Human-centered research collaborations start with us. The following interdisciplinary centers and research labs are affiliated with our HCII faculty.

 

Centers


Knowledge Accelerator logo, a K with an arrow pointing upward

Knowledge Accelerator

The Knowledge Accelerator is a new center at Carnegie Mellon University that is building tools to help people gather, stitch together, and make decisions on information spread across the internet in 10-100x less time than it takes today. Not only will these tools help people make better and more personalized decisions, but by capturing the work they do they can accelerate future users with similar interests instead of them having to start from scratch, creating a virtuous cycle of knowledge acceleration.

Details: Website

Contact: Niki Kittur

 

 

Labs


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4A (AI Accountability, Awareness, and Action) Lab

4A Lab aims to empower users of AI systems, particularly those who belong to marginalized communities or those users whose decisions impact marginalized communities, to make transparent, fair, and informed decisions in interaction with algorithmic systems.

Contact: Motahhare Eslami

HCII logo

Augmented Design Capability Studio

We use new technology, product design methods, interaction design, human-robot interaction, and mechatronic engineering to build tools and methods that allow designers to understand people better and to create more human-centered products.

Contact: Nik Martelaro

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Augmented Perception Lab

We aim to understand how users perceive and interact with digital information beyond the flat displays of PCs and smartphones. Our goal is to create and study enabling technologies and computational approaches that make Augmented Reality and Virtual Reality interfaces beneficial for users.

Details: Augmented Perception Lab

Contact: David Lindlbauer

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AXLE Lab

We develop technology solutions to support, enhance, understand, and celebrate Ability in its many forms. The research we conduct aims to improve the quality of human lives through the thoughtful application of technology and social interventions.

Details: AXLE Lab

Contact: Patrick Carrington

Bigham stands and rests elbow on a small, (vintage?) Apple computer on a table in the lab

Big Lab

We work to advance Human-AI Collaboration, mostly in (i) accessibility (esp. access technologies), (ii) crowdsourcing and human computation (esp. systems that combine AI and human intelligence together, and work to improve the worker experience), and (iii) dialog systems (esp. those that deeply integrate human computation and dialog together). This is the research lab of Jeffrey Bigham.

Details: Big Lab

Contact: Jeffrey Bigham

CHIMPS lab logo illustration of a monkey face. The text Computer Human Interaction: Mobility Privacy Security is below the face.

CHIMPS Lab

We do research in smartphone privacy, usable security, and AI bias and fairness, drawing on ideas and methods from human-computer interaction, machine learning, systems, and social psychology.

Details: CHIMPS Lab

Contact: Jason Hong

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CoALA Lab

Through partnerships with practitioners and community stakeholders, we create new technologies to complement and bring out the best of human ability in fundamentally human endeavors such as social, creative, or care-based work. We study how humans and AI systems can augment each other’s abilities (co-augmentation) and learn from each other (co-learning) to support more effective and responsible human-AI collaborations. We develop new methods that broaden who is able to participate in shaping the design and use of emerging technologies.

Details: CoALA Lab

Contact: Ken Holstein

connected experience lab logo, blue and orange triangles slightly overlapping

Connected Experience Lab

The CoEX lab addresses social, technical, and policy issues emerging around new forms of technology supported work, communication and creative collaboration.

Details: Connected Experience Lab

Contact: Laura Dabbish

 

DIG logo, illustration of a black CMU scotty dog digging

CMU Data Interaction Group (DIG)

Our group conducts research at the intersection of human-computer interaction, machine learning, data science, programming languages, and data management, with the mission of empowering everyone to analyze and communicate data with interactive systems.

Details: CMU DIG

Contacts: Adam Perer, Dominik Moritz

equipment in the first floor design lab of 407 S. Craig

d.form and d.stable Labs

We explore how people experience emerging and future technology, particularly human-AI interaction and human robot interaction. d.form has fabrication tools for building room sized prototypes including 3D printers, laser cutter, CNC machine, as well as crafting materials and tools. d.stable is where we simulate different environments such as a home, retail store, hospital, or hotel in order to evaluate possible futures.

Contacts: Jodi Forlizzi, John Zimmerman

DevLab logo, a hand holding up a wrench

Dev Lab

We develop new fabrication techniques for creating sensors and interactive devices, build digital tools that enable novices to make functional and usable objects, and study how people use and interact with technology.

Details: Dev Lab

Contact: Scott Hudson

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eHeart Lab

We study the transformative impact of interaction technologies, games, and storytelling platforms that aim to enhance personal expression and improve social dynamics.

Details: eHeart Lab

Contact: Geoff Kaufman

Future Interfaces Group logo, a hand and the bottom of the palm is a gear

Future Interfaces Group

We create new sensing and interface technologies that foster powerful and delightful interactions between humans and computers. These efforts often lie in emerging use modalities, such as smart environments, wearable computing, augmented reality, and gestural interfaces.

Details: Future Interfaces Group (FIG Lab)

Contact: Chris Harrison

Human-centered data lab text on a black background

Human-Centered Data Lab

The Human-Centered Data Lab's research focuses on using big data collected from educational systems to improve student learning and spans several areas: data mining, artificial intelligence, machine learning, intelligent tutoring systems, cognitive modeling, CS education, game development, and instructional design.

Details: Human-Centered Data Lab

Contact: John Stamper

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Interactive Structures Lab

We investigate and develop interactive computational design tools that enable digital fabrication of complex structures for novice users. Interactive structures embed functionality within their geometry such that they can react to simple input with complex behavior.

Details: Interactive Structures Lab

Contact: Alexandra Ion

Kittur Lab logo, blue illustration of 2 halves of the brain

Kittur Lab

We combine human and machine intelligence to help people make sense of overwhelming information and accelerate innovation.

Details: Kittur Lab

Contact: Niki Kittur

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LearnLab

LearnLab brings learning science and technology to bear on real-world challenges in learning, spanning K12 and college topics in math, science, and language learning. We provide innovative techniques and technologies to support iterative engineering of highly effective, efficient, and enjoyable learning experiences.

Details: LearnLab

Contact: Ken Koedinger

McLearn Lab logo, illustration of a computer screen with science and math icons

McLearn Lab

The McLearn Lab does research in the areas of Learning Science and educational technology. The lab has developed and conducted experiments with digital learning games, intelligent tutors, and collaborative learning systems. We are interested in supporting education in many novel and impactful ways.

Details: Website

Contact: Bruce McLaren

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Morphing Matter Lab

We advance science and society with the design of morphing materials.

Details: Morphing Matter Lab

Contact: Lining Yao

Natural Programming Lab logo, a sketch of a person thinking "if_ then_ ..."

Natural Programming Lab

We take a human-centered approach as we focus on making programming languages, APIs, and programming environments easier to learn, more effective, and less error prone.

Details: Natural Programming Lab

Contact: Brad Myers

Smash Lab logo, smart sensing for humans

Smart Sensing for Humans (SmaSH) Lab

The SmaSH Lab develops innovative sensing systems to develop solutions with immediate impact in the fields of health, accessibility, novel interactions, activity recognition, and technologies for the developing world. We are an interdisciplinary team of researchers from ISR and HCII.

Details: Smart Sensing for Humans Lab 

Contact: Mayank Goel

grey watermark of HCII logo

Social Lab

My lab focuses on improving our understanding of, and the quality of, collective actions arising from interactions between people and machines within social networks. We aim to yield important scientific insights on human-computer interactions and develop new research tools for social good.

Contact: Hirokazu Shirado

Social AI Group logo, illustration of grey and blue robot hands overlapping

Social AI Group

Social AI Group is an interdisciplinary research group within Carnegie Mellon University. In our research, we aim to study and design socially sensitive AI. We combine in-depth empirical research with design methods in order to create, deploy and evaluate innovative AI tools that better support humans to complete complicated tasks, that promote positive human interactions, and that improve group and community wellbeing.

Contact: Haiyi Zhu

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Tech Solidarity Lab

We seek to open new opportunities for community-driven technology development and extend theoretical frameworks that further our understanding of design, politics and justice.

Contact: Sarah Fox

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Technology Research for Augmenting Creativity in Educational Spaces (TRACES Lab)

We focus on co-design partnerships with educators in creative learning and project based learning contexts. We collaboratively design learning technologies by bringing together an interdisciplinary team across HCI, design, architecture, educational research and computing.

Details: TRACES Lab

Contact: Marti Louw