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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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Wildlab

The Wildlab explores how technology can be biased against people who are unlike those who created it — and to build systems that help designers, developers, and researchers better support the needs and perspectives of different people.

A person with long blond hair, with only mouth and chin visible, is lying on a blue quilted blanket on short green grass in dappled sunlight. The person is wearing a black sweatshirt and propped up on their elbows, viewing a smartphone held in their well-manicured hands.

Behavioral Data Science Group

The Behavioral Data Science Group leverages large-scale behavioral data to extract actionable insights about our lives, health and happiness by combining techniques from data science, social network analysis, and natural language processing.


Allen School Faculty

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Professor

Assistant Professor


Centers & Initiatives

Change is a cross-campus collaboration that explores the challenges of developing technology in the context of positive social change. It seeks to make connections between researchers, outside organizations, and the public to inspire the development of new capabilities aligned with the interests of those most in need.

The Tech Policy Lab is a unique, interdisciplinary collaboration at the University of Washington that aims to enhance technology policy through research, education, and thought leadership. Founded in 2013 by faculty from the Paul G. Allen School of Computer Science & Engineering, Information School, and School of Law, the Lab aims to bridge the gap between technologists and policymakers and to help generate wiser, more inclusive tech policy.

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.