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Poster: Improve Push Notification on Smartwatches

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Published:16 June 2017Publication History

ABSTRACT

Receiving push notifications is one of the key features of smartwatches. In our recent measurement study involving 27 smartwatch users [1], we found that push notifications are used by more than 200 applications, dominated by instant messaging, emails, social media, etc. In this work, we propose a suite of methods to optimize the performance, energy efficiency, and usability of smartwatch push notifications, which have several salient features distinguishing them from regular notifications received on a smartphone: requiring heavy phonewatch cooperation, being delivered over short-range Bluetooth link, and incurring non-trivial energy consumption on watches with very limited battery capacity. Considering these factors, our proposed work focuses on four aspects as elaborated.

References

  1. LIU, X., CHEN, T., QIAN, F., GUO, Z., LIN, F. X., WANG, X., AND CHEN, K. Characterizing Smartwatch Usage in the Wild. In MobiSys (2017). Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Poster: Improve Push Notification on Smartwatches

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    • Published in

      cover image ACM Conferences
      MobiSys '17: Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services
      June 2017
      520 pages
      ISBN:9781450349284
      DOI:10.1145/3081333

      Copyright © 2017 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.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 16 June 2017

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      • poster

      Acceptance Rates

      MobiSys '17 Paper Acceptance Rate34of188submissions,18%Overall Acceptance Rate274of1,679submissions,16%

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