Representing Autonomous Systems Self-Confidence through Competency Boundaries

Abstract

A method for determining the self-confidence of autonomous systems is proposed to assist operators in understanding the state of unmanned vehicles under control. A sensing-optimization/verification-action (SOVA) model, similar to the perception-cognition-action human informational processing model, has been developed to illustrate how autonomous systems interact with their environment and how areas of uncertainty affect system performance. LIDAR and GPS were examined for scenarios where sensed surroundings could be inaccurate, while discrete and probabilistic algorithms were surveyed for situations that could result in path planning uncertainty. Likert scales were developed to represent sensor and algorithm uncertainties, and these scales laid the foundation for the proposed Trust Annunciator Panel (TAP) consisting of a series of uncertainty level indicators (ULIs). The TAP emphasizes the critical role of human judgment and oversight, especially when autonomous systems operate in clustered or dynamic environments.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2015
Accession Number
ADA619158

Entities

People

  • Andrew R. Hutchins
  • M. L. Cummings
  • Mark Draper
  • Thomas Hughes

Organizations

  • Duke University

Tags

Communities of Interest

  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Altitude
  • Autonomous Systems
  • Boundaries
  • Command And Control Systems
  • Control Systems
  • Human-Robot Interaction
  • Information Processing
  • Measurement
  • Motion Planning
  • Navigation
  • Reasoning
  • Robots
  • Supervisory Control
  • Unmanned Aerial Vehicles
  • Unmanned Vehicles

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Human-Computer Interaction (HCI).
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Space
  • Space - Spacecraft Maneuvers