Answering the "So What" Question: How can Human Factors help with implementing automation in the Oil and Gas Industry

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Includes a Live Web Event on 12/02/2022 at 10:00 AM (EST)

The better the automated systems are, the lower the situation awareness of the human operators, and the less likely that they will be able to take over manual control when needed. 

This is one of the ironies of automation. 

Automated systems rapidly grow in popularity in the oil and gas sector due to their many advantages, from reducing mistakes to improving efficiency.

 However, at the same time, these systems introduce new challenges and risks. 

Dr Endsley will introduce the “human-autonomy systems oversight model” developed based on several decades of applied research that includes out-of-the-loop performance problems, monitoring, and trust, among many others. 

The webinar will also provide an overview of the key solutions to reduce the risk of human performance issues when interacting with autonomous systems such as human-automation interface features, central automation interaction paradigms comprising levels of automation, adaptive automation, and granularity of control approaches.

Moderator: Camille Peres (Moderator)

Associate Professor

Texas A&M University

Julie Gilpin-McMinn (Moderator)

Technical Fellow Human Factors/Ergonomics

Spirit Aerosystems, Inc.

Dr. Marcin Nazaruk

Dr. Marcin Nazaruk specializes in safety transformation through the practical application of human factors, human performance, and safety 2. Marcin held a number of senior leadership roles in the energy industry focused on the practical and scalable implementation of human performance strategies, tools, and solutions. Nazaruk has an applied PhD in human factors and a broad range of advanced qualifications in management (MBA), industrial psychology, systems thinking, culture change, or behavioral science. The multidisciplinary approach led to innovative but highly practical solutions that attracted multiple industry awards. He is the author of multiple industry guides published by the IOGP, SPE, or Energy Institute and is the world’s only person who chaired the four most prestigious human factors working groups in the energy industry. Learn more on www.learningfromnormalwork.com

Dr. Mica Endsley

Dr. Mica Endsley is President of SA Technologies and is the former Chief Scientist for the US Air Force. She has also held the positions of Visiting Associate Professor at MIT in the Department of Aeronautics and Astronautics and Associate Professor of Industrial Engineering at Texas Tech University.  Dr. Endsley is a Fellow and Past-President of the Human Factors and Ergonomics Society. She received a Ph.D. in Industrial and Systems Engineering from the University of Southern California. Dr. Endsley is a recognized world leader in the design, development and evaluation of systems to support human situation awareness (SA) and decision-making, and the integration of humans and automation. She has authored over 200 scientific articles and is the co-author of Analysis and Measurement of Situation Awareness and Designing for Situation Awareness and recently published Situation awareness measurement: How to measure situation awareness in individuals and teams.

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Answering the "So What" Question: How can Human Factors help with implementing automation in the Oil and Gas Industry
12/02/2022 at 10:00 AM (EST)   |  60 minutes
12/02/2022 at 10:00 AM (EST)   |  60 minutes The better the automated systems are, the lower the situation awareness of the human operators, and the less likely that they will be able to take over manual control when needed. This is one of the ironies of automation. Automated systems rapidly grow in popularity in the oil and gas sector due to their many advantages, from reducing mistakes to improving efficiency. However, at the same time, these systems introduce new challenges and risks. Dr. Endsley will introduce the "human-autonomy systems oversight model" developed based on several decades of applied research that includes out-of-the-loop performance problems, monitoring, and trust, among many others. The webinar will also provide an overview of the key solutions to reduce the risk of human performance issues when interacting with autonomous systems such as human-automation interface features, central automation interaction paradigms comprising levels of automation, adaptive automation, and granularity of control approaches.