Research – Labs and Groups

Artificial Intelligence & Cognitive Science Lab

Faculty: Ashok Goel, Nancy Nersessian, Ashwin Ram, Mark Riedl

The Artificial Intelligence & Cognitive Science Laboratory consists of four sister labs: design & intelligence, cognitive computing, interactive narratives and interdisciplinary scientific cultures.

Augmented Environments Lab

Faculty: Blair MacIntyre, Frank Dellaert, Greg Turk

AEL focuses on understanding how to build interactive computing environments that directly augment a user's senses with computer-generated material. While most of our work can be referred to as Augmented Reality, we prefer Augmented Environments because it captures our focus on user perception and the interaction between users and their environments.

BORG Lab

Faculty: Tucker Balch, Frank Dellaert

The BORG Lab focuses on enabling large-scale physical multi-agent systems, (including humans, robots and other automated systems), to collaborate effectively in dynamic, noisy and unknown environments. Our lab is particularly interested in the problems associated with making the most effective use of sensors distributed among collaborating agents.

Brain Lab

Faculty: Melody Moore Jackson

The main mission of the BrainLab is to study biometric interfaces for assistive technology, particularly Direct Brain Interfaces, to improve the quality of life for people with severe disabilities.

Cognitive Computing Lab

Faculty: Ashwin Ram

CCL pursues research at the intersection of artificial intelligence and human-centered computing, developing systems that are both intelligent and design to interact intelligently with humans.

comp.social Lab

Faculty: Eric Gilbert

The comp.social lab focuses on the design and analysis of social media.

Computational Perception Lab

Faculty: Irfan Essa, Jim Rehg, Frank Dellaert, Aaron Bobick

The Computational Perception Laboratory was created to explore and develop the next generation of intelligent machines, interfaces and environments for modeling, perceiving, recognizing and interacting with humans.

Computer Graphics

Faculty: Greg Turk, Karen Liu, Jarek Rossignac, Irfan Essa, Jim Rehg, Blair MacIntyre

The Graphics Lab is dedicated to research in all aspects of computer graphics, including animation, modeling, rendering, image and video manipulation and augmented reality.

Contextualized Support for Learning

Faculty: Mark Guzdial

Students are more successful when their learning is embedded in a context that shows relevance and motivates. The CSL Laboratory explores what kinds of contexts are most successful and creates tools to support contextualized learning.

CS Education Research

Faculty: Amy Bruckman, Barbara Ericson, Mark Guzdial, Bill Leahy, Mike McCracken, John Stasko, Monica Sweat

This informal research group studies how people come to understand computing, and how we can measure and improve that understanding.

Design & Intelligence Lab

Faculty: Ashok Goel, Spencer Rugaber

The Design & Intelligence Laboratory conducts research on computational design and computational creativity at the intersection of AI, cognitive science and human-centered computing.

Digital Video Special Effects

Faculty: Irfan Essa, Frank Dellaert

The DVFX Group focuses on exploring the technical aspects of digital video special effects production and computer animation.

Electronic Learning Communities

Faculty: Amy Bruckman

Researchers in the Electronic Learning Communities lab study and design online comunities, particularly for educational applications.

Everyday Computing Lab

Faculty: Beth Mynatt

The mission of the Everyday Computing Lab is to understand the transformation of everyday life as computing is ubiquitously integrated into informal, daily activities and routines.

Information Interfaces

Faculty: John Stasko

The Information Interfaces Group develops computing technologies that help people take advantage of information to enrich their lives. One central focus is the creation of information visualization and visual analytics tools to help people understand and analyze large data sets.

Intelligent Narrative Computing

Faculty: Mark Riedl

Narrative is a fundamental cognitive tool used by humans for communication, sense-making, entertainment, education, and training. The goal of INC is to discover new computational algorithms and models of narrative reasoning that make computers smarter and better at entertaining, educating, and interacting with humans.

Mobile Robot Lab

Faculty: Ronald Arkin, Tucker Balch, Ashok Goel, Ashwin Ram

Our charter is to discover and develop fundamental scientific principles and practices that are applicable to intelligent mobile robot systems. In addition, our lab’s goal is to facilitate technology transfer of its research results to yield solutions to real-world problems for a wide range of application domains.

Platforms and Infrastructure for Experimental Interaction

Faculty: Keith Edwards

The pixi lab explores the boundaries between interaction and infrastructure. We take a human-centered approach to our research, by understanding the needs and practices of people through empirical methods, designing compelling user experiences that fit that context, and then building the underlying systems and networking infrastructure necessary to realize that user experience.

Ubiquitous Computing Research

Faculty: Gregory Abowd, Rosa Arriaga

Our research focuses on building and evaluating “ubicomp” applications and services that impact our lives, especially in everyday settings such as the classroom, office and home. Topics include automated capture and access to live experiences, context-aware computing, applications and services in the home, natural interaction, software architecture, technology policy, security and privacy issues, and technology for individuals with special needs.

MAGIC Lab

Faculty: Jarek Rossignac

Our mission is to examine the interactive design, visualization, analysis and transmission of digital shapes and animations.

Work2Play

Faculty: Beki Grinter

In the last decade, computing has left the office and entered people's domestic and recreational lives; consequently, computing affects our lives shaping not just how we work, but also how we play. Researchers in the work to play lab are interested in using a variety of empirical techniques to advance the state of the knowledge in how computing affects our lives from work to play.

Aquatic Propulsion Lab

Faculty: Jarek Rossignac, Greg Turk, Karen Liu

The objective of the APL project is to provide scientists, students and engineers with interactive tools for designing and optimizing propulsion strategies that either mimic those exhibited by existing aquatic creatures or model new, envisioned, man-made propulsion mechanisms for a variety of engineering, scientific or medical applications.