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Human-computer interaction
research labs.
Find labs studying how people interact with computing systems. These listings bring together research interests, faculty profiles, and available publication references so you can explore different approaches to human-computer interaction.
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Read the methods as carefully as the topic. A group might emphasize design, building interactive systems, or studying people. Look for the populations and settings involved and ask what role a new researcher would take in a project.
Profiles appear here because their listed research keywords match this topic. Inclusion does not establish an open position. Check the official sources and any published application instructions before reaching out.
Prepare a research introduction ↗16 research-led lab profiles
Browse labs by their listed college affiliationAction Lab
Northeastern University, US
Dagmar Sternad · University Distinguished Professor
How do people learn to control their movements when the body and surrounding objects create complex dynamics? The Action Lab combines behavioral experiments with mathematical models of movement and nonlinear control. Researchers investigate single-joint and coordinated movements, manipulation tasks and locomotion, including experiments in virtual environments. Measurements of motion and force are complemented by muscle and brain electrical recordings. The work also studies older adults and people with neurological conditions such as Parkinson's disease, connecting movement coordination with questions about learning and impairment.
Independently curated · UnclaimedAlex Zhang Research Group
The University of Alabama
Alex Zhang · Associate Professor
Alex Zhang's faculty-led research profile covers Embedded Systems, and Human-Computer Interaction.
Independently curated · UnclaimedChenhao Tan Research Group
The University of ChicagoChenhao Tan · Associate Professor of Computer Science
How can AI explanations and interactions be designed so humans make better decisions with machine assistance? The Chicago Human + AI (CHAI) Lab builds algorithms to align AI explanations with human interpretation to improve human-AI decision making. The group analyzes large textual datasets and natural experiments to understand how language shapes human decisions, such as persuasion and bargaining. Researchers develop decision-focused summarization and delegation methods so AI highlights the most decision-relevant information for people. The lab explores few-shot learning from human explanations to enable people to efficiently improve large language models.
Independently curated · UnclaimedCollaborative Haptics and Robotics in Medicine (CHARM) Lab
Stanford University
Allison M. Okamura · Richard W. Weiland Professor of Engineering; Professor of Mechanical Engineering
How can a robot communicate through touch? Allison Okamura’s CHARM Lab designs the devices, models, and control methods that make physical interaction useful in robotics and medicine. Its projects connect wearable haptic garments, surgical teleoperation, soft robots, and training environments. Haptiknit explores knitted structures with distributed stiffness for wearable feedback; loop-closure grasping investigates how a robot can hold objects strongly and gently. Researchers combine mechanical design, fabrication, control, and studies of human interaction to understand both what a device does and how a person experiences it.
Independently curated · UnclaimedEmpower Lab
Dartmouth College
Elizabeth Murnane · Charles H. Gaut & Charles A. Norberg Assistant Professor of Engineering
How can interactive technology support health while reflecting the needs and experiences of people often underserved by existing tools? The Empower Lab develops digital therapeutics and behavioral interventions through human-centered design, with an emphasis on health equity. Researchers explore games, tangible objects, musical interfaces, immersive environments and socially assistive robots as forms for these technologies. Projects address mental health, women's health, mobility and pain, aging at home and childhood development. The work combines iterative design and prototyping with implementation, interviews, observation and user studies to develop and evaluate interactive tools.
Independently curated · UnclaimedHuman And Robot Partners (HARP) Lab
Carnegie Mellon University
Henny Admoni · Associate Professor, Robotics Institute
A helpful robot needs to understand the person beside it. Henny Admoni’s HARP Lab studies how robots infer human intentions, learn from human teachers, and collaborate in everyday tasks. Its projects investigate robots that ask for help when uncertain, models of what a human teacher believes, and shared control that blends human input with robot actions. Assistive robotics provides a practical setting for these questions, including interfaces for people with motor impairments. Selected publications examine transparent robot policies and the feedback preferences of power-wheelchair users controlling a robotic arm.
Independently curated · UnclaimedHuman-Technology Interaction Lab (HTIL)
The University of AlabamaChris S. Crawford · Associate Professor
The Human-Technology Interaction Lab (HTIL), led by Dr. Chris S. Crawford at The University of Alabama, studies brain-computer interfaces and human-robot interaction. The team combines neurophysiological sensing, software engineering, and robotics to explore how technology can respond to a person’s cognitive state. Projects include Brains and Blocks for creating neurofeedback applications, brain-controlled drone racing, EEG signal processing with bci.js, and NeuroBrush for interactive art. Collaborative research also explores RF sensing for sign language recognition. Computing education connects this work with hands-on learning about physiological interfaces.
Humanitarian Informatics Lab
George Mason UniversityHemant Purohit · Associate Professor of Information Sciences and Technology
During a crisis, useful information can be buried in a flood of online messages. Hemant Purohit develops human-centered AI systems for analyzing behavior and managing unstructured, multi-source data in real time. His Humanitarian Informatics Lab combines natural-language processing, semantic computing, and machine learning with social and cognitive theories. Applications include emergency preparedness and response, public safety, and cybersecurity. The research emphasizes human control and collaboration with intelligent systems, offering an intersection of data science, public services, and crisis informatics.
Independently curated · UnclaimedJeff Gray Research Group
The University of AlabamaJeff Gray · University Distinguished Professor
Jeff Gray's faculty-led research profile covers Computer Science Education, Engineering Education and Pedagogy, Human-Computer Interaction, and Software Engineering.
Kim Binsted Research Group
University of Hawai’i at Mānoa
Kim Binsted · Professor
A successful space mission depends on people functioning together as well as on its technology. Binsted’s research interests include artificial intelligence, human computer interfaces, and long duration human space exploration. Her HI-SEAS research has examined life in an isolated Mars analog habitat on Mauna Loa. Studies investigated crew dynamics, morale, stress, food, and performance during extended confinement. This work explores how crew selection and support can influence team functioning, connecting computing and human behavior with the practical challenges of sustained exploration far from Earth.
Pranay Joshi Lab
The University of AlabamaPRanay Joshi · Assistant Professor
An illustrative lab studying how people interpret AI uncertainty and how reliable systems support better decisions.
Independently curated · UnclaimedSayanton Dibbo Research Group
The University of AlabamaSayanton Dibbo · Assistant Professor
Sayanton Dibbo's faculty-led research profile covers Artificial Intelligence, Cyber Security, Data Privacy, and Generative AI & LLMs.
Independently curated · UnclaimedShwetak N. Patel Research Group
University of WashingtonShwetak N. Patel · Professor
How can ubiquitous sensors and embedded systems enable low-cost health and sustainability monitoring in homes and personal devices? The Ubicomp Lab develops sensing systems and low-power embedded platforms for energy, water, and mobile health monitoring, and novel interaction technologies. Researchers design algorithms in human-computer interaction and machine learning to infer occupancy, energy usage, and physiological signals from commodity sensors. The group prototypes sensor hardware and field-deploys systems for residential energy monitoring, mobile health sensing, and environmental sustainability studies. They translate research through startups and technology transfer targeting real-world sensing and health applications.
Stefanos Nikolaidis Research Group
University of Southern California
Stefanos Nikolaidis · Fluor Early Career Chair in Engineering and Associate Professor of Computer Science
How can robots behave robustly when interacting with people in unconstrained everyday environments? The ICAROS lab develops computational human-robot interaction algorithms and end-to-end robotic systems to assist users in complex, real-world tasks. The group builds automatic scenario generation methods to create diverse, realistic test scenarios that improve robotic robustness and evaluation. Researchers combine procedural content generation and quality diversity optimization with experimental deployments to enable robots to adapt through simulated and real-world experiences. The lab investigates end-to-end solutions that enable deployed robotic systems to act robustly when interacting with people in practical applications.
Independently curated · UnclaimedTu Le Research Group
The University of AlabamaTu Le · Assistant Professor
Tu Le's faculty-led research profile covers Cyber Security, Data Privacy, Generative AI & LLMs, and Human-Computer Interaction.
Independently curated · UnclaimedYuqi Zhou Research Group
The University of AlabamaYuqi Zhou · Assistant Professor
Yuqi Zhou's faculty-led research profile covers Distributed Systems, Human-Computer Interaction, Robotics, and Wearable Technologies.
Showing 1–16 of 16 labs