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Human-Centered Computing

Our work in human-centered computing explores and enhances the ways in which people and communities engage with and experience technology. 

Our research considers the personal, educational, cultural, and ethical implications of innovation. Drawing upon techniques from human-computer interaction, learning sciences, sensing and more, we aim to maximize the potential benefits of technology while minimizing potential harms to individuals, groups and society.


Groups & Labs

A student wearing an Oculus headset motions toward a screen displaying a virtual character

UW Reality Lab

The UW Reality Lab advances the state of the art in virtual and augmented reality by developing new technologies and applications, educating the next generation of researchers and technologists, and supporting robust collaborations with industry.

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Social Futures Lab

Researchers in the Social Futures Lab are reimagining social and collaborative systems to empower people and improve society.


Faculty Members

Faculty

Faculty


Centers & Initiatives

LCI (pronounced “Lacey”) is a community of researchers, educators, students who are passionate researchers and practitioners of computing education. Members span the Allen School, Information School, College of Education, Department of Human-Centered Design & Engineering, Department of Communication and eScience Institute.

The interdisciplinary DUB group at the University of Washington advances research, collaboration and teaching related to the interaction between design, people, and technology.

Highlights


Allen School News

The fellowship will support Zhang’s work in sustainable ubiquitous computing, including the development of recyclable electronics and leveraging artificial intelligence to estimate carbon footprints and provide personalized health insights.

UW News

New research from UW researchers and the Toyota Research Institute, or TRI, explores how drivers balance driving and using touch screens while distracted. The results could help auto manufacturers design safer, more responsive touch screens and in-car interfaces.

UW News

AI trained on data from the entire internet won’t work equally well for people in different cultures. But when UW researchers fed AI agents data from a kitchen simulation game, they found that the AI absorbed cultural values from observing human behavior — similar to what children do.