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| HCI Group at Carnegie Mellon University | |
|---|---|
| Name | HCI Group at Carnegie Mellon University |
| Type | Research group |
| Location | Pittsburgh, Pennsylvania |
| Established | 1990s |
| Parent institution | Carnegie Mellon University |
HCI Group at Carnegie Mellon University is an interdisciplinary research group within Carnegie Mellon University that focuses on human–computer interaction, user experience, and interaction design, drawing on expertise from computer science, psychology, design, and robotics. The group engages with partners across academia, industry, and government to develop technologies and theories that shape interfaces, collaboration, and intelligent systems for diverse contexts.
The group traces intellectual roots to early collaborations among scholars at Carnegie Mellon University, influenced by work at MIT Media Lab, Stanford University, and University of Washington in the 1980s and 1990s, and by funding agencies such as the National Science Foundation, Defense Advanced Research Projects Agency, and Microsoft Research. Foundational figures connected to the group intersect with legacies from Alan Newell, Herbert A. Simon, Ben Shneiderman, Stuart Card, Jesse James Garrett, and initiatives at Pittsburgh Supercomputing Center and Apple Computer's human interface teams. Over time the group expanded through collaborations with centers like the Human-Computer Interaction Institute, the Robotics Institute, and departments including School of Computer Science (Carnegie Mellon University), reflecting influences from projects funded by Google Research, Amazon, and Intel.
Active research spans topics linking people and computation, including user-centered design, ubiquitous computing, accessibility, and explainable AI, connecting to work at IBM Research, Facebook AI Research, and OpenAI. Other strands explore augmented reality interfaces, tangible interaction, wearable computing, and social computing in dialogue with researchers at Microsoft Research Redmond, Adobe Research, NVIDIA Research, and Samsung Research. Studies on collaboration technologies, crowdsourcing, and civic technology resonate with scholarship at MIT Senseable City Lab, Harvard University, Yale University, and Stanford HCI Group. Methodological contributions draw on experimental psychology from University of California, Berkeley, cognitive science from Massachusetts Institute of Technology, and design methods from Rhode Island School of Design.
Faculty and leadership include principal investigators and professors affiliated with the Human-Computer Interaction Institute, the School of Computer Science (Carnegie Mellon University), and the College of Fine Arts (Carnegie Mellon University), with appointments overlapping with centers such as the Robotics Institute and the Heinz College. Leadership profiles reflect connections to awardees of the ACM SIGCHI Lifetime Research Award, MacArthur Fellowship recipients, and members of the National Academy of Engineering, while collaborating closely with visiting scholars from University of Cambridge, University of Oxford, ETH Zurich, and KTH Royal Institute of Technology.
The group contributes to graduate and undergraduate offerings in programs like the Master of Human-Computer Interaction, the Ph.D. in Human-Computer Interaction, and interdisciplinary certificates linked to the Carnegie Mellon School of Design and the Heinz College of Information Systems and Public Policy. Students form teams for capstone projects influenced by curriculum models at Stanford d.school, UC Berkeley School of Information, and Georgia Institute of Technology, and participate in internships with firms such as Google, Apple Inc., Microsoft, Facebook (Meta Platforms), and Amazon (company). Educational outcomes align with professional communities like ACM SIGCHI, IEEE, and Interaction Design Association.
The group maintains partnerships with corporate research labs including Microsoft Research, Google Research, IBM Research, Facebook AI Research, and NVIDIA Research, and engages in sponsored projects with DARPA, the National Institutes of Health, and private foundations like the Gordon and Betty Moore Foundation and the Bill & Melinda Gates Foundation. Collaborative projects connect to urban initiatives with the City of Pittsburgh, healthcare collaborations with UPMC, and transportation work linked to Walt Disney Imagineering and Ford Motor Company. International collaborations include ties with ETH Zurich, Max Planck Society, University of Tokyo, and Tsinghua University.
Research is supported by laboratories and makerspaces across campus, including studio spaces in the College of Fine Arts (Carnegie Mellon University), prototyping workshops linked to the Robotics Institute, and usability labs modeled after facilities at MIT Media Lab and Stanford HCI Group. Instrumentation includes eye-tracking suites comparable to setups at University of California, San Diego, motion-capture systems as at Georgia Tech, AR/VR testbeds echoing resources at Microsoft Research, and accessible computing labs inspired by University of Washington. Shared resources leverage partnerships with the Pittsburgh Supercomputing Center and cloud platforms from Amazon Web Services, Google Cloud Platform, and Microsoft Azure.
The group has contributed to influential systems and prototypes in areas such as interactive visualization, collaborative tools, assistive technologies, and explainable interfaces, building on traditions exemplified by projects at Xerox PARC, MIT Media Lab, Bell Labs, and PARC (company). Notable outputs include design patterns and toolkits that informed products from Apple Inc., Google LLC, and Microsoft Corporation, scholarly contributions published in venues like CHI Conference on Human Factors in Computing Systems, ACM Transactions on Computer-Human Interaction, and Proceedings of the ACM on Human-Computer Interaction, and open-source software shared with communities including GitHub and OpenAI. The group's work has been recognized by awards from ACM, IEEE Computer Society, and the National Science Foundation.
Category:Carnegie Mellon University Category:Human–computer interaction