From desktops and laptops to phones and tablets to virtual reality, wearable devices, the Internet of Things, and robotics, technologies based on computing are all around us. The field of human-computer interaction (HCI) studies how we interact with these technologies, and how those technologies in turn shape our world. HCI researchers seek to improve how humans interact with technology, to understand the societal impact of technologies, and to invent new technologies that alter the way we perceive and navigate the world around us.

UChicago CS includes many researchers and lab groups that investigate these angles using interdisciplinary, user-centered, and physical-computing approaches. Faculty and students design more usable privacy and security tools, improve how users interact with robots, programming languages, and IoT devices, and make technologies more inclusive for marginalized and underserved populations. Other groups design wearable devices and user interfaces that augment human abilities and create more seamless integration between the virtual and natural environments.

Labs & Groups

CANON (Computing for Anyone) Lab

Diana Franklin
Researching innovations in computational thinking education with an emphasis on equity and inclusion for all underrepresented populations.

Human-Robot Interaction (HRI) Lab

Sarah Sebo
Developing robots that help people by engaging them in intelligent, intuitive, and purposeful social interactions.

SUPER (Security, Usability, & Privacy Education & Research) Group

Blase Ur
Focused on data-driven methods to improve online security and privacy and improving interaction for IoT and machine learning systems.

3DL

Rana Hanocka
A computer graphics collective at UChicago pursuing innovation at the intersection of 3D and Deep Learning.

Network Operations and Internet Security (NOISE) Lab

Nick Feamster
Develops data-driven systems that derive insights from network traffic and explores how network traffic can reveal insights into human behavior.

Amyoli Internet Research (AIR) Lab

Marshini Chetty
Working to make the Internet more trustworthy and inclusive, drawing on human-computer interaction, usable privacy and security, ubiquitous computing, and...

Human-Computer Integration Lab

Pedro Lopes
Engineering interactive devices that integrate directly with the user’s body as the natural succession to wearable interfaces.

Chicago Human + AI (CHAI) Lab

Chenhao Tan
Developing synergy between humans and artificial intelligence through a better understanding of human behavior and human interaction with AI.

AxLab – Actuated Experience Lab

Ken Nakagaki
Designing shape-changing and reconfigurable technologies that invite people to actively engage and interact with a computationally-enhanced physical world.

Related Faculty

Marshini Chetty

Associate Professor of Computer Science

Ravi Chugh

Associate Professor of Computer Science

Nick Feamster

Neubauer Professor of Computer Science

Diana Franklin

Associate Professor of Computer Science

Rana Hanocka

Assistant Professor of Computer Science
Alex Kale

Alex Kale

Assistant Professor of Computer Science, Data Science

Pedro Lopes

Associate Professor of Computer Science

Ken Nakagaki

Assistant Professor of Computer Science

Sarah Sebo

Assistant Professor of Computer Science

Chenhao Tan

Assistant Professor of Computer Science, Data Science

Blase Ur

Associate Professor of Computer Science

News & Events

Professor Andrew A. Chien on the Environmental Impacts of Technology

Feb 26, 2024

Assistant Professor Yanjing Li Awarded NSF CAREER Grant for Innovative Computer Architecture and Deep Learning Research

Feb 26, 2024

Prof. Rebecca Willett awarded the SIAG DATA Career prize

Feb 21, 2024

Argonne scientists use AI to identify new materials for carbon capture

Feb 19, 2024

Alumni Spotlight: Dixin Tang, Assistant Professor of Computer Science at UT Austin

Feb 05, 2024

NetMicroscope Uses AI to Improve Network Monitoring for a Better Internet Experience

Feb 01, 2024

NeurIPS 2023 Award-winning paper by DSI Faculty Bo Li, DecodingTrust, provides a comprehensive framework for assessing trustworthiness of GPT models

Feb 01, 2024

New research unites quantum engineering and artificial intelligence

Jan 29, 2024
Video

“Machine Learning Foundations Accelerate Innovation and Promote Trustworthiness” by Rebecca Willett

Jan 26, 2024
Video

Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao

Jan 23, 2024

Exploring 3D Paintbrush: An AI That Colors with Words

Jan 22, 2024

Group From UChicago CS To Present Four Papers at Most Prestigious International Quantum Conference

Jan 09, 2024
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