Evaluation Methods for Human-System Performance of Intelligent Systems

Abstract

Intelligent systems are becoming more and more of a reality but with the exception of very special purpose systems, completely autonomous systems are not yet the norm. In reality, we need to have humans who monitor the systems, intervening when necessary. As systems increase in intelligence, the goal for human-in-the-loop activities should not be to eliminate the human, but rather to create a human-system partnership with greater capabilities than the individual components. We currently view intelligent systems and the operators or supervisors of these systems as separate components and conduct evaluations in the same vein. For intelligent systems to become more useful and acceptable, we need to consider the "system" as a synergistic composition of software behaviors, possibly embedded in a physical component such as a robot, and the human interacting with this virtual or physical component. Our objective is to design this team interaction in such a way that the intelligence of the team is greater than the intelligence of any one of the parts.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2002
Accession Number
ADA517868

Entities

People

  • Jean Scholtz

Organizations

  • National Institute of Standards and Technology

Tags

DTIC Thesaurus Topics

  • Automobiles
  • Cognitive Systems Engineering
  • Computers
  • Control Systems
  • Human Systems Integration
  • Human-Computer Interaction
  • Human-Machine Interaction
  • Human-Machine Interfaces
  • Human-Robot Interaction
  • Intelligent Systems
  • Language
  • Simulations
  • Situational Awareness
  • Standards
  • Test And Evaluation
  • User Interface

Fields of Study

  • Computer science

Readers

  • Aerospace Test and Evaluation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction