Welcome to the Cognitive Engineering Center

In our complex world of humans and machines, CEC researchers are building the foundations, training, and technologies for safe and effective work.

Our research is built around a simple question: What if we designed training and technology based on how people actually do their work? In answering this question, we have contributed to procedures and displays for air and space operations, to basic research for military command and control decision making, and adaptive intelligence for industrial robots and autonomous vehicles. We examine human-machine interaction using any tool necessary (field work or human-subjects studies; and interviews, software, or mathematics), finding the appropriate solution for the requirements.

Founded in 2005 by Dr. Amy Pritchett in the Georgia Tech School of Aerospace Engineering, and now, in our second decade, the CEC continues to ignore the boundaries of traditional disciplines in our search for meaningful, implimentable solutions. Aerospace engineers, computer scientists, roboticists, industrial engineers, and education researchers work together to build a safer and more effective human-machine world.

CEC Graduate Student, Martijn IJtsma, Successfully Proposed his PhD in Aerospace Engineering

OCT 29, 2018 -- Today, CEC graduate student, Martijn IJtsma, successfully proposed his PhD in Aerospace Engineering, titled, “Computational Simulation of Adaptation of Work Strategies in Human-Robot Teams.” His research is advised by Professors Amy Pritchett and Karen Feigh of the CEC with committee members Prof. Eric Feron (GT-AE), Prof. John-Paul Clarke (GT-AE), and Dr. Matthew Johnson (Institute for Human & Machine Cognition). Below is the abstract of his proposal with his presentation archived here:

Former CEC Member Addresses Vulnerabilities in Our Voting Systems

Former CEC member, Marc Canellas, served as an advisor to NBC News as part of the team from the Open Source Election Technology (OSET) Institute. In his article, "Was Your Voting Machine Hacked? Without More User-Friendly Devices, We May Not Know," he details vulnerabilities in our voting system. The full article can be found here

CEC Researchers Present on Work Models that Compute (WMC) at the 2018 Human Factors and Ergonomics Society (HFES) Conference

CEC researchers Martijn IJtsma, Dr. Karen Feigh, and Dr. Amy Pritchett gave a demonstration of the “Work Models that Compute” simulation framework at the 2018 HFES annual meeting in Philadelphia. This simulation framework is developed together with CEC graduate students Lanssie Ma and Sean Ye to study human-robot teams in space operations.

Dr. Karen Feigh Presents at the Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference

On September 17th, Dr. Karen Feigh traveled to Maui, Hawaii to present on "SSA Decision Support System Development and Evaluatios using Cognitive Systems Engineering." This work was sponsored by Lockheed Martin and collaborated with Dr. Marcus J. Holzinger, an adjunct professor in the Daniel Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology. To learn more about this work, view the presentation files here.

Dr. Karen Feigh Presents at Decision and Control Laboratory (DCL) Seminar

Dr. Karen Feigh presented on "The Human Experience in Interactive Machine Learning" at the Decision and Control Laboratory (DCL) Seminar on Friday, September 21st. To learn more about this topic, you can review her slides here.

CEC Graduate Student, Michael Portman, Successfully Proposes Master's Thesis

Sept. 4th 2018 - Last week, CEC graduate student, Michael Portman, successfully proposed his Master’s Thesis in Aerospace Engineering, titled, “Context Dependent Total Energy Alert for the Detection of Low Energy Approaches.”  His research will be advised by Dr. Amy Pritchett, Department Head, Department of Aerospace Engineering, Pennsylvania State University, co-advisor of Dr. Eric Feron, and the final committee member is Dr. Brian German.  The presentation is archived here.

CEC Graduate Student, Andrew Greenhill, Successfully Proposes Master's Thesis

Sept. 15th 2017 – Today, CEC graduate student, Andrew Greenhill, successfully proposed his Master’s Thesis in Aerospace Engineering, titled, “Enhanced Flight Vision Systems: Presence of Runway Markings and Visibility Effects on Pilot Performance.”  His research will be advised by Dr. Amy Pritchett, co-advisor of Dr. Marcus Holzinger, and the final committee member is Dr. Michael Dorneich from the Industrial and Manufacturing Systems Engineering department at Iowa State.  The abstract for the proposal is shown below and the presentation is archived here.

Ma and Feigh team up with NASA to Co-Author Two Papers for Upcoming Conferences on Human Factors (HFES) and Robotics (FSR)

JULY 25, 2017 - Lanssie Ma and Dr. Karen Feigh of the CEC have authored two papers in upcoming conferences, the 2017 Human Factors and Ergonomics Society (HFES) Annual Meeting in Austin, Texas, and 2017 Conference on Field and Service Robotics (FSR) in Zürich, Switzerland. For HFES, they authored "Jumpstarting Modelling Systems Design: A Generalized XML Abstraction of Simulation Models," and for FSR, they co-authored "Human-Robot Teaming : Concepts and Components for Design," with Dr. Terrance Fong, Dr. Mark Micire, and Dr. Yunkyung Kim.

Razin Travels to Singapore to Present at IEEE International Conference on Robotics and Automation

JULY 25, 2017 - CEC graduate student, Yosef Razin, traveled to Singapore in June to present at the IEEE International Conference on Robotics and Automation (ICRA). ICRA is IEEE Robotics and Automation Society's flagship conference and is a premier international forum for robotics researchers to present their work. Yosef presented his paper, "Predicting Task Intent from Surface Electromyography Using Layered Hidden Markov Models," coauthored with Kevin Pluckter, Dr. Jun Ueda, and Dr. Karen Feigh. The paper can be accessed via IEEE Xplore.


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Map of Cognitive Engineering Center

Cognitive Engineering Center (CEC)
Georgia Institute of Technology
270 Ferst Drive
Atlanta GA 30332-0150