Eyebrowse: real-time web activity sharing and visualization

Authors:
Max Van Kleek;Brennan Moore;Christina Xu;David R. Karger
Affiliations:
MIT CSAIL, Cambridge, MA, USA;MIT CSAIL, Cambridge, MA, USA;MIT Media Lab, Cambridge, MA, USA;MIT CSAIL, Cambridge, MA, USA
Venue:
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Year:
2010

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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.