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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 group of four students erect community broadband networking apparatus on a rooftop

Information and Communication Technology for Development (ICTD) Lab

The ICTD Lab explores how technology can improve the lives of underserved populations in low-income regions through research spanning HCI, systems, communication and data analytics.

Closeup of a person's finger illuminated in red by smartphone camera

UbiComp Lab

The Ubiquitous Computing (UbiComp) Lab develops innovative systems for health sensing, low-power sensing, energy sensing, activity recognition and novel user interface technology for real-world applications.


Faculty Members

Faculty


Centers & Initiatives

Global Innovation Exchange is the University of Washington’s
engineering and business institute for emerging and established
technology leaders. GIX partners with corporate, government and non-profit organizations to deliver transformational learning through graduate education, global experiences and professional development programs.

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 team co-led by professor emeritus Richard Ladner examined how people with visual and motor disabilities select, adapt and use mobile devices in their everyday lives. Since its publication in 2009, the findings have helped guide new innovations in mobile device accessibility.

WIRED

Professor Shyam Gollakota spoke to WIRED about his work with UW spinout Hearvana leveraging AI to enable people to go beyond noise canceling to customize their soundscape — including selectively amplifying sounds or voices they want to hear while minimizing ones they don’t.

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.