Human-robot interaction modeling and simulation of supervisory control and situational awareness during field experimentation with military manned and unmanned ground vehicles

Tony Johnson; Jason Metcalfe; Benjamin Brewster; Christopher Manteuffel; Matthew Jaswa; Terrance Tierney

doi:10.1117/12.850653

7 May 2010 Human-robot interaction modeling and simulation of supervisory control and situational awareness during field experimentation with military manned and unmanned ground vehicles

Tony Johnson, Jason Metcalfe, Benjamin Brewster, Christopher Manteuffel, Matthew Jaswa, Terrance Tierney

Author Affiliations +

Proceedings Volume 7692, Unmanned Systems Technology XII; 76920A (2010) https://doi.org/10.1117/12.850653
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

The proliferation of intelligent systems in today's military demands increased focus on the optimization of human-robot interactions. Traditional studies in this domain involve large-scale field tests that require humans to operate semiautomated systems under varying conditions within military-relevant scenarios. However, provided that adequate constraints are employed, modeling and simulation can be a cost-effective alternative and supplement. The current presentation discusses a simulation effort that was executed in parallel with a field test with Soldiers operating military vehicles in an environment that represented key elements of the true operational context. In this study, "constructive" human operators were designed to represent average Soldiers executing supervisory control over an intelligent ground system. The constructive Soldiers were simulated performing the same tasks as those performed by real Soldiers during a directly analogous field test. Exercising the models in a high-fidelity virtual environment provided predictive results that represented actual performance in certain aspects, such as situational awareness, but diverged in others. These findings largely reflected the quality of modeling assumptions used to design behaviors and the quality of information available on which to articulate principles of operation. Ultimately, predictive analyses partially supported expectations, with deficiencies explicable via Soldier surveys, experimenter observations, and previously-identified knowledge gaps.

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Tony Johnson, Jason Metcalfe, Benjamin Brewster, Christopher Manteuffel, Matthew Jaswa, and Terrance Tierney "Human-robot interaction modeling and simulation of supervisory control and situational awareness during field experimentation with military manned and unmanned ground vehicles", Proc. SPIE 7692, Unmanned Systems Technology XII, 76920A (7 May 2010); https://doi.org/10.1117/12.850653

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