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.
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, 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 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.
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 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.
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.
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.
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.