Interactivity Theory: Analyzing Human Environments Using Linear Prediction Filters

Abstract

Analyses of complex interactive human environments pose analytic difficulties for commonly used methods. Linear prediction filters were selected as a methodology that could realistically reflect the characteristics of an interactive environment and conform to appropriate scientific criteria: empiricism, replication, prediction, and parsimony. Filters were compared to related linear models (e.g., ANOVA, path analysis). Scientific criteria were used to identify weaknesses in interactive applications of traditional linear methods. A multichannel linear prediction filter was derived and integrated with a measurement model, producing time-series factor analysis. The model was applied to data showing a long term cyclical relationship between promotion rates in the U.S. Army and survey measures of company effectiveness.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1985
Accession Number
ADA172066

Entities

People

  • Roland J. Hart
  • Stephen C. Bradshaw

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computational Science
  • Data Science
  • Databases
  • Estimators
  • Factor Analysis
  • Information Processing
  • Information Science
  • Knowledge Management
  • Mathematical Filters
  • Network Science
  • Plastic Explosives
  • Psychology
  • Social Psychology
  • Social Sciences
  • Statistical Algorithms
  • Surveys

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation