Automated Communication Analysis for Interactive Situation Awareness Assessment

Abstract

The SBIR Phase I goals were to (1) to develop and eventually validate a computational model of shared Situation Awareness (SA) and (2) identify a potentially unobtrusive measure of SA for military teams. The following objectives were achieved in Phase I: (1) assess the potential teams and tasks (identify data collection and model validation needs); (2) assess and create the measures used in the model creation (review the modeling literature and select factors that are related to SA, mental models and shared cognition); (3) collect and analyze the data (data was gathered from three separate military exercises); (4) perform the Social Network Analysis (SNA) and create the shared SA model and (5) identify other factors that need to be included in the model to improve the SA prediction capabilities as well as identify model validation needs. Our research strives to create both a model of shared SA as well as an unobtrusive measure of SA. The model may be thought of as a low cost, unobtrusive, real-time measure of SA. By understanding the various factors that make up shared SA we can create a predictive model of SA using these factors as well as a real time measure of SA.

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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 2004
Accession Number
ADA427377

Entities

People

  • Cheryl A. Bolstad
  • Cleotilde Gonzalez
  • John Graham

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Cognitive Science
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Command And Control
  • Computer Programming
  • Computer Science
  • Databases
  • Human Factors Engineering
  • Human Systems Integration
  • Military Research
  • Military Science
  • Predictive Modeling
  • Psychology
  • Situational Awareness
  • Task Performance And Analysis
  • Teamwork

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Regression Analysis.
  • Systems Analysis and Design