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Kirsten Swearingen Medhurst is a usability analyst in the User Interface Group at Pelco Video Security Systems. Before joining Pelco, she worked with Uzanto Consulting, conducting user research to inform the redesign of eBay's information architecture. Kirsten graduated from UC Berkeley's School of Information Management and Systems (SIMS), and, after graduating, worked on a variety of research projects including: Flamenco (a system for using faceted metadata to browse large online image collections), the How Much Information Project (an attempt to quantify, in bytes, the amount of information produced every year worldwide), and HUBRIS (evaluating the user interfaces of online recommender systems). Kirsten spent 3 years as a consultant in Booz, Allen & Hamilton's Human Resources and Change Management Practice, serving clients such as the Alyeska Pipeline, the IRS, Farmers Home Administration, U.S. Navy and a classified government client. She has also provided independent consulting services to several Bay Area non-profit agencies and the City of Oakland.
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Yee, Ka-Ping, Swearingen, Kirsten, Li, Kevin, Hearst, Marti A. (2003): Faceted metadata for image search and browsing. In: Cockton, Gilbert, Korhonen, Panu (eds.) Proceedings of the ACM CHI 2003 Human Factors in Computing Systems Conference April 5-10, 2003, Ft. Lauderdale, Florida, USA. pp. 401-408.
Hearst, Marti A., Elliott, Ame, English, Jennifer, Sinha, Rashmi R., Swearingen, Kirsten, Yee, Ka-Ping (2002): Finding the flow in web site search. In Communications of the ACM, 45 (9) pp. 42-49. http://doi.acm.org/10.1145/567498.567525