Human-computer Interaction (HCI)

Related Faculty

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Professor
chuang@ischool.berkeley.edu
Focus: Bio-sensory computing; information economics and policy
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Professor
hearst@berkeley.edu
Focus: Human-computer interaction, information visualization, computational linguistics, search and information retrieval, improving MOOCs and online education
(510) 642-8016
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Associate Professor
kimiko@ischool.berkeley.edu
Focus: Human-computer interaction, tangible user interfaces
(415) 269-1513

Recent Publications

Diagram of a timeline of events for generating a recommendation for a sample learner
Mar 21, 2017

The path towards a more democratized learner success model for MOOCs has been hampered by a lack of capabilities to provide a personalized experienced to the varied demographics MOOCs aim to serve.  Primary obstacles to this end have been insufficient support of real-time learner data across platforms and a lack of maturity of recommendation models that accommodate the learning context and breadth and complexity of subject matter material in MOOCs. In this paper, we address both shortfalls with a framework for augmenting a MOOC platform with real-time logging and dynamic content presentation capabilities as well as a novel course-general recommendation model geared towards increasing learner navigational efficiency. We piloted this intervention in a portion of a live course as a proof-of-concept of the framework. The necessary augmentation of platform functionality was all made without changes to the open-edX codebase, our target platform, and instead only requires access to modify course content via an instructor role account.

The organization of the paper begins with related work, followed by technical details on augmentation of the platform’s functionality, a description of the recommendation model and its back-tested prediction results, and finally an articulation of the design decisions that went into deploying the recommendation framework in a live course.

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Human-computer Interaction (HCI) news

New headsets use a single sensor resting against the forehead. (<a href="http://flic.kr/p/6abfCp">photo by Cory Doctorow</a>)
Instead of typing your password, in the future you may only have to think your password. A new School of Information study explores the feasibility of brainwave-based computer authentication as a substitute for passwords.
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How can students work together in the new generation of online courses? And how can online systems support and encourage peer learning? A new School of Information research project aims to answer these questions and more.
Jen King
A report on mobile privacy released this morning by the Federal Trade Commission incorporates a number of recommendations from Ph.D. student Jennifer King. King is a fourth-year Ph.D. student in the School of Information, where she studies online privacy and how people make their privacy decisions.
Jennifer King
Ph.D. student Jen King presents to the Federal Trade Commission at a day-long workshop on advertising and privacy disclosures in online and mobile media May 30 in Washington, D.C.
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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