Name
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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Year | Venue | Field |
|---|---|---|
2018 | CHI Extended Abstracts | Fidelity,Data filtering,Computer science,Wearable computer,Filter (signal processing),Augmented reality,Human–computer interaction,Snapshot (computer storage),Multimedia |
DocType | ISBN | Citations |
Conference | 978-1-4503-5621-3 | 1 |
PageRank | References | Authors |
0.41 | 2 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alaeddin Nassani | 1 | 1 | 2.78 |
| Huidong Bai | 2 | 69 | 15.51 |
| Gun Lee | 3 | 543 | 56.29 |
| Mark Billinghurst | 4 | 5357 | 542.78 |
| Tobias Langlotz | 5 | 399 | 36.80 |
| Robert W. Lindeman | 6 | 739 | 108.93 |