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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.

Allen School Faculty

Accessible Accordion

Areas of Expertise

Societal Impact

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Portrait of Naomi Alterman

Naomi Alterman

Assistant Teaching Professor


Portrait of Tim Althoff

Tim Althoff

Associate Professor


Portrait of Leilani Battle

Leilani Battle

Associate Professor


Portrait of Gilbert Bernstein

Gilbert Bernstein

Assistant Professor


Portrait of Lauren Bricker

Lauren Bricker

Associate Teaching Professor


Portrait of Maya Cakmak

Maya Cakmak

Professor


Portrait of Brian Curless

Brian Curless

Professor


Portrait of Michael Ernst

Michael Ernst

Professor


Portrait of James Fogarty

James Fogarty

Professor


Portrait of Jon Froehlich

Jon E. Froehlich

Professor


Portrait of Elba Garza

Elba Garza

Assistant Teaching Professor


Portrait of Shyam Gollakota

Shyam Gollakota

Professor


Portrait of Matthew Golub

Matthew Golub

Assistant Professor


Portrait of Dan Grossman

Dan Grossman

Professor & Interim Director


Portrait of Jeff Heer

Jeffrey Heer

Professor


Portrait of Kurtis Heimerl

Kurtis Heimerl

Associate Professor


Portrait of Justin Hsia

Justin Hsia

Associate Teaching Professor


Portrait of Ira Kemelmacher-Shlizerman

Ira Kemelmacher-Shlizerman

Professor


Portrait of Kevin Lin

Kevin Lin

Associate Teaching Professor


Portrait of Jen Mankoff

Jen Mankoff

Professor


Portrait of Barbara Mones

Barbara Mones

Teaching Professor


Portrait of Shwetak Patel

Shwetak Patel

Professor


Portrait of Zoran Popović

Zoran Popović

Professor


Portrait of Katharina Reinecke

Katharina Reinecke

Professor


Portrait of Franziska Roesner

Franziska Roesner

Professor


Portrait of Adrian Salguero

Adrian Salguero

Assistant Teaching Professor


Portrait of faculty member Steve Seitz

Steven Seitz

Professor


Portrait of Benjamin Shapiro

R. Benjamin Shapiro

Associate Professor


Portrait of Nicholas Sharp

Nicholas Sharp

Associate Professor (Arriving January 2027)


Portrait of Sidd Srinivasa

Siddhartha (Sidd) Srinivasa

Professor


Portrait of Steve Tanimoto

Steve Tanimoto

Professor


Portrait of Zachary Tatlock

Zachary Tatlock

Professor


Portrait of Yulia Tsvetkov

Yulia Tsvetkov

Associate Professor


Portrait of Nirvan Tyagi

Nirvan Tyagi

Assistant Professor


Portrait of Matt Wang

Matt Wang

Assistant Teaching Professor


Portrait of James Weichert

James Weichert

Assistant Teaching Professor


Portrait of Amy Zhang

Amy Zhang

Associate Professor



Explore Adjunct & Emeritus Faculty »

Highlights

Allen School News

Professor Franziska Roesner receives SOUPS Impact Award


Man holding home model and software icons (temperature, sound, padlock, water, CCTV) controlling appliances smart home technology applications on smartphone screen.

In their 2017 paper, Roesner and her co-authors were among the first to investigate end-user security and privacy perspectives on then-emerging smart home technologies and recommend ways to help users make more informed security decisions.



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UW News

UW researchers respond to recent concerns over AI risk


The image zooms in on a smart phone laying on top of a laptop keyboard. The smartphone screen shows various AI apps including ChatGPT, Gemini, Claude, Perplexity, Meta AI, Copilot and Grok.

To help shed light over safety and security concerns with current AI systems, UW News spoke with researchers including professors Franziska Roesner and Noah A. Smith.



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Allen School News

Professors Katharina Reinecke, Noah A. Smith on transparent and beneficial AI


A small child wearing a hoodie and backpack holds hands with a robot humanoid.

In the first installment of a new Q&A series exploring grand challenges in computing, Reinecke and Smith discuss how they and their colleagues aim to answer the question, “How do we design AI in a way that is transparent and equally beneficial to all?”



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