Human Factors Evaluation of Advanced Video Activity Analytics (AVAA) Functionality

Abstract

The Advanced Video Activity Analytics (AVAA) system is a full-motion video exploitation capability designed to reduce imagery analyst workload and enable faster and more-accurate production of intelligence products. Phase II of the human factors evaluation examined the impact an automated person vehicle object (PVO) computer vision algorithm pipeline had on imagery analysts cognitive workload and performance during realistic scenario-based operations. The results from multiple measures indicate that AVAAs PVO pipeline did not significantly affect the measures analyzed for performance, cognitive workload, or situation awareness as compared with the baseline AVAA system. However, analysts identified multiple usability recommendations for AVAA that would improve usability and follow-on development.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2018
Accession Number
AD1048161

Entities

People

  • Anthony J. Ries
  • Beth M. Plott
  • Elizabeth A. Wilson
  • Greg P. Morrow
  • Kristin M. Schweitzer
  • Patricia L. Mcdermott

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Cognition
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Computer Vision
  • Computers
  • Detectors
  • Electrocardiography
  • Full Motion Video
  • Human-Machine Interaction
  • Information Processing
  • Intelligence Products
  • Measurement
  • Psychology
  • Situational Awareness
  • Video
  • Workload

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML