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

(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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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.

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