Putting Risk Assessment in the Pilots’ Hands: Refining a Cognitive Health Assessment Tool for Aviators

Cognitive factors like poor situational awareness or memory failures can causeserious incidents, especially in single-crew operations. This work introducesCANFLY, an on-demand, self-administered online cognitive assessment for pilots,using realistic flight scenarios and interactive tasks. CANFLY targets key cognitivedomains for safe flight: situation awareness, prospective memory, and taskmanagement. Accessible from any internet-connected computer with speakers,CANFLY currently takes 50 minutes, but reducing this by 50 percent couldenhance user experience and adoption. Preliminary machine learning results from47 licensed pilots show that responses to short “flight” scenarios testing levels 1and 2 situational awareness and prospective memory can classify risk with over 80percent accuracy. Challenges and opportunities in using self-reported data (e.g.,incidents and mishaps) for risk classification are explored. This work aims to helppilots, screeners, and medical examiners make informed decisions about flightreadiness throughout a pilot’s career.

Publication Details

Journal
Journal of Bioresource Management
Published
2025-01-01
Primary Topic
Human-Automation Interaction and Safety
Type
article
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article

Putting Risk Assessment in the Pilots’ Hands: Refining a Cognitive Health Assessment Tool for Aviators

Journal of Bioresource Management
Human-Automation Interaction and Safety
article

Putting Risk Assessment in the Pilots’ Hands: Refining a Cognitive Health Assessment Tool for Aviators

article en

Abstract

Cognitive factors like poor situational awareness or memory failures can causeserious incidents, especially in single-crew operations. This work introducesCANFLY, an on-demand, self-administered online cognitive assessment for pilots,using realistic flight scenarios and interactive tasks. CANFLY targets key cognitivedomains for safe flight: situation awareness, prospective memory, and taskmanagement. Accessible from any internet-connected computer with speakers,CANFLY currently takes 50 minutes, but reducing this by 50 percent couldenhance user experience and adoption. Preliminary machine learning results from47 licensed pilots show that responses to short “flight” scenarios testing levels 1and 2 situational awareness and prospective memory can classify risk with over 80percent accuracy. Challenges and opportunities in using self-reported data (e.g.,incidents and mishaps) for risk classification are explored. This work aims to helppilots, screeners, and medical examiners make informed decisions about flightreadiness throughout a pilot’s career.

Journal of Bioresource Management
Openalex Percentile: Top 42%
Human-Automation Interaction and Safety
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