Identifying the paths of activated failures of human-automation interaction on the flight deck

Date

2016-09-01

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Aeronautical and Astronautical Society of the Republic of China

Department

Type

Article

ISSN

1990-7710

Format

Free to read from

Citation

Wen-Chin Li, Matthew Greaves, Davide Durando and John J. H. Lin. Identifying the paths of activated failures of human-automation interaction on the flight deck. Journal of Aeronautics, Astronautics and Aviation, 2016, Volume 48, Issue 3, 163-171

Abstract

Cockpit automation has been developed to reduce pilots’ workload and increase pilots’ performance. However, previous studies have demonstrated that failures of automated systems have significantly impaired pilots’ situational awareness. The increased application of automation and the trend of pilots to rely on automation have changed pilot’s role from an operator to a supervisor in the cockpit. Based on the analysis of 257 ASRS reports, the result demonstrated that pilots represent the last line of defense during automation failures, though sometimes pilots did commit active failures combined with automation-induced human errors. Current research found that automation breakdown has direct associated with 4 categories of precondition of unsafe acts, including ‘adverse mental states’, ‘CRM’, ‘personal readiness’, and ‘technology environment’. Furthermore, the presence of ‘CRM’ almost 3.6 times, 12.7 times, 2.9 times, and 4 times more likely to occur concomitant failures in the categories of ‘decision-errors’, ‘skill-based error’, ‘perceptual errors’, and ‘violations’. Therefore, CRM is the most critical category for developing intervention of Human-Automation Interaction (HAI) issues to improve aviation safety. The study of human factors in automated cockpit is critical to understand how incidents/accidents had developed and how they could be prevented. Future HAI research should continue to increase the reliability of automation on the flight deck, develop backup systems for the occasional failures of cockpit automation, and train flight crews with competence of CRM skills in response to automation breakdowns.

Description

Software Description

Software Language

Github

Keywords

Accident Investigation, Automation Surprises, Cockpit Design, Decision Aids, Human-Automation Interaction, Human Factors

DOI

Rights

Attribution-NonCommercial 4.0 International

Relationships

Relationships

Supplements

Funder/s