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Eyebrowse: real-time web activity sharing and visualization

Published: 10 April 2010 Publication History

Abstract

In this paper, we explore the potential for letting users automatically track and selectively publish their web browsing activities in real time on the Web. We developed a system, Eyebrowse, with three goals: first, to provide a means for individuals to better understand how they spend time on the web through visualizations and statistics; secondly, to foster social discovery and awareness through real-time web activity sharing; and finally, to build a large public corpus of web browsing trails using this method. We gathered user impressions of Eyebrowse, including perceived usefulness, feelings of self-exposure, and privacy concerns, for ascertaining ways to improve the system.

References

[1]
Z. Tufekci. Can you see me now? audience and disclosure regulation in online social network sites. Bulletin of Science Technology Society, 28(1):20--36, February 2008.
[2]
C. E. Polk. Webwatch: visualizing web page histories and social monitoring habits. In CHI, pages 393--394, New York, NY, USA, 2001. ACM.

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  • (2024)An Article a Day: Towards Personal Informatics for Healthy News ConsumptionExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650854(1-9)Online publication date: 11-May-2024
  • (2020)Predicting Users’ Revisitation Behaviour Based on Web Access Contextual Clusters2020 8th International Conference on Information and Communication Technology (ICoICT)10.1109/ICoICT49345.2020.9166179(1-6)Online publication date: Jun-2020
  • (2018)Personal Web Library: Organizing and Visualizing Web Browsing HistoryInternational Journal of Web Information Systems10.1108/IJWIS-09-2017-0065(00-00)Online publication date: 2-May-2018
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    cover image ACM Conferences
    CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing Systems
    April 2010
    2219 pages
    ISBN:9781605589305
    DOI:10.1145/1753846

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    Association for Computing Machinery

    New York, NY, United States

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    Published: 10 April 2010

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    1. life-tracking

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    CHI EA '10 Paper Acceptance Rate 350 of 1,346 submissions, 26%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    View all
    • (2024)An Article a Day: Towards Personal Informatics for Healthy News ConsumptionExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650854(1-9)Online publication date: 11-May-2024
    • (2020)Predicting Users’ Revisitation Behaviour Based on Web Access Contextual Clusters2020 8th International Conference on Information and Communication Technology (ICoICT)10.1109/ICoICT49345.2020.9166179(1-6)Online publication date: Jun-2020
    • (2018)Personal Web Library: Organizing and Visualizing Web Browsing HistoryInternational Journal of Web Information Systems10.1108/IJWIS-09-2017-0065(00-00)Online publication date: 2-May-2018
    • (2016)Enhancing cyber situation awareness for Non-Expert Users using visual analytics2016 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (CyberSA)10.1109/CyberSA.2016.7503278(1-8)Online publication date: Jun-2016
    • (2015)Comprehension and Learning of Social Goals Through VisualizationIEEE Transactions on Human-Machine Systems10.1109/THMS.2015.241908345:4(478-489)Online publication date: Aug-2015
    • (2012)The search dashboardProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/2207676.2208311(1785-1794)Online publication date: 5-May-2012

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