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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.

Faculty Members

Accessible Accordion

Areas of Expertise

Societal Impact

Results will appear in alphabetical order.
Groups & Labs »
 
Centers & Initiatives »


Portrait of Tim Althoff

Tim Althoff

Faculty


Portrait of Richard Anderson

Richard Anderson

Emeritus Faculty


Portrait of Cecilia Aragon

Cecilia Aragon

Adjunct Faculty


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Aleksandr Aravkin

Adjunct Faculty


Portrait of Leilani Battle

Leilani Battle

Faculty


Portrait of Gilbert Bernstein

Gilbert Bernstein

Faculty


Portrait of Alan Borning

Alan Borning

Emeritus Faculty


Portrait of Lauren Bricker

Lauren Bricker

Faculty


Portrait of Bingni Brunton

Bingni Brunton

Adjunct Faculty


Portrait of Maya Cakmak

Maya Cakmak

Faculty


Portrait of Aylin Caliskan

Aylin Caliskan

Adjunct Faculty


Portrait of Ryan Calo

Ryan Calo

Adjunct Faculty


Portrait of Brian Curless

Brian Curless

Faculty


Portrait of Anind Dey

Anind Dey

Adjunct Faculty


Portrait of Michael Ernst

Michael Ernst

Faculty


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Leah Findlater

Adjunct Faculty


Portrait of James Fogarty

James Fogarty

Faculty


Portrait of Batya Friedman

Batya Friedman

Adjunct Faculty


Portrait of Jon Froehlich

Jon E. Froehlich

Faculty


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Elba Garza

Faculty


Portrait of Shyam Gollakota

Shyam Gollakota

Faculty


Portrait of Matthew Golub

Matthew Golub

Faculty


Portrait of Dan Grossman

Dan Grossman

Faculty


Portrait of Jeff Heer

Jeffrey Heer

Faculty


Portrait of Kurtis Heimerl

Kurtis Heimerl

Faculty


Portrait of Bruce Hemingway

Bruce Hemingway

Emeritus Faculty


Portrait of Benjamin Mako Hill

Benjamin Mako Hill

Adjunct Faculty


Portrait of Bill Howe

Bill Howe

Adjunct Faculty


Portrait of Justin Hsia

Justin Hsia

Faculty


Portrait of Gary Hsieh

Gary Hsieh

Adjunct Faculty


Portrait of Ira Kemelmacher-Shlizerman

Ira Kemelmacher-Shlizerman

Faculty


Portrait of Julie Kientz

Julie Kientz

Adjunct Faculty


Portrait of Amy Ko

Amy J. Ko

Adjunct Faculty


Portrait of Yoshi Kohno

Yoshi Kohno

Faculty


Portrait of Richard Ladner

Richard Ladner

Emeritus Faculty


Portrait of Kevin Lin

Kevin Lin

Faculty


Portrait of Ryan Maas

Ryan Maas

Faculty


Portrait of Jen Mankoff

Jen Mankoff

Faculty


Portrait of Tanu Mitra

Tanu Mitra

Adjunct Faculty


Portrait of Barbara Mones

Barbara Mones

Faculty


Portrait of Miya Natsuhara

Miya Natsuhara

Faculty


Portrait of Shwetak Patel

Shwetak Patel

Faculty


Portrait of Nadya Peek

Nadya Peek

Adjunct Faculty


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Hal Perkins

Faculty


Portrait of Zoran Popović

Zoran Popović

Faculty


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Stuart Reges

Faculty


Portrait of Katharina Reinecke

Katharina Reinecke

Faculty


Portrait of Franziska Roesner

Franziska Roesner

Faculty


Portrait of Ariel Rokem

Ariel Rokem

Adjunct Faculty


Portrait of Daniela Rosner

Daniela Rosner

Adjunct Faculty


Portrait of Adrian Salguero

Adrian Salguero

Faculty


Portrait of Martin Saveski

Martin Saveski

Adjunct Faculty


Porrait of Hunter Schafer

Hunter Schafer

Faculty


Portrait of Adriana Schulz

Adriana Schulz

Faculty


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Steven Seitz

Faculty


Portrait of Chirag Shah

Chirag Shah

Adjunct Faculty


Portrait of Benjamin Shapiro

R. Benjamin Shapiro

Faculty


Portrait of Frederick Shic

Frederick Shic

Adjunct Faculty


Portrait of Sidd Srinivasa

Siddhartha (Sidd) Srinivasa

Faculty


Portrait of Kate Starbird

Kate Starbird

Adjunct Faculty

Highlights

UW News

A small sensor can help map a region’s riskiest bike routes


A person riding a bicycle on a roadway

Researchers in the Allen School’s UbiComp Lab created the ProxiCycle sensor system to get a handle on which routes are best — and worst — for bikes, finding a significant correlation between the sensor data and other indicators of cycling risk.



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Allen School News

Professor James Fogarty inducted into ACM SIGCHI Academy


Headshot of James Fogarty

The ACM Special Interest Group on Computer-Human Interaction recognized Fogarty’s leadership and contributions to human-computer interaction research including ubiquitous computing, interactive machine learning, accessibility and personal health informatics.



Learn more »

Oregon Public Broadcasting

People with motor impairments help develop robotic feeding assistant


A person seated in a wheelchair at a table controls a laptop with a mouthpiece as a robotic arm spears a piece of food with a fork on a side table

The lived experiences of people with disabilities are often ignored in the development of new technologies, but that’s not the case with the Allen School’s ADA project. Community researcher Jonathan Ko joined recent Ph.D. alum Amal Nanavati to discuss their collaboration.



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OSZAR »