Abstract
As Augmented Reality (AR) ties closely to the physical world, its users looking at overlapped scenes are likely to be in the vicinity of each other, which naturally enables the collaboration and interaction among them. In this paper, we propose CARS (Collaborative Augmented Reality for Socialization), a framework that leverages the social nature of human beings to improve the user-perceived Quality of Experience (QoE) for AR, especially the end-To-end latency. CARS takes advantage of the unique feature of AR to support intelligent sharing of information between nearby users when it is feasible. It brings various benefits at the user, application and system levels, e.g., reduction of end-To-end latency and reuse of networking and computation resources. We demonstrate the efficacy of CARS through a preliminary evaluation based on a prototype implementation.
Original language | English (US) |
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Title of host publication | HotMobile 2018 - Proceedings of the 19th International Workshop on Mobile Computing Systems and Applications |
Publisher | Association for Computing Machinery, Inc |
Pages | 25-30 |
Number of pages | 6 |
ISBN (Electronic) | 9781450356305 |
DOIs | |
State | Published - Feb 12 2018 |
Externally published | Yes |
Event | 19th International Workshop on Mobile Computing Systems and Applications, HotMobile 2018 - Tempe, United States Duration: Feb 12 2018 → Feb 13 2018 |
Publication series
Name | HotMobile 2018 - Proceedings of the 19th International Workshop on Mobile Computing Systems and Applications |
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Volume | 2018-February |
Conference
Conference | 19th International Workshop on Mobile Computing Systems and Applications, HotMobile 2018 |
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Country/Territory | United States |
City | Tempe |
Period | 2/12/18 → 2/13/18 |
Bibliographical note
Publisher Copyright:© 2018 Association for Computing Machinery.
Keywords
- Augmented reality
- Cloud offloading
- Collaborative augmented reality
- Device to device communication