Share Email Print
cover

Proceedings Paper

Method for validating human search and target acquisition performance models to a specified accuracy
Author(s): John P. Mazz; Regina W. Kistner
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 22 May 1995
PDF: 12 pages
Proc. SPIE 2470, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VI, (22 May 1995); doi: 10.1117/12.210041
Show Author Affiliations
John P. Mazz, U.S. Army Materiel Systems Analysis Activity (United States)
Regina W. Kistner, U.S. Army Materiel Systems Analysis Activity (United States)


Published in SPIE Proceedings Vol. 2470:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VI
Gerald C. Holst, Editor(s)

© SPIE. Terms of Use
Back to Top