Date of Award

Spring 2004

Document Type

Thesis - Open Access

Degree Name

Master of Science in Human Factors & Systems

Department

Human Factors and Systems

Committee Chair

Steve Hall, Ph.D.

Committee Member

Shawn Doherty, Ph.D.

Committee Member

Cass Howell, Ph.D.

Abstract

The purpose of this study was to evaluate the learning curve associated with complex flight behavior for both conventional and synthetic vision systems (SVS). The objective was to assess potential differences in learning curves and subjective workload. Workload data across trials indicated a negative linear trend, with a significantly lower level of workload on the synthetic vision display compared to conventional instruments. Levels of performance were significantly higher in the SVS condition, and revealed a quadratic trend, supporting the hypothesis that skill acquisition occurs faster while training with the SVS. These differences in learning and workload curves have implications for the development of training curricula as well as certification guidelines.

Share

COinS