The Use of Behavior Models for Predicting Complex Operations

Abstract

Modeling and simulation (M&S) plays an important role when complex human-system notions are being proposed, developed and tested within the system design process. National Aeronautics and Space Administration (NASA) as an agency uses many different types of M&S approaches for predicting human-system interactions, especially when it is early in the development phase of a conceptual design. NASA Ames Research Center possesses a number of M&S capabilities ranging from airflow, flight path models, aircraft models, scheduling models, human performance models (HPMs), and bioinformatics models, among a host of other kinds of M&S capabilities that are used for predicting whether the proposed designs will benefit the specific mission criteria. The Man-Machine Integration Design and Analysis System (MIDAS) is a NASA ARC HPM software tool that integrates many models of human behavior with environment models, equipment models, and procedural / task models. The challenge to model comprehensibility is heightened as the number of models that are integrated and the requisite fidelity of the procedural sets are increased. Model transparency is needed for some of the more complex HPMs to maintain comprehensibility of the integrated model performance. This will be exemplified in a recent MIDAS v5 application model and plans for future model refinements will be presented.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2010
Accession Number
ADA553678

Entities

People

  • Brian F. Gore

Organizations

  • National Aeronautics and Space Administration

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Traffic
  • Air Transportation
  • Aircraft Models
  • Aircrafts
  • Computer Programming
  • Control Systems
  • Engineering
  • Environment
  • Flight Paths
  • Human Behavior
  • Human Systems Integration
  • Human-Computer Interaction
  • Human-Machine Systems
  • Models
  • Motor Skills
  • Simulations
  • Transparencies

Readers

  • Computational Modeling and Simulation
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Software Engineering.

Technology Areas

  • Space