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
chuang2019.jpg
Professor
Biosensory computing; climate informatics; information economics and policy
marti_hearst.jpg
Head of School; 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 Computer Science)
Data management, interactive or human-in-the-loop data analytics, information visualization, crowdsourcing, data science
DSC_0238.JPG
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

May 15, 2020

How might data displays support emotional, social, and embodied ways of knowing with bodily data?

Apr 1, 2020

This paper introduces "infrastructural speculations," an orientation towards speculation that aims to interrogate and ask questions about the broader lifeworld within which speculative artifacts sit, placing the lifeworld (rather than an individual artifact) at the center of a designer's concern. 

The Charisma Machine: The Life, Death, and Legacy of One Laptop per Child, by Morgan G. Ames
Nov 12, 2019

In The Charisma Machine, Morgan Ames chronicles the life and legacy of the One Laptop per Child project and explains why — despite its failures — the same utopian visions that inspired OLPC still motivate other projects trying to use technology to “disrupt” education and development.

May 8, 2019

This paper reviews HCI research on privacy and design to discuss how utilizing a broader range of design methods from HCI can help support “privacy by design” efforts.

Dec 15, 2018

What can machines know about the mind? This dissertation seeks to understand people’s beliefs about this question: how these beliefs affect and arise from interactions with digital sensors, from prior beliefs about the mind and the body; and how these beliefs may shape the design of technical systems in the future.

The purpose of this dissertation is twofold. First, it surfaces that the boundary between sensing bodies and sensing minds is unstable, deeply entangled with social context and beliefs about the body and mind. Second, it proposes the porousness of this boundary as a site for studying the role that biosensing devices will play in near future. As biosensors creep into smart watches, bands, and ingestibles, their ability to divine not just what these bodies do, but what they think and feel, presents an under-explored avenue for understanding and imagining how thesetechnologies will come to matter in the course of life.

Pages

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.

ebb-thumb-square.jpg

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.

ctsp_thumb_1.png
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.
brainwaves-thumb.jpg
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.
fb-expt-banner_0.jpeg
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.
chi2014.jpg
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.
chi2013.jpg
Eight I School faculty and students will be presenting their research at the upcoming CHI Conference in Paris, France.

Pages