Skip to content

Interaction with the Physical World

Advances in low- and no-power sensing, communication and interaction technologies offer new possibilities for blending digital innovation with our physical environment. 

From gesture recognition that allows people to interact with objects in new ways, to low-power sensors that collect and transmit data about temperature, air quality, urban accessibility and more, our researchers are tapping into the potential of computation to transform how we experience the world around us.


Research Groups & Labs

Person's hand with a fabricated splint on the thumb

Make4all Group

Make4all Group creates solutions that empower people with disabilities to accomplish their goals, applying technologies such as 3D printing, knitting and other fabrication technologies to improve inclusion in and accessibility of our digital future.

Street scene overlaid with color-coded object recognition labels for depicted car, bicycle, vegetation, utility pole, and manhole cover

Makeability Lab

The Makeability Lab specializes in Human-Computer Interaction and applied machine learning for high-impact problems in accessibility, computational urban science, and augmented reality.


Allen School Faculty

Professor

Assistant Professor

Professor


Centers & Initiatives

The Transportation Data Equity Initiative (TDEI) aims to enhance the quality and accessibility of travel services by building open source data collection and vetting tools, transportation data digital infrastructure, and governance frameworks that enable public-private data sharing and interoperability. The TDEI is a project sponsored by The Complete Trip, an ITS4US Deployment Program.

Society + Technology is a cross-campus, cross-disciplinary initiative and community at the University of Washington that is dedicated to research, teaching and learning focused on the social, societal and justice dimensions of technology.

Highlights


Allen School News

Itani, who works with Allen School professor Shyam Gollakota in the Mobile Intelligence Lab, was recognized for exceptional early-career research advancing AI systems for “superhuman” hearing.

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.