Filtering shared social data in AR
Date
2018
Authors
Nassani, A.
Bai, H.
Lee, G.
Billinghurst, M.
Langlotz, T.
Lindeman, R.W.
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Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Conference on Human Factors in Computing Systems Proceedings, 2018, vol.2018-April, iss.LBW100
Statement of Responsibility
Conference Name
CHI Conference on Human Factors in Computing Systems (CHI) (21 Apr 2018 - 26 Apr 2018 : CANADA, Montreal)
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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Copyright 2018 The author(s).