The Cognitive Engineering Center (CEC) was founded in 2005 by Dr. Amy Pritchett and is based in the College of Engineering at the Georgia Institute of Technology.
Cognitive engineering focuses on the analysis, design, and evaluation of complex socio-technical systems of people and technology such as air/ground transportation and military systems. It combines knowledge and experience from the cognitive and computer sciences, human factors, human-computer interaction, and systems engineering. Human cognitive activities such as planning, decision making, and problem solving, should be considered early in the systems design process of technology, procedures, or teams. The goals of the field are to provide better integration between human operators and the system so that human operators can act more effectively and preserve system safety and productivity if unanticipated situations arise; and to consider capabilities and limitations of human cognitive behaviors in the design processes of the system to reduce potential human errors and maximize human performance
Researchers within the CEC examine human-system integration in complex work environments from theoretical and methodological viewpoints, in the field and in the laboratory, and make substantive contributions to practice. Its research and education efforts span several domains of engineering, most notably:
Yosef Razin presented his paper, "Learning to Predict Intent from Gaze During Robotic Hand-Eye Coordination Tasks" at the 2017 AAAI conference this week in San Francisco, CA. The work showed how accounting for anticipatory eye movements in addition to the movements of the robot improves intent estimation. This research compares the application of various machine learning methods to intent prediction from gaze tracking data during robotic hand-eye coordination tasks.
DEC 31, 2017 - How do pilots perform in the potential air traffic operations of advanced flight deck interval management and closely spaced parellel operations? Well, there's still some work to be done on all fronts - pilot training, procedures, and flight deck systems - according to a newly published study in the AIAA Journal of Air Transportation by CEC Prof. Amy Pritchett and research engineer, Rachel Haga.
JAN 27, 2017 - CEC researchers Martijn IJtsma, Lanssie Ma, Dr. Amy Pritchett, and Dr. Karen Feigh, will present a new paper on function allocation at the upcoming 2017 International Symposium on Aviation Psychology in Dayton, Ohio, USA.
JAN 9, 2017 - CEC professors, Dr. Karen Feigh and Dr. Amy Pritchett, recently received a two year, $600K NASA Early Stage Innovation (ESI) grant for "Technologies for Mixed-Initiative Plan Management for Human Space Flight." Their goal is to develop technology that will allow on-board astronauts to develop their own short- and long-term plans for accomplishing mission objectives.
DEC 30, 2016 - What information should be presented to or hidden from decision makers in order to facilitate high performance in decision tasks? In a recently accepted article to IEEE Transactions on Human-Machine Systems, "Heuristic Information Acquisition and Restriction for Decision Support," CEC researchers, Marc Canellas and Karen Feigh, contribute new rules for information acquisition and restriction which do not require reliable assessments of probabilities, cue weights, and cue values, as most normative, Bayesian methods do.
DEC 21, 2016 - The CEC graduate students took a trip to Flight Safety International Inc. this week to learn how general and commercial aviation pilots train. They were introduced to the same type of classroom training, flight training devices, and simulators that pilots use. At the conclusion of the trip, the students had the opportunity to pilot the simulators from take-off through landing at night and in fog.
DEC 15, 2016 – What can regulators of human-autonomous systems learn from the literature of cognitive engineering? Five CEC researchers, Marc Canellas, Rachel Haga, Matthew Miller, Yosef Razin, and Dev Minotra, will try to answer this question with their paper, “An Engineer’s Cheat-Sheet for Regulators of Human-Autonomous Systems.” The paper was among the 10% of abstracts accepted to WeRobot 2017, the premier robot law conference in the country, to be held at Yale Law School, one of the top law schools in the U.S. and the world. Their paper builds off two previous articles by Canellas and Haga (2015; 2016) by addressing five major concerns of regulating human-autonomous systems: definitions, complexity, safety, transparency, and accountability.
DEC 11, 2016 – When Marc Canellas, CEC PhD candidate, looked out on the audience at his most recent presentation, he didn’t see the typical aerospace engineers or psychologists. There were Marine and Navy officers, wargaming and cybersecurity analysts for the Army and Navy, and consultants from small and large aerospace and defense firms. These were the standard members of the Military Operations Research Society (MORS), the society for active military analysts, researchers, consultants, and officers within the U.S. Department of Defense focused on operations research and decision sciences. Marc had been invited to present at the first-ever MORS Emerging Techniques Special Meeting (METSM).