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abstract

Eyebrowse: Selective and Public Web Activity Sharing

Published:27 February 2016Publication History

ABSTRACT

Browsing the Internet today is for the most part a private ex-perience, with the exception of a few websites. We explore the possibilities and design considerations around a system to make browsing the web a more social activity. In order to address this, we present a system called Eyebrowse that allows users to selectively share their web browsing activ-ity publicly and with friends, using a whitelist at the domain level. This opens up the capabilities to conduct discussions both in real-time and asynchronously around webpages that are designated by the user as a “public space”, much like public spaces in real life. Eyebrowse also allows users to find interesting content recommendations, collect personal, web-scale, and friend browsing analytics, and maintain a public persona around their browsing data.

References

  1. Jennifer Fernquist and Ed H. Chi. 2013. Perception and Understanding of Social Annotations in Web Search. In Proc. WWW. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Batya Friedman, Daniel C Howe, and Edward Felten. 2002. Informed consent in the Mozilla browser: implementing Value-Sensitive Design. In Proc. HICSS. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Jason I Hong and James A Landay. 2004. An architecture for privacy-sensitive ubiquitous computing. In Proc. MobiSys. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Chinmay Kulkarni and Ed Chi. 2013. All the News That's Fit to Read: A Study of Social Annotations for News Reading. In Proc. CHI. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Amy X. Zhang, Joshua Blum, and David Karger. 2016. Opportunities and Challenges Around a Tool for Social and Public Web Activity Tracking. In Proc. CSCW. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  • Published in

    cover image ACM Conferences
    CSCW '16 Companion: Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion
    February 2016
    549 pages
    ISBN:9781450339506
    DOI:10.1145/2818052

    Copyright © 2016 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: 27 February 2016

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