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
Animation Research Labs (ARL)
The interdisciplinary ARL advances the state of the art in animation through research, teaching, and computer-animated production.
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
Associate Teaching Professor
Professor
Assistant Professor
Assistant Teaching Professor
Centers & Initiatives
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.
The Institute for Medical Data Science (IMDS) is a joint effort among the Schools of Medicine and Public Health and the College of Engineering, including the Allen School to lead the development and implementation of cutting-edge AI and data science methods in medical data science. By harnessing the power of AI across diverse health determinants, IMDS aims to improve patient health, provider satisfaction, and healthcare operations, particularly in the Pacific Northwest region.
Highlights
UW News
AI models with trillions of parameters are too large to run on many smart devices, but accessing them in the cloud leads to multi-second delays. Micro language models developed by researchers in the Mobile Intelligence Lab bridge the gap and provide instant responses to users.
Allen School News
In the latest installment of a Q&A series exploring grand challenges in computing, professors Franziska Roesner and Sewoong Oh discuss how they and their colleagues aim to develop a safer, more secure and privacy-preserving future through technologies that better serve people and society.
UW News
Allen School Ph.D. student Yael Eiger and professor Franziska Roesner discuss their research examining people’s experiences with technology during and after incarceration and the broader impacts of technology used for policing and post-release monitoring.