Ability of the Vericator to Detect Smugglers at a Mock Security Checkpoint

Abstract

This study assessed the ability of Vericator(TM), a computer-based system that evaluates credibility through speech, to detect smugglers at a mock security checkpoint. A U.S. Federal inspector questioned participants while Vericator assessed their credibility. For some (N=77), the inspector followed a script of questions without follow-up (Scripted); for the remainder (N=93), follow-up questions were permitted (Field-like). Smuggling base rates were 34% and 35%, respectively. Few smugglers were correctly identified at the checkpoint (3 of 26 and 6 of 33, respectively) while many non-smugglers were correctly identified (41 of 51 and 47 of 60, respectively). Subsequent analyses produced widely disparate results but indicate that future improvements may be possible. However, the use of Vericator at security checkpoints is not supported at this time.

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Document Details

Document Type
Technical Report
Publication Date
Feb 24, 2003
Accession Number
ADA411910

Entities

People

  • Andrew H. Ryan Jr.
  • Stuart M. Senter
  • Troy E. Brown

Organizations

  • United States Department of Defense

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Applied Psychology
  • Chi Square Test
  • Computers
  • Crime
  • Department Of Defense
  • Governments
  • Information Science
  • Larynx
  • Psychology
  • Regression Analysis
  • Security
  • Security Personnel
  • South Carolina
  • Statistical Tests
  • Stress Analysis
  • United States Government

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