Detecting Deception in the Wilderness: A Proposal of Warfare Integrated Lie Detection System (WILDS)

Abstract

Currently, the Marine Corps and the Department of Defense do not leverage human-machine team pairing during the collection of human intelligence. Consequently, they may miss or not exploit key information gained from human sources during times of both peace and war. This research aims to examine the viability of leveraging human-machine team pairing during intelligence gathering operations with particular focus on detecting human deception. It provides an in-depth overview of the current unclassified practices used to detect deception, evaluates the viability of incorporating emerging technologies, and proposes an operator function model and employment model for a human-machine team pair to improve deception detection performance during enemy prisoners of war interviews.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2021
Accession Number
AD1150813

Entities

People

  • Ayesha Ahmad

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Computational Science
  • Computer Languages
  • Employment
  • Heart Rate
  • Human Behavior
  • Human Intelligence
  • Information Science
  • Information Systems
  • Intelligence Collection
  • Military Applications
  • Natural Language Processing
  • Neural Networks
  • Personnel Management
  • Psychiatry
  • Psychology
  • Supervised Machine Learning

Fields of Study

  • Computer science

Readers

  • Military History / Militaries and War Studies
  • Sensor Fusion and Tracking Systems.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.