Human-computer Interaction (HCI)

Related Faculty

Morgan G. Ames
Assistant Professor of Practice
Alumni (MIMS 2006)
Science and technology studies; computer-supported cooperative work and social computing; education; anthropology; youth technocultures; ideology and inequity; critical data science
Coye Cheshire
Professor
Trust, social exchange, social psychology, and information exchange
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Professor
Biosensory computing; climate informatics; information economics and policy
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Interim Dean; Professor
Human-computer interaction, information visualization, computational linguistics, search and information retrieval, improving MOOCs and online education
Photo of Aditya Parameswaran
Associate Professor (I School and EECS)
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

The face of Barack Obama with tracking marks on his features

Prof. Hany Farid and graduate student Shruti Agarwal have created a new forensic approach that can use the subtle characteristics of how a person speaks to recognize whether a new video of that individual is real or a fake.

Shazeda Ahmed

Ph.D. student Shazeda Ahmed writes that foreign media has painted a dystopian portrait of China’s social credit system. The reality is both less coherent and more complex.

Richmond Wong

Instead of looking for design solutions to fix existing problems in privacy, I School researchers used speculative design fictions to explore the potential privacy issues that may arise in future uses and adoptions of emerging biosensing technologies.

graphic displaying passthoughts and earEEG

I School researchers have developed a custom-fit earpiece that that can capture “passthoughts” through brainwave signals from the ear canal, and for the first time demonstrated one-step three-factor authentication.

(photo courtesy of Nicola/Flickr https://flic.kr/p/kMJqhB)

An increasing number of apps let users share their heartrate with friends. Now a pair of researchers are exploring how sharing your biosignals can affect your interpersonal interactions.

Professor Marti Hearst

Hearst’s HCI research includes user interfaces for search, information visualization of text, web site usability, and innovation in education.

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The smart fabric could be used to create clothes with dynamically changing colors or patterns. But who would wear clothes that double as a computer display? And why? New research explores these questions.

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Is technology affecting our mental health? Can technology support free speech and still protect against harassment? How do we embed our biases in big data algorithms? The Center for Technology, Society & Policy wants to explore these questions and more.

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