Usability Evaluation of Indicators of Energy-Related Problems in Commercial Airline Flight Decks

• Published in: 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC) pp. 1 - 9
• Main Authors: Evans, Emory T., Kramer, Lynda J., Etherington, Timothy J., Daniels, Taumi S., Young, Steven D., Santiago-Espada, Yamira, Barnes, James R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-09-2019
• Subjects: aircraft state awareness; aviation safety; decision making; Energy state; flight deck automation; flight deck simulation
• ISSN: 2155-7209
• DOI: 10.1109/DASC43569.2019.9081647

A series of pilot-in-the-loop flight simulation studies were conducted at NASA Langley Research Center to evaluate indicators aimed at supporting the flight crew's awareness of problems related to energy states. Indicators were evaluated utilizing state-of-the-art flight deck systems such as on commercial air transport aircraft. This paper presents results for four technologies: (1) conventional primary flight display speed cues, (2) an enhanced airspeed control indicator, (3) a synthetic vision baseline that provides a flight path vector, speed error, and an acceleration cue, and (4) an aural airspeed alert that triggers when current airspeed deviates beyond a specified threshold from the selected airspeed. Full-mission high-fidelity flight simulation studies were conducted using commercial airline crews. Crews were paired by airline for common crew resource management procedures and protocols. Scenarios spanned a range of complex conditions while emulating several causal factors reported in recent accidents involving loss of energy state awareness by pilots. Data collection included questionnaires administered at the completion of flight scenarios, aircraft state data, audio/video recordings of flight crew, eye tracking, pilot control inputs, and researcher observations. Questionnaire response data included subjective measures of workload, situation awareness, complexity, usability, and acceptability. This paper reports relevant findings derived from subjective measures as well as quantitative measures.