Founding Members

EvaPuntero,CRIDAR&DEngineer

Psychological Modelling to supportautomation assessment

Madrid9ofMarch2017

AUTOPACE:Psychological Modelling to support automation assessment 2

AUTOPACEObjectives

ResearchonaPsychologicalModeltopredicthowautomationwouldimpacton

humanperformance

Researchontherequiredcompetencesandtrainingtoensureperformanceathigh

automatedenvironments

AutomationFeatures

MentalWorkload

ArousalLevels

CompetencesandTraining

Automationfeatures

ATCOresponsibilities

andtasksATCcurricula

Personnelselectionprocess

HumanPerformance

RequiredCompetences&

Training

AUTOPACE:Psychological Modelling to support automation assessment 3

ProblemaddressedbyAUTOPACENecessity to predict andproperly addresss undesired automation effects :

…inFuturehighautomationEnvironments

NominalScenario1–

HighAutomation

Non-nominalSituation1.1

ConflictDetectionandResolutionfails

Non-nominalSituation1.2ComplexityManagementSystemfails

Non-nominalSituation1.3

SystemSupported

Coordinationfails.

NominalScenario2–Medium

Automation

Non-nominalSituation2.1

ConflictDetectionandResolutionfails

Non-nominalSituation2.2ComplexityManagementSystemfails

Non-nominalSituation2.3

SystemSupported

Coordinationfails.

BaselineScenarioCurrent

Automation

AUTOPACE:Psychological Modelling to support automation assessment 4

Solutionproposedtofacilitatehuman-automationintegration(1/2)

Apply pshycologicaltheories to predict

effects ofautomationon human

performance

Definecompetencesandtrainingtooperate inhighautomation

Peform safetyhazardassessment based on

pshycologicalmodelling

Classical Theory(Kanemanh,1974):AUTOMATIONonlyaffectsdemandedresources

MalleableAttentionalResourcesTheory(YoungandStanton,2002):AUTOMATIONaffectsDemanded ANDAvailable Resources

AUTOPACE:Psychological Modelling to support automation assessment 5

FutureConceptofOperations

ControlEvents

ControllerActions

CognitiveResources

TrainingforCompetence

Solutionproposedtofacilitatehuman-automationintegration(2/2)

Behaviouralprimitives– Basicpsychologicalelements

ControllerActions– ElementalunitsinwhichATCo behaviour canbedivided

ControlEvents– Occurrencethattriggersthecontrolleractivity

TYPICALCONTROLSITUATIONS– Actionsperformedtoachieveaparticulargoal

Perceiving

Comprehending

Projecting

SITUATIONAWARENESS

DECISIONPROCESSES

New

Respo

nsibilitie

sLevelofactivation

AVAILABLERESOURCES

Engagement

OPERATIONALENVIRONMENT

SYSTEMS

PERSONNEL

Actors&Roles

Responsibilities

AutomationLevel

New

ATCoTask

DemandedResources

AUTOPACE:Psychological Modelling to support automation assessment 6

Approachusedtoassesshumanperformance(1/2)

AUTOPACE:Psychological Modelling to support automation assessment 7

Approachusedtoassesshumanperformance(2/2)

MentalWorkload Evaluation

• NominalSituations

Complexity Failure High

Complexity Failure Medium

Fuctional structure ofthe Demanded Resources Level ofActivation andEngagement

• Non-NominalSituations

AUTOPACE:Psychological Modelling to support automation assessment 8

AUTOPACEConsortium

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CIMYC - Center of Research Mind, Brainand Behaviour.- Faculty of PsychologyUniversity of Granada

AlmaMaterStudiorumUniversityofBologna

GINA - Air Navigation Investigation GroupTechnical School of Space and Aeronautics EngineersTechnical University of Madrid.

Reference Centre for Research, Development and Innovation in ATM

ThisprojecthasreceivedfundingfromtheSESARJointUndertakingundertheEuropeanUnion’sHorizon2020researchandinnovationprogramme undergrantagreementNo699238

Thank you very muchforyour attention!