8 June 2011 A methodology for the assessment of 360° local area awareness displays
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In the process of developing new technologies for displaying 360° visual data supporting Local Area Awareness (LAA) in complex environments (e.g. tactical military environments), one important, though often overlooked, area is system evaluation. Without an accurate and reliable evaluation, it is impossible to determine which elements of the new display are useful and which need further development. Evaluating a system properly requires two types of tests: one for testing capabilities (e.g. given a display, what types of threats can be detected and identified?), and another for probing whether a given display configuration is useful (e.g. will the human operator use this more complex interface appropriately in the real world?). While established methodologies exist for the former, the latter often appears as a much less tractable problem. This is primarily because of the difficulties with modeling the complexity of the real world in a simulated environment. This paper presents a methodology for architecting a distributed simulation to support evaluation of a 360° LAA display system for usefulness to human participants within virtual environments. The evaluation that leveraged the methodology ultimately reported several unexpected results due to the effectiveness of the evaluation; for example, the experiment discovered a much greater "keyhole effect" than expected, where participants focused almost entirely on the forward 180°, even when presented with imagery covering the full 360°. Such results demonstrate the utility of the methodology, particularly for developing evaluations that discover unexpected aspects of operational use in complex environments.
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Chris Manteuffel, Chris Manteuffel, Jason Metcalfe, Jason Metcalfe, Tony Johnson, Tony Johnson, Matthew Jaswa, Matthew Jaswa, Xung Nham, Xung Nham, Bradley Brumm, Bradley Brumm, } "A methodology for the assessment of 360° local area awareness displays", Proc. SPIE 8042, Display Technologies and Applications for Defense, Security, and Avionics V; and Enhanced and Synthetic Vision 2011, 80420G (8 June 2011); doi: 10.1117/12.885134; https://doi.org/10.1117/12.885134

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