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Filtering Shared Social Data in AR

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Published:20 April 2018Publication History

ABSTRACT

We describe a method and a prototype implementation for filtering shared social data (e.g., 360 video) in a wearable Augmented Reality (e.g., HoloLens) application. The data filtering is based on user-viewer relationships. For example, when sharing a 360 video, if the user has an intimate relationship with the viewer, then full fidelity (i.e. the 360 video) of the user's environment is visible. But if the two are strangers then only a snapshot image is shared. By varying the fidelity of the shared content, the viewer is able to focus more on the data shared by their close relations and differentiate this from other content. Also, the approach enables the sharing-user to have more control over the fidelity of the content shared with their contacts for privacy.

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References

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  1. Filtering Shared Social Data in AR

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    • Published in

      cover image ACM Conferences
      CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
      April 2018
      3155 pages
      ISBN:9781450356213
      DOI:10.1145/3170427

      Copyright © 2018 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: 20 April 2018

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      Acceptance Rates

      CHI EA '18 Paper Acceptance Rate1,208of3,955submissions,31%Overall Acceptance Rate6,164of23,696submissions,26%

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