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

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

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The dataset could help answer whether it’s possible to accurately use consumer-grade devices to interpret attention level in a problem-solving test. The class hopes that other researchers will be able to repeat the experiment with even larger subject pools.
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Facebook is grappling with its impact on our social and emotional lives  —  and that’s a good thing. But it has to get the research right. Why Facebook did the experiment, and how to make it better.
Laura Devendorf makes a toy gun from hot glue and candy, following the computer's instructions.
Machines increasingly do humans’ jobs. But what happens when a human performs a machine’s tasks? A new project by doctoral student Laura Devendorf explores that role reversal, with unexpected insights into the creative process how people interact with machines.
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School of Information faculty and students are presenting their research on human-computer interaction in Toronto this week at the annual CHI conference.
Tapan Parikh
Parikh is transforming the world’s poorest areas by designing, evaluating, and deploying appropriate information systems that support sustainable economic development.
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Eight I School faculty and students will be presenting their research at the upcoming CHI Conference in Paris, France.
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.
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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.

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