Detecting Deception in the Military Infosphere: Improving and Integrating Human Detection Capabilities with Automated Tools

Abstract

This 5-year project conducted principally by University of Arizona, Florida State University, Michigan State University, and Air Force Institute of Technology, reports results of (1) theoretical development on a model of interactive deception, (2) laboratory and field testing to identify reliable indicators of deceit and variables that moderate those effects, (3) identification of cognitive biases that adversely impact human deception detection, (4) development of a prototype suite of tools - Agent99 - for automatically identifying linguistic, vocal and visual indicators of deceit, (5) development of a curriculum and computer-based system for delivering training in deception detection, and (6) field testing of the prototypes and training. Several tools have been implemented, and lessons learned provide important guidance for future development of deception detection tools and procedures.

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Document Details

Document Type
Technical Report
Publication Date
Apr 25, 2007
Accession Number
ADA469246

Entities

People

  • David Biros
  • Jay F. Nunamaker Jr.
  • Joey George
  • Judee K. Burgoon

Organizations

  • University of Arizona

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Cyber
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Cognition
  • Computational Science
  • Computer Programming
  • Computers
  • Control Systems
  • Data Mining
  • Databases
  • Distance Learning
  • Employment
  • Information Processing
  • Information Science
  • Information Systems
  • Knowledge Management
  • Natural Language Processing
  • Psychology
  • Students

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Instructional Design and Training Evaluation.
  • Software Engineering.