Accession Number:

ADA446167

Title:

Pilot Dependence on Imperfect Diagnostic Automation in Simulated UAV Flights: An Attentional Visual Scanning Analysis

Descriptive Note:

Corporate Author:

ILLINOIS UNIV AT URBANA SAVOY

Report Date:

2005-01-01

Pagination or Media Count:

7.0

Abstract:

An unmanned air vehicle UAV simulation was designed to reveal the effects of imperfectly reliable diagnostic automation a monitor of system health parameters on pilot attention, as the latter was assessed via visual scanning. Four groups of participants flew a series of legs under different automation conditions a baseline no automation control, and automation which was either 100 reliable, 60 reliable with a low-threshold bias to produce false alerts, and 60 reliable with a high threshold to produce misses. A high workload mission completion task and ground surveillance task were simultaneously imposed. Consistent with the reliance-compliance model of imperfect automation developed by Meyer 2001, miss-prone automation removed visual attention from the surveillance task, while FA-prone automation delayed the alert-driven attention shift to the system monitoring task.

Subject Categories:

  • Pilotless Aircraft
  • Anatomy and Physiology
  • Psychology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE