Emerging Technologies for Nutrition Research Potential for Assessing Military Performance Capability (1997) / Chapter Skim
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Pages 551-568
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Emerging Technologies for Nutrition Research, 1997 Pp.
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components. The second section discusses some of the authors' experiences with the IDS.
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Visual Feedback The IDS uses an Evans and Sutherland ESIG 2000 dedicated Image Generator (IG)
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Motion Feedback Motion feedback refers to the feeling of acceleration sensed in the process of driving. The IDS uses a hexapod (six-legged)
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the normal car. Additional devices often are installed to provide newly designed capabilities.
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Research Issues and Limitations While simulators of this sort provide new and interesting technologies for the measurement of human performance, they are not free of challenges and limitations for their effective use. Some of the issues include choosing and sorting through the detailed and numerous quantifiable performance measures that are possible with this technology (Bloomfield and Carroll, 1996)
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The highly reconfigurable architecture allows IDS researchers to jump between an A model car, a Ford Taurus, a HMMWV (high-mobility multipurpose wheeled vehicle) , and an M1A1 tank, so different components of different vehicles can be held with that engineering level of fidelity.
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modeled with 3-in resolution. Less rough areas were modeled based on data that were gathered with profilometer.
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from the driver that may be pertinent to the actual design of the vehicle to reduce the time required in the design process and to lower associated costs. Last summer, drivers were placed on both the Munson and Churchville courses at the Aberdeen site and then brought to the simulator in Iowa City.
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The IDS and the Research Community Some of the challenges of using virtual reality for this sort of measurement include resource issues, such as billing the research community, looking at simulator effects or simulator sickness, and validation of virtual reality -- in particular this driving simulator -- as a measurement tool. As part of a university, the IDS staff's first mission is to do research for the university and the Center for Computer-Aided Design at the University of Iowa.
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challenges with simulator effects are to identify those susceptible groups and the simulation in order to take care of some of those parameters. It has been possible to tune out sickness fairly well in the IDS; although there is an attrition rate of about 2 percent, up to about 8 percent of the simulator subjects report at least some symptoms.
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controllable, and it must be possible to take this technology to a platform3 on which it is very cost effective, where high-fidelity simulation can be obtained for a fraction of the cost. References Alessi, S.M., and G.S.
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Grant, P., and G.S. Watson 1997 Validation of a HMMWV in the Iowa Driving Simulator.
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BERNADETTE MARRIOTT: You mentioned physiological measures. What physiological measures do you take?
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DAVID DINGES: Finally, may I ask you statistically what is the reaction of risk-taking driving groups, such as males in their 20s. I mean, how do they behave on it?
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speed they normally drive on an interstate and what speed they would normally drive on a rural road. We have found some pretty decent correlations with that.
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GINGER WATSON: There is a graduate student who has done a sleepdeprivation study in our low-fidelity simulator, but that is it. We have had people approach us to do that sort of work, but we have not, because, to be very honest, this is where that fidelity issue comes in for certain sorts of experiments, especially when there is a secondary task or something, you might be able to do much more cost effectively on a lower-fidelity device.
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