Evaluation of an Adaptive Automation Trigger Based on Task Performance, Priority, and Frequency

Abstract

A significant Air Force research thrust includes increasing use of automation, creating the potential for the operators to become complacent and over-reliant on automation. To avoid operator complacency, adaptive automation has been proposed, where changes in automation are triggered based upon operator performance or other attributes. This research sought to understand the effect of a weighted method for triggering changes in automation as compared method weighting all tasks equally. In this work, the weighted method considered operator performance, priority, and frequency of each task when computing a measure on which to trigger changes in automation. Although overall system performance was not statistically different between the two system implementations, the participants with the priority based triggering scheme tended to rate the LOA changes as more aligned with their actual performance and were significantly less surprised by the actions of the automation than those participants with the non-weighted approach. The results of this study, combined with participant preference for workload based adaptations, suggest a benefit to the implementation of a hybrid approach. Future research could focus on task weights based on priority and operator specific threshold criteria, where automation aides are triggered once the summation of current tasks exceeds the given threshold.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2013
Accession Number
ADA582146

Entities

People

  • Crystal A. Miller

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Automation
  • Autonomous Systems
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Command And Control
  • Control Systems
  • Human Factors Engineering
  • Human Supervisory Control
  • Human-Machine Systems
  • Psychology
  • Reliability
  • Situational Awareness
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Unmanned Vehicles

Readers

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