Standardization of Geometric Radar Symbology: Stereotyped Meanings and Paper-and-Pencil Testing

1979 ◽  
Vol 23 (1) ◽  
pp. 443-447
Author(s):  
Richard J. Carter
Keyword(s):  
Second Step ◽  
Air Defense ◽  
Defense Systems ◽  
Standard Set ◽  
Paper And Pencil

The initial studies that have been conducted to derive a standard set of geometric symbols for application to future radar assisted air defense systems are presented. Experiment I was aimed at determining whether or not particular shapes exist in our population as stereotypes for the meanings friendly, hostile, and unknown. The second step in the research was directed towards finding a set of symbols which can be easily discriminated and quickly reacted to in a paper-and-pencil mode.

Application of Hardman II Methodology to the Army's Forward Area Air Defense (FAAD) System

1988 ◽  
Vol 32 (16) ◽  
pp. 1117-1121
Author(s):  
John E. Stewart ◽  
Uldi Shvern
Keyword(s):  
Air Defense ◽  
Defense Systems ◽  
Forward Area

HARDMAN II, an automated form of HARDMAN (Hardware vs. Manpower) analysis was applied to two new Army air defense systems for purposes of estimating maintainer workload and maintenance manpower requirements. Estimates showed a shortfall in official manpower allocations. Partially as a result of the HARDMAN II analyses, the Army decided to add more maintainers to the organization supporting both systems.

A Computer Simulation of Visual Recognition Performance

1983 ◽  
Vol 27 (5) ◽  
pp. 349-353
Author(s):  
Valerie J. Gawron ◽  
K. Ronald Laughery ◽  
Charles C. Jorgensen ◽  
Joseph Polito
Keyword(s):  
Computer Simulation ◽  
Visual Recognition ◽  
Human Performance ◽  
Recognition Performance ◽  
Time On Task ◽  
Target Speed ◽  
Air Defense ◽  
Independent Variables ◽  
Operator Performance ◽  
Defense Systems

As part of an ongoing program to develop computer models of human performance (MOPADS, Model of Operator Performance in Air Defense Systems), a computer model of visual recognition performance was developed. The model predicts the probability of an observer detecting and recognizing a target as a function of several independent variables. The values of these variables can be defined by the user (e.g., number of observers, observer's time on task) or be provided from an ongoing simulation of an air defense scenario (e.g., distance to target, target speed).

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