Neurotechnology: Driven Adaptive Systems, a seminar by Michael Dorneich
The Obermann Center Working Group "Aging Mind and Brain Initiative" present: Neurotechnology – Driven Adaptive Systems, a seminar by Michael Dorneich.
Adaptive systems are those which can appropriately modify their behavior to fit the current context. This concept is appealing because it offers the possibility of creating automation that behaves like good human assistant who can provide what is needed without being asked. To be successful, adaptive systems have to be able to interpret the users’ situation and have the authority to respond by changing its own behavior. However, there are many technical challenges in accurately perceiving and interpreting users’ current situation: integrating cognitive state, environment and task information; using it to predict users’ current needs; and making changes in such a way to minimize disruption and maximize benefit. Recent developments in neurological and physiological sensors to identify users’ cognitive state will increase interest in adaptive systems research and practice over the next few years. This talk will review the components of an adaptive system as an evolution of work in human-machine system development, and present an organizing two-part framework which 1) categorizes ways in which adaptive systems can modify their behavior, and 2) characterizes trigger mechanisms through which adaptive systems can sense the current situation and decide how to adapt. Multiple examples will be described to highlight issues that are particularly relevant to adaptive systems research, including risks/benefit tradeoffs, the use cognitive state assessment as feedback to human operators to improve crew coordination, and automation etiquette.
Dr. Michael C. Dorneich
Dr. Michael C. Dorneich is an Associate Professor at Iowa State University in the Industrial and Manufacturing Systems Engineering Department and directs the I direct the Adaptive Cognitive Systems Laboratory. He graduated in 1999 from the University of Illinois at Urbana-Champaign with a Ph.D. in Industrial Engineering in the Human Factors Program, where his thesis work centered on the design of distributed collaborative decision-aid, learning, and workflow management applications. Dr. Dorneich’s research interests focus on creating joint human-machine systems that enable people to be effective in the complex and often stressful environments found in aviation, military, robotic, and space applications. He specializes in adaptive systems which can provide assistance tailored to the user’s current cognitive state, situation and environment. Adaptive systems are becoming more necessary as intelligent assistants are spreading into every aspect of work, education, and home life. His recent work explores the dual costs and benefits of adaptive systems, and develops approaches to mitigate shortcomings, leverage human strengths, and augment human performance when human capacity falls short of the demands of complex operational environments. Specific research and application areas include human factors, cognitive engineering, adaptive automation and adaptive interfaces, distributed systems, interactive learning environments, and decision-support systems. Prior to joining the faculty at Iowa State University, he worked at Honeywell Laboratories from 1999-2012 researching adaptive system design and human factors in a variety of domains. He holds 9 patents and has filed 20 additional. He has authored over 75 professional, peer-reviewed papers, and is currently an Associate Editor for the Journal of IEEE Transactions of Systems, Man, and Cybernetics.