Skip to content

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 conceptual graphic showing a jumble of letters spread out around a more concentrated ball of letters

Tsvetshop

Tsvetshop researchers aim to develop practical solutions to natural language processing problems that combine sophisticated learning and modeling methods with insights into human languages and the people who speak them.

A collection of tokens displaying social media motifs such as thumbs up, smiley faces and hearts

Social Futures Lab

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


Allen School Faculty

Assistant Teaching Professor

Professor

Professor

Associate Professor


Centers & Initiatives

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

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.

Highlights


Allen School News

Multiple Allen School authors received Best Paper Awards or honorable mentions for their work on interactive systems that enable more flexible human-AI agent collaboration, an AI-based tool that helps screen-reader users make sense of geovisualizations, and more.

UW News

The web app, which was developed by researchers in the Allen School’s Makeability Lab, enables users in Seattle to map their ride based on factors such as bike lanes, speed limits, pavement quality, and more.

American Academy of Arts & Sciences

Professor Magda Balazinska was honored for her influential contributions in data management and data science, while Professor Shwetak Patel was recognized for his groundbreaking work applying computing to health and sustainability.