Human-computer Interaction (HCI)

Related Faculty

Morgan G. Ames
Assistant Adjunct Professor
Alumni (MIMS 2006)
Science and technology studies; computer-supported cooperative work and social computing; education; anthropology; youth technocultures; ideology and inequity; critical data science
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Professor
Bio-sensory computing; brainwave authentication; information economics and policy
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Professor
Human-computer interaction, information visualization, computational linguistics, search and information retrieval, improving MOOCs and online education
Photo of Aditya Parameswaran
Assistant Professor (I School and Computer Science)
Data management, interactive or human-in-the-loop data analytics, information visualization, crowdsourcing, data science
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Associate Professor
Human-computer interaction, tangible user interfaces
Niloufar Salehi is an assistant professor at the School of Information at UC Berkeley..
Assistant Professor

Human-computer Interaction (HCI) news

Coye Cheshire <br />(Photo by <a href="http://bit.ly/GOgROu">Heather Ford</a>)
Professor Coye Cheshire analyzes how people decide who to trust, and how to design systems to help build trusting communities.
Marti Hearst
The future of search will include speech input, social searching, and natural language queries, according to I School professor Marti Hearst.
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Ph.D. students Megan Finn, Elisa Oreglia, Stuart Geiger, Christo Sims, and Bob Bell present their research on technology circulation in China, information dissemination for humanitarian relief efforts, online communities in physical space, gender and identity in digital youth culture, and African entrepreneurship, in at the annual meeting of the Society for Social Studies of Science.
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A new blog, “Ethnography Matters,” was launched this week by assistant professor Jenna Burrell and I School alumnae Heather Ford and Rachelle Annechino (MIMS ’11). The blog will focus on ethnography and technology, with practical advice for practicing ethnographers and other technology researchers.
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Recent studies show that Wikipedia is predominantly written by men. Now a team of I School researchers is looking under the surface of the gender gap, exploring differences in the type and size of the Wikipedia updates made by men and women.
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Although most Facebook users claim to be very uncomfortable with how third-party apps use their personal information, their actual behavior doesn’t reflect this concern, a new study by School of Information researchers has discovered.
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Ph.D. student Daniela Rosner is one of the organizers of this week’s Pervasive Computing conference, which also features a demonstration of a 2010 I School master’s final project.

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