Method for validating human search and target acquisition performance models to a specified accuracy

John P. Mazz; Regina W. Kistner

doi:10.1117/12.210041

22 May 1995 Method for validating human search and target acquisition performance models to a specified accuracy

John P. Mazz, Regina W. Kistner

Proceedings Volume 2470, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VI; (1995) https://doi.org/10.1117/12.210041
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

Search and target acquisition (STA) is a complex task involving the ability of a human, using unaided eye or aided optics, to search an area of interest and ultimately discriminate a target from its background. As the backbone of many system performance and force-on-force models, the STA process must be tested and validated to some degree of accuracy. The Army STA modeling community has conducted a model improvement program and is in the process of validating the new models. Standard statistical techniques, which test for perfection (e.g., H0: a equals b), are inappropriate for validating these models which do not claim perfection. This paper proposes a nonparametric (rank based) method for validating models to a specified accuracy [e.g., H0: (b - .1) < a < (b + .1)]. The interaction between the power-of-the-test and sample size is explored, and an example using a thermal sensor target acquisition model is used to illustrate the technique.

Citation Download Citation

John P. Mazz and Regina W. Kistner "Method for validating human search and target acquisition performance models to a specified accuracy", Proc. SPIE 2470, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VI, (22 May 1995); https://doi.org/10.1117/12.210041

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KEYWORDS

Statistical modeling

Data modeling

Target acquisition

Target detection

Performance modeling

Eye models

Process modeling

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