A METHOD FOR SYSTEM TASK ANALYSIS USING STATISTICAL DECISION THEORY.

Abstract

For system tasks involving detection, a method is presented by which statistical decision theory may be used to derive limiting conditions for adequate operator performance from results obtained in an abstract laboratory task. The limiting conditions may then serve as a basis for making design decisions regarding functions allocation and for specifying operating rules and requirements. The method is illustrated with a collision-prediction task, where two visually displayed objects move on converging paths, in which previous research suggests that performance depends on the ability to detect a nonzero rate of change in the relative bearing between the two objects. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 12, 1965
Accession Number
AD0621999

Entities

People

  • Alvin S. Cooperband
  • Lawrence T. Alexander

Organizations

  • System Development Corporation

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Collisions
  • Data Science
  • Decision Theory
  • Detection
  • Information Science
  • Interdisciplinary Science
  • Statistical Decision Theory
  • Task Performance And Analysis

Fields of Study

  • Mathematics

Readers

  • Artificial Intelligence
  • Database Systems and Applications
  • Regression Analysis.