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.
Next month, Yosef and his co-inventors will be receiving the 2020 Thomas Edison Patent Award for Emerging Technology from the New Jersey Research & Development Council for their invention of a compact rocket engine thruster propelled by a small fusion reactor. This patent demonstrated how a compact fusion reactor, called the Direct Fusion Drive (DFD), could be built and run successfully as both a power and direct propulsion system that would enable faster, cleaner, and more fuel effeceint missions throughout our solar system.
OCTOBER 1, 2020 -- 4th-year graduate student Will Sealy successfully proposed his Thesis work titled "Understanding and Supporting Decision Making in Denied and Degraded Decision Environments" and is now a Ph.D. Candidate in the School of Aerospace Engineering. His work focuses on the understanding of decision making behaviors under time pressure and information uncertainty, and the subsequent development of decision support systems that can improve decision outcomes in these situations. His committee consisted of Dr. Karen Feigh (advisor) of Aerospace Engineering, Dr.
SEPTEMBER 8, 2020 -- 4th-year CEC graduate student, Will Sealy, presents his work, "Information Modification for Time-Limited Decision Making" virtually at the 1st IEEE International Conference on Human-Machine Systems (ICHMS 2020). The work is coauthored by fellow CEC member, Dr. Karen Feigh. The presentation can be found here.
JULY 20, 2020 -- 3rd-year CEC graduate student, Sarah Walsh, presents her work, "Optimal Experimental Design Methods for Acquiring and Restricting Information to Improve Decision Making" virtually at the 11th International Conference on Applied Human Factors and Ergonomics (AHFE 2020). The work is coauthored by fellow CEC members, William Sealy and Dr. Karen Feigh. The presentation can be found here.
JUNE 5, 2020 -- CEC researcher Divya Srivastava presented "Impact of Interaction Design on Human Satisfaction Teaching Reinforcement Learning Agents in Partially Observable Domains" at the Workshop on Interactive Robot Learning at the virtual ICRA 2020 conference. This study was conducted in collaboration with Spencer Frazier in Dr. Mark Reidl's Entertainment Intelligence Lab. The presentation can be found here.
SEP 25, 2019 -- This past summer, 2nd-year CEC student Divya Srivastava worked in Washington DC at the U.S. Naval Research Laboratory. She was with Laboratory for Autonomous Systems Research (LASR) and worked on an human-computer interaction project. The HCI project sought to control a multi-agent system via gesture control using a wearable (smartwatch) interface. This research is key in providing dynamic and robust interaction methods to users of robotic agents.
SEP 25, 2019 -- This past summer, 3rd-year CEC student Will Sealy worked in Richland, Washington with Pacific Northwest National Laboratory. He was with the Visual Analytics division and collaborated on two projects, related to both Human-Machine Teaming and Artificial Intelligence. The HMT project seeks to understand how we create common ground within human-machine teams and how this might be achieved by understanding and contributing to cognitive artifacts and machine autonomy.
JUN 28, 2019 -- Today, CEC graduate student, Michael Portman, successfully defended his Master's Thesis in AE, titled, “Context Dependent Total Energy Alerting System for the Detection of Low Energy Unstabilized Approaches.” His research is advised by Dr. Karen Feigh and Dr. Amy Pritchett of the CEC with committee members Dr. Brian German (GT-AE), and Dr. John-Paul Clarke (GT-AE). Below is the abstract of his thesis:
MAY 29, 2019 -- Daniel Guggenheim School of Aerospace Engineering professor Karen M. Feigh has been chosen to attend the prestigious Frontiers of Engineering Symposium, to be held Sept. 25-27 in Charleston, South Carolina.