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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

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Security and Privacy Research Lab

The Security and Privacy Research Lab works on a variety of topics, ranging from studying and addressing security and privacy risks in existing technologies, to anticipating future risks in emerging technologies.

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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.


Allen School Faculty

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Associate Professor

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Centers & Initiatives

Computing for the Environment (CS4Env) at the University of Washington supports novel collaborations across the broad fields of environmental sciences and computer science & engineering. The initiative engages environmental scientists and engineers, computer scientists and engineers, and data scientists in using advanced technologies, methodologies and computing resources to accelerate research that addresses pressing societal challenges related to climate change, pollution, biodiversity and more.

The eScience Institute empowers researchers and students in all fields to answer fundamental questions through the use of large, complex, and noisy data. As the hub of data-intensive discovery on campus, we lead a community of innovators in the techniques, technologies, and best practices of data science and the fields that depend on them.

Highlights


UW News

Researchers in the Allen School’s Mobile Intelligence Lab developed VueBuds, the first system that incorporates tiny cameras in off-the-shelf wireless earbuds as a less-intrusive, more privacy-preserving alternative to smart glasses.

Allen School News

The ACM Special Interest Group on Computer-Human Interaction (SIGCHI) recently honored Froehlich (Ph.D., ‘11) for his work to improve pedestrian infrastructure across the globe and tackle a range of other accessibility challenges using AI and HCI.

Allen School News

The Association for Computing Machinery’s Special Interest Group on Computer Science Education recognized Ladner with the ACM SIGCSE Award for Outstanding Contribution to Computer Science Education for his work expanding access for students with disabilities.