Providing Agility in C2 Environments Through Networked Information Processing: A Model of Expertise

Abstract

The amount of information and the diversity of sources of information in tactical environments continue to grow, increasing the requirement of intelligence analysts to filter the valuable information from the noise. Information is often gathered by individuals of differing expertise in a given topic area. Furthermore, it might be inherently more difficult to determine signal from noise in some topics. Hence, it would be crucial to understand how both the level of expertise and the level of difficulty of a problem impact the ability of a person to correctly classify it. By understanding the distribution of errors, it is possible to create methods to overcome them. To accomplish this, we analyze the results of an experimental study and develop a mathematical model for expertise. To the best of our knowledge, no such model exists. Based on this model, we show how we can develop an agent simulation that mimics the expected performance of a human agent under different conditions.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2014
Accession Number
ADA606760

Entities

People

  • Damon Abraham
  • Jennifer Mangels
  • Jin-Hee Cho
  • Kevin C Chan
  • Ksenia Lila
  • Olta Hoxha
  • Sibel Adali

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Accuracy
  • Analysts
  • Artificial Intelligence
  • Command And Control
  • Computational Science
  • Computer Science
  • Databases
  • Information Exchange
  • Information Processing
  • Information Science
  • Information Systems
  • Mathematical Models
  • Models
  • Network Science
  • Psychology
  • Statistical Analysis
  • Statistics

Fields of Study

  • Computer science

Readers

  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.