.Google ScholarGoogle ScholarCross RefCross Ref

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  • Published in

    cover image ACM Conferences
    SA '21 Posters: SIGGRAPH Asia 2021 Posters
    December 2021
    87 pages
    ISBN:9781450386876
    DOI:10.1145/3476124
    • Editors:
    • Shuzo John Shiota,
    • Ayumi Kimura,
    • Wan-Chun Alex Ma

    Copyright © 2021 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 14 December 2021

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    Overall Acceptance Rate178of869submissions,20%
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