Meet the Scientists!
Watch video clips of lab personnel as they explain their research in the Arch Lab.
- Lab Name/Location
Arch Laboratory, Human Factors and Applied Cognition program in the Department of Psychology at George Mason University in Fairfax, Virginia, USA
- Goals/Mission Statement
The Arch Lab has approximately 5,000 square feet of space dedicated to research in human factors, cognitive psychology, cognitive neuroscience, and neuroergonomics.
Seven faculty in Human Factors and Applied Cognition and 60 grad students, all members of Arch lab.
- Technology/Equipment Used
EEG, fMRI, PET, ERP, fNIRS, TMS, Transcranial Doppler Sonography (TDS), eye tracking, flight and driving simulators, genetic testing.
NIH, NSF, ONR, DARPA, FAA, NASA, NTSB, DoD, the Army Research Laboratory, the Air Force Office of Scientific Research, and the National Highway Transportation Safety Administration.
APS provides an overview of the George Mason University Arch Laboratory located in Fairfax, Virginia, USA. Watch Deborah Boehm-Davis (Associate Dean, College of Humanities and Social Science) and Raja Parasuraman (Director Human Factors and Applied Cognition Graduate Program and Chair of the Neuroimaging Core of the Krasnow Institute) discuss the field of human-factors research and how the Arch Lab bridges theory, experimentation, and application in the cognitive sciences.
The Arch Lab came into being in 1996 when Debbie Boehm-Davis and Wayne Gray (then a faculty member in the department) decided to combine forces and merge their labs. For 15 years, the Arch Lab has existed as a merged lab for all faculty members in the Department of Human Factors and Applied Cognition at George Mason. Faculty members have their own areas of research, but they share lab facilities. This level of collaboration and cooperation is what makes the Arch Lab unique, says lab director Raja Parasuraman.
The name ‘Arch Lab’ was coined as a way to represent the broad spectrum of research conducted in the lab, from basic research on one side all the way to applied research on the other. “In an ideal world,” says Boehm-Davis, “those two sides are connected – we don’t have people doing work in the academy that is not related to what’s happening in the real world. But we also hope the real world is aware of the work that is being done in the university.”
The faculty and graduate students in the Arch Lab research various areas of cognition, including attention, audition, biological motion, eye movements, imagery, memory, and visual perception. And their research is applicable for automation, aviation, driving, robotics, and human-computer interaction.
According to Parasuraman, human-factors research is so important because real-world systems are often designed without taking human capabilities into account. “Only after the fact, when there is some incident, some accident, or problems in using the system, do they come to light,” he observes.
Ultimately, the goal of the Arch Lab is to conduct research that will help develop better systems and to provide graduate students with the tools to do so, whether they end up in an academic, industry, or government position.
Meet the Scientists! Watch video clips of lab personnel including Raja Parasuraman, Carryl Baldwin, Debbie Boehm-Davis, Matt Peterson, Tyler Shaw, Jim Thompson, and Robert Youmans, as they explain their role and research in the Arch Lab.
Want more human factors? Watch the Human Factors Rap, created by students and faculty in the Arch Lab for a Human Factors and Ergonomics Society video contest in 2011 to help explains what the field of human factors is.
What is human-factors research?
“Human-factors [research] looks at our limitations and capabilities and tries to apply them to the design of objects that we use to improve either safety or productivity. So, for example, if you think about our processing limitations, we don’t see X-rays and we don’t hear dog whistles. Therefore, a sign that is dark or a sound that is outside our range of hearing cannot be used adequately as a warning or an alert. On the cognitive side, we’re far more interested in how people comprehend complex information and what information people need to perform their jobs adequately.” - Debbie Boehm-Davis
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