Human Factors lab. - ONERA · 2017-06-09 · SystemControl & FlightDyn. Dept/ Piloting& Sim Rese...

SystemControl & FlightDyn. Dept/ Piloting& Sim ReseachUnit /HumanFactors

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Human Factors lab.Human Factors lab.

20062006

Office National d’Étudeset de Recherches Aérospatiales


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ONERA = Office National d’Études et Recherches AérospatialesONERA = Office National d’Études et Recherches Aérospatiales

ESASnecma

EU

ETW

DLRDPAC

DGACEPr

SUPAERO

CEATAir Force Academy

ONERA research centers :Châtillon, Palaiseau, MeudonToulouse, Fauga-MauzacLille, Modane-Avrieux,Salon de Provence

Thales EADS

CNES

MBDA

Alcatel Space

CNES

Astrium

Airbus

Eurocopter

Flight Test Center

Dassault

Large wind tunnels

Industrial partners

Governmental partners

CNRS

CNRS

Eurocontrol

CNRS, UPS

SAGEM

CNRT

NLR

INTA

CIRA

FOI

INRETS

UVHCDassault

SNPE

Thales SnecmaECL

The French Aerospace Research Center , created in 1946

Human FactorsHuman Factors

Dassault


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The Human Factors projectThe Human Factors project

� Created in 1998 at DCSD

� Formal Approaches of Human Factors for Flight Safety and

Performance.

� ~ 6 researchers (4 scientists, 2 PhD)

� ~ 10 publications/year, ~ 10 reports/year

� 1 simulation lab.: LIPS ��

� Formal models and techniques (AI..)

� Teaching (SUPAERO, UPS, EA, ENSTA…)


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The HF teamThe HF team

Research scientistsPhD students

Laurent chaudronDr, HDR

Patrick LE BLAYE

Nicolas MAILLEDr

Pascale BONNET

Florian CONSTANS2004-2007

(CDIN, Airbus)

Thierry COYE de BRUNELIS2005-2008 (Onéra)


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HF research contextHF research context

ProjectsProjects

(1) Lessons learnedREX-ASVUname MoU Nasa/Onera

(2) Pro-active AssistanceGHOSTPAUSAPAVEPIROLFlySafe

(3) Evaluation, HCISEFAHUDLIPS Venus

SpecialitiesSpecialities PartnersPartners

InternationalNASAECAEREAAirlines

NationalDGADGACIMASSAAir ForceAirbusThalès

RegionalUniversitiesSupaéro, EAInsermMidi-Pyrénés

Formal ModelsActivity (CUBES)Analysis (Galois Lattices)

ExperimentsSolutionsSimulationsOn the fieldMicro-worlds

Publishing

Teaching


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ProjectsProjects










Publishing

Teaching

“What”

“Why”


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ProjectsProjects










Publishing

Teaching

“What”

“Why”

“How”


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HF research at OneraHF research at Onera

⇒⇒⇒⇒⇒⇒⇒⇒ ImproveImprove safetysafety & & efficiencyefficiency

procedures

training

Eventsanalysis

equipments

Aero-questions?Green Amber Red

Experimentsolutions!

Definition ofpro- and counter-measures

DeviationsDetection

ActivityTracking

Activity Modelling


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Two flows of data for flight safety:- flight data recorders (and analysis)- reporting means (and analysis)

Military or Civil Flights

FDR

Flight p

arameter

sEve

nts reports

OBSERVABLE data (but:heterogeneous)

The question is: How to ASSESS:

theWHAT?TheWHY?

Today Drawbacks: ¤ partial assessment of the « What? »¤ difficulties to automate the « Why » mining¤ differences between civil and military ¤ difficulties to merge FDR and Reports

Lessons learned: REX-ASV and UNAMELessons learned: REX-ASV and UNAME


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Sub-representation and analysis of deviations

(~ Airfase, APMS…)

« What’s that?!?… 10 m to WP 4? »

« - well… airbrakes. »« - mm yes. »

« - ..was looking at something else, sorry… »

Descriptive Model of Activity(math based on the CUBES lattice)Chaudron & Maille, 2003

restricted model of deviations

Partial matching:ACTIVITY

PARAMETERS

1998 -> 1999 : State of the Art (DGA funding)2000 -> 2003 : Formal model of activity (Onera funding)2003 -> 2006 : Experiments in the Field (Nancy, Creil), prototypes

1998 -> 1999 : State of the Art (DGA funding)2000 -> 2003 : Formal model of activity (Onera funding)2003 -> 2006 : Experiments in the Field (Nancy, Creil), prototypes

Lessons learned: REX-ASVLessons learned: REX-ASV

IMASSA


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Flight data LOAS reports

APMS

vs

¤ Complementarities of the tools

¤ New functionalities ¤ Global Analysis

Events Context parameters

Kontex

UNified Analysis of Major aeronautical EventsUNified Analysis of Major aeronautical Events

Lessons learned: UNAMELessons learned: UNAME


12 Pro-Active Assistance: the GHOST projectPro-Active Assistance: the GHOST project1998 -> 2001 : Studies on Conflicts (Chaudron & Tessier)

2000 -> 2004 : Master and PhD Pilot Conflicts (F. Dehais)

2002: identification of focal problem: Perseveration Syndrom

Cause 40% of casualtiesin aero accidents (BEA 2002)

-> representation, -> tracking -> detection, -> prediction, ..-> Counter-measures!… avoid accident with GHOST :

1) « Perseverogen » Missions 2) Pilot Activity Tracking

3) Conflicts Identification

4) Countermeasures!!

Pilot 1 crash

Pilot 2 crash

Pilot 3 incident lndg


Pilot 5 crash


Pilot 7 crash

Pilot 8 crash

Without countermeasures

Pilot 9 safe rerouting





Pilot14 safe rerouting





With countermeasures


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perception

reasoning

memory

action

Task difficultyTask difficulty

Performance of the Human Operator : the VENUS projectPerformance of the Human Operator : the VENUS project

Performance levelPerformance level

2000 -> : Thesis on Cognitive Performance (Laurent BAYSSIE)2001: « Bourget ’01, Noise/Brain/Annoyance »Experiment

2004 : Complexity <-> Performance in cockpits

=complexity / time

=% success / reaction

Contribute to 70% of majoraeronautical events (Nasa 2000)

Inadequate data in the cockpit

Results (Venus 2004 2005):simpler data in the cockpit may be worse !!

Task Difficulty

Performance

Eucalepiceffect


14LIPS : a Laboratory for Pilot-System Interaction studiesLIPS : a Laboratory for Pilot-System Interaction studies

� An open and flexible human-in-the-loop simulation environment

� Several pilots & copilots, one

observer / controller position

� Scenarios involving autonomous

and/or controlled aircraft

� Scene visualization, head up and

head down displays

� Several models available : transport

& fighter a/c, rotorcraft, sensors,...

� Simulation recording for analysis

� PC based, distributed architecture


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Involvement in European projectsInvolvement in European projects

� SEFA (2004-2007) Sound Engineering For Aircraft

� Formal analysis of the relationships between actual aircraftnoises and their perception by the inhabitants

� Uses Galois lattices (ONERA methodology)

� FLYSAFE (5 years Integrated Project) :

� New Generation Integrated Surveillance System facing weather, traffic & terrain hazards

� ONERA involved in Intelligent Crew Support, Strategic Data Consolidation and System Safety Assessment

��SEFA

FLY AFE


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HF at ONERA...HF at ONERA...

Looking forward

to meet you

in the Onera HF Lab.

of Salon-de-Provence!...

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Human Factors lab. - ONERA · 2017-06-09 · SystemControl & FlightDyn. Dept/ Piloting& Sim Rese...

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