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Advanced Human Machine Interfaces |
Psychophysiology of
learning
Mental workload assessment
Neurotechnologies
Software for AHCI
Signal processing |
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Description
A number of integrated systems have been
proposed or designed for situations where a human needs to be considered as a necessary
part of the system. In such cases, the human- machine interface is a critical component of
the system. Such systems typically produce much more data than a human is able to digest
in a time-critical situation, so the main job of the interface is to present the data in a
form easily understandable by the human and to provide an easy means of interacting with
the system.
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Special Characteristics
Advanced work on the human- machine interface was
initially done by the Department of Defense because of the need to support pilots in
combat situations, but as automation and information intensity increase in other fields,
human-machine interfaces become increasingly important to the safety and efficiency in a
variety of work places.
The field of human factors focuses on human
capabilities, behavior and performance while interacting with engineered systems and
environments. While the classic perception of human factors deals with aircraft cockpit
displays and ergonomics, today it is a design oriented discipline that covers the range of
human interaction with complex systems and environments such as the control rooms of power
plants, air traffic control, manufacturing, and telecommunications networks. In future
"highly automated systems," when staff size is small and the operating
environment stressful, the cognitive demands of large, complex and dynamic nonlinear or
digital systems quickly outstrip the control capacity of the unaided human. Neglecting
human factors can result in labor- intensive operations and increased operating costs,
high workload and fatigue, and higher rates accidents resulting from human error. These
problems are far from trivial and they can be life threatening.
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Impact on Economy
Under development.
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Impact on Security
Both the assessment techniques and the
decision support aids can be applied to a wide range of task design and training
situations, and should be of value in both the transportation and industrial process
control environments. Advances in human-machine interface technologies will lead to
greater productivity and greater safety in U.S. industry. This technology is also critical
for warfighting in the "information-intensive" battlefield.
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Worldview
The DOD Crew System Ergonomics Information
Analysis Center, NASA's Space and Flight Human Factors groups, and their affiliated
universities and support contractors have been the leaders in the development of advanced
human-machine interface. While the information has been widely available, industry has
only recently shown a broader interest in incorporating it in system design. While the
European community has been more amenable to standards activities such as video display
terminal standards and workstation ergonomics, the U.S. has developed a substantial body
of knowledge that could be more effectively exploited in the design of large systems and
consumer products. Japanese industry has shown some interest in the field and has
increased its research funding but the U.S. efforts are so much greater that the U.S. lead
in this area is increasing.
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Whats the use?
The design of systems to assist
operators in managing cognitive workload, situational awareness, and decision making in
automated, multi-task environments is still evolving. Mental workload assessment and
guidelines are based on either behavioral or performance-based techniques, subjective
assessment techniques or psychophysiological techniques such as heart rate, eye blinks,
and brain waves. These techniques can be combined to derive a composite workload estimate
that takes advantage of the sensitivities of the various measures. These techniques have
been the basis for the development of crew resource management training which is now a
standard training protocol for commercial aviation crews. The application of these
techniques to the less constrained environment of industrial process control is still in
its infancy. |
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Return to
Living Systems |
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