Modeling information processing components and structural knowledge representations in pilot judgment

This study contrasts high-time and low-time pilot judgment performance, using information processing components and knowledge representations in long term memory (LTM) as individual difference measures to predict performance. The objective was to determine which of these two classes of measures predicted pilot judgment performance for groups of varying levels of experience. Thirty pilots (15 high-time and 15 low-time) completed a cognitive capabilities assessment battery. This assessment battery was comprised of two components: domain-independent information processing measures, and measures of domain-specific knowledge representations. These pilots then flew MIDIS, a microcomputer-based decision flight simulator, on a simulated cross-country flight. Each pilot's performance on a number of in-flight decisions was assessed throughout the course of this flight. No significant differences in absolute performance level were observed between high-time and low-time pilots, however the pattern of ability differences that predicted low-time pilot performance was different from that which predicted high-time performance. Specifically, high-time pilot performance was better-predicted by measures of domain-specific knowledge representations. Differences in predictor patterns suggest qualitative differences in decision-making strategies used by the two cohorts.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Psychology

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Barnett, Barbara Jo

Contributors dc:contributor

• Wickens, Christopher D.

• Psychology, Experimental

Statement dc:rights

• Copyright 1989 Barnett, Barbara Jo

Language dc:language

eng

Identifier

AAI8924765
(UMI)AAI8924765

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/20890