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This document outlines methods for extracting and applying applicable human performance metrics in the context of Air Traffic Management, focusing on workload, situation awareness, system monitoring, teamwork, trust, usability, and human error. It provides guidelines for balancing validation realism and data collection, choosing objective metrics based on factors like intrusiveness, cost, reliability, and validity. An example scenario on airborne spacing application is presented to demonstrate the framework's application.
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WP 3: Human Performance Metrics 10 Oct 2002 Brian Hilburn
Goals Extract set of ASAS applicable HumPerf Metrics Outline application methods (guidance) Provide primary references Mapped onto: - Application (eg Airborne Sep.) - Validation Type (eg Realtime, etc) - Agent (ATC vs Flightdeck) - Human Performance Area
Human Performance Areas • Workload • Situation Awareness • System Monitoring • Teamwork • Trust • Usability and User Acceptance • Human Error
Parallel WP2 (System Metrics) • SYSTEM versus HUMAN performance? • Distinction sometimes arbitrary • Performance Areas differ • Implicit links to Goals • human performance influences SAFETY etc
WP 3 Deliverable Fast t Real t Wrkld SA etc Obj Subj Air Ground ASAS f1 . . ASAS fn
Methods Literature review - ASAS sources (transatlantic FreeFlight) - ATM validation efforts (INTEGRA, RHEA,…) - Aviation Human Factors - Human Factors general Distillation of methods and metrics Guidelines Including general Measurement Issues
General Measurement Issues Validation test subjects Experimental design in validation Analytical techniques Balancing validation realism & data collection
Guidance: Literature Consensus and Expert Opinion... EXAMPLE
100+ Human Performance Metrics • NASA Task Load Index • Heart Rate Variability • Pupil Diameter • Human Computer Trust Scale • Auditory Choice Secondary Task Response Time • Situation Awareness Rating Technique • Blink latency • Choice Reaction Time secondary task • etc………...
Choosing a Metric • ObjectivityObjective / Subjective • IntrusiveHigh / Low • CostHigh / Low • ReliabilityHigh / Low • ValidityHigh / Low • UtilityHigh / Low • ExpertiseHigh / Low • ResourceHigh / Low
A Worked Example... • Given: Airborne Spacing application • (in-descent spacing scenario) • Controlled airspace • Study: Real time • Question: Transient workload peaks? • Issues: Time resolution, intrusiveness, cost
Conclusions • Link between System and Human Performance metrics • What are my goals? • Relationship to higher validation goals • Guidance, not a cookbook • Ideally used in conjunction w SYSTEM metrics