The Effects of a Pathway-in-the-Sky Display on Performance of a Two Axis Tracking Task by Instrument Rated Pilots

<p>This study was founded on the premise that airplane cockpit operations, while generally safe and relatively efficient, can be made even more so by employing instrument displays which are potentially more intuitive than existing displays. A low fidelity flight simulator was used to conduct an experiment comparing the performance of twenty-four instrument rated pilot subjects on a two axis tracking task (an Instrument Landing System Approach) under three instrument display conditions: (1) conventional instruments (INST); (2) a Pathway-in-the-Sky (PITS) display; and (3) a combination of the two (BOTH). The primary hypothesis, that pilot performance using the PITS and BOTH display configurations would be more accurate than when using conventional instruments, was accepted. The results indicated that no significant difference existed between performance under the PITS and BOTH conditions; however, performance was significantly better under either the PITS or BOTH conditions than under the INST condition. The study concluded that use of the PITS and BOTH displays yielded superior performance on the tracking task, and that if performance on the low-fidelity flight simulator is ever at all a predictor of performance in an actual aircraft, then the PITS and BOTH displays might yield superior performance in actual flight, potentially resulting in safer instrument flight operations.</p>

Name thesis:degree_name

Master of Aeronautical Science

Level thesis:degree_level

Thesis - Open Access

Discipline thesis:degree_discipline

Aeronautical Science

Year

1995

Author dc:creator

• Hennessy,, Leonard W., III

Contributors dc:contributor

• John A. Wise
• Mark W. Smolensky
• Jefferson M. Koonce

• instrument displays
• cockpit
• flight simulator
• two axis tracking
• Pathway-in-the-Sky
• Aviation
• Maintenance Technology

Repository record dc:identifier

https://commons.erau.edu/db-theses/79

OAI identifier oai:identifier

oai:commons.erau.edu:db-theses-1114