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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.

A hand stacking square blocks in ascending heights like a graph

Interactive Data Lab

The Interactive Data Lab aims to enhance people’s ability to understand and communicate data through the design of new interactive systems for data visualization and analysis.


Allen School Faculty

Professor

Associate Teaching Professor

Assistant Teaching Professor


Centers & Initiatives

The Community-Engaged Computing Initiative (CECI) is a joint initiative to support community-centered scholarship and research within the broad computing and information field. Co-led by the Paul G. Allen School of Computer Science & Engineering, the Department of Human Centered Design & Engineering, and the Information School, the initiative was launched in 2025 through a gift from Google. CECI supports projects that bring UW faculty and graduate students together with community partners to bring sustainable, equitable, and inclusive technology into real-world contexts.

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.

Highlights


HearingTracker

A technology known as semantic hearing developed in Allen School professor Shyam Gollakota’s lab could let users create acoustic bubbles, isolate chosen voices, and control individual sounds in their environment.

Fast Company

Allen School professor Jon Froehlich talks about how Project Sidewalk empowers communities by crowdsourcing data on pedestrian infrastructure, from curb ramps to broken pavement, to improve accessibility.

UW News

Professors David Kohlbrenner and Franziska Roesner (Ph.D., ‘14) of the Allen School’s Privacy & Security Research Lab found that browser agents are susceptible to cyberattacks by violating the same-origin policy, a cornerstone of modern web security that has safeguarded users for 30 years.