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Human systems engineering is an expanding interdisciplinary field that combines psychological sciences with engineering principles. It examines how individuals engage with technological and social systems across various domains such as transportation, healthcare, defense, computing, and other intricate systems.
The discipline draws extensively from human factors and cognitive science. Human factors focuses on applying psychological and physiological knowledge to product, process, and system design. Cognitive science establishes the groundwork for incorporating human abilities and constraints into complex sociotechnical systems (known as cognitive engineering), while its practical implementation depends significantly on human systems engineering methods.
There's a significant need for merging human factors with applied cognitive science through a systems perspective when designing sophisticated sociotechnical systems. Some applications include:
creating and assessing educational environments and technologies (learning engineering)
building intelligent agents that effectively collaborate with people
driver simulation studies for distraction research
dynamic models of team coordination
business decision-making analysis through gaming simulations
cybersecurity assessment using human-in-the-loop simulations
healthcare investigations via medical simulations
modeling cognitive aspects of sociocultural systems
enhancing nuclear control room operations through simulation
aviation training research using flight simulators
consumer behavior simulations
evaluating future air traffic management concepts with control tower simulators
This doctoral program in human systems engineering prepares graduates with comprehensive expertise in the field's methodologies. The curriculum offers interdisciplinary, research-focused training in computing, engineering, technology, applied cognitive science, and human systems integration.