Human Performance Revision Slides 2011

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    Diploma in Aviation Medicine:Human Performance

    Revision June 11

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    Objectives of Aviation Psycholoy

    ! to enhance fliht safety

    ! to improve effectiveness

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    "hy is #here $nterest in Human Performance in Aviation%

    !   Aviation is a safety&critical operation!  Aircre' are subjected to many sources of stress!  Hih levels of human performance must be achieved (e))* fast jet pilots+!  Human error is heavily implicated in aviation accidents

     

    Main fatal accident causes in 1994 

    Accident cause  Accidents (%)  Fatalities (%)

     Air crew error 

     Controlled Flight into Terrain

     Weather  Loss of Control

     Engine FailureFire

     !tructural!"ste# Failure

     $

     &'

     & 14

     1$

     11

     $

     4&

     *4 &4

     '

     1&

     

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    ,-uipment. tas/s

    ,nvironment

    Other personnel

    Humanoperator 

    #he Human in the Aviation 0ystem

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    ontent of Human Performance Module

    General Principles

    ! $ntroduction to Human Performance Module

    ! 2undamentals of Human Performance

    ! $ndividual Differences

    ! 0ocial Psycholoy and Aviation

    !  A small amount of basic theory to help you to

    interpret the practical studies

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    ontent of Human Performance Module

    New this year!

    !  An early session on human error 

    ! 3to provide a conte4t for the module

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    ontent of Human Performance Module

    Personal & Environmental Factors

    0tress . "or/load in Aviation $0tress . "or/load in Aviation $$

    Perceptual $ssues in Aviation

    0ituation A'areness

    0election of Aviation Personnel

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    ontent of Human Performance Module

    Training and Simulation

    0imulation and #rainin

    2undamentals of RM #rainin

    Practical Aspects of RM . 5O2#

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    ontent of Human Performance Module

    Systems Factors

     Aviation ,ronomics $

     Aviation ,ronomics $$

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    ontent of Human Performance Module

    #he Human 2actor in Aviation Accidents

    0eminar: 2liht 0afety

     6 Prof Peter Jorna* former head of division at 75R

     Amsterdam

     Also an accident module at Henlo'* providin a conte4t

    for this module0ee also lectures on 0leep* 2atiue and 0hift&"or/in

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    ,-uipment. tas/s

    ,nvironment

    Other personnel

    Humanoperator 

    #he Human in the Aviation 0ystem: Relevance of Module #opics

    0election$ndividual

    Differences

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    ,-uipment. tas/s

    ,nvironment

    Other personnel

    Humanoperator 

    #he Human in the Aviation 0ystem: Relevance of Module #opics

    ,ronomics

    "or/load

    #echnical

    #rainin

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    ,-uipment. tas/s

    ,nvironment

    Other personnel

    Humanoperator 

    #he Human in the Aviation 0ystem: Relevance of Module #opics

    0tressPerception

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    ,-uipment. tas/s

    ,nvironment

    Other personnel

    Humanoperator 

    #he Human in the Aviation 0ystem: Relevance of Module #opics

    RM #rainin

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    ,-uipment. tas/s

    ,nvironment

    Other personnel

    Humanoperator 

    #he Human in the Aviation 0ystem: Relevance of Module #opics

    80ituation

     A'areness9and 8Human

    ,rror9 encompass

    all these interactions

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    Human $nformation Processin

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    Cognition

    Processes involved in the input* storae* transformation* andoutput of information by humans

    Main topics

    !  Memory

    !  ttention

    !  S"ills

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    Memory

    #hree major memory systems:

    ! 0ensory memory

    ! 0hort&term memory

    ! 5on&term memory

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    0ummary of properties of memory systems (inferred from classice4periments on memory+ learn this

    0ensory 0hort&term 5on&term

    apacity Hih ;±< chun/s no /no'nlimit

    Duration 1 sec 1=&1> sec permanent%

    #ype of storae Physical acoustic semanticcharacteristics

    7ature of retrieval parallel serial hierarchy%

    7ature of forettin decay?mas/ininterference failure of  retrieval

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     Attention

    Selective attention attend to one of several competin sources ofinformation

    #ivided attention attempt to attend to more than one information sourceor tas/ at the same time

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    Shadowing tas"an detect physical chanes on the unattended channel* but not semantic content

    #ichotic listening tas"

    Performance very poor 0ubjects tended to oranise their recall by ear* not by recency of presentation

    5ed @roadbent to propose Filter Theory) @ut* later sho'n that!  subjects tend to hear their o'n name on the unattended channel!  subjects tend to follo' the messae* even if it s'itches ears!  hence* there is semantic processin on the unattended channel

    Ho'ever* 'e can assume that reconition of unattended information isless li/ely than reconition of attended material

    Ma/e sure that you understand this

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    Divided attention

    ey -uestion:

    Does man have a sinle information&processin channel(all tas/s compete for the same 8resources9 or 8capacity9+

    or 

    specialised resources for particular types of activity%  (tas/s performed concurrently compete only if they dra' upon

      the same resources+

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    0ome support for the multiple resource theory: often* the deree of tas/ interference depends upon the similarity of the tas/s

    @ut: sometimes tas/s that are dissimilar are found to interfere

    @addeley9s 'or/in memory modelis a compromise bet'een e4tremesinle&channel and multiple&resourcevie's

    entral ,4ecutive

    Bisuo&spatialscratchpad

     Articulatory loop

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    0/ills (obviously relevant to trainin lectures+haracteristics!  typically a se-uence of activities

    !  oal&directed behaviour !  use of feedbac/

    0/ill ac-uisition

    #hree phases are sometimes distinuished:

    !  ,arly or conitive phase!  $ntermediate or associative phase!  2inal or autonomous phase

    $n the final phase* behaviour becomes automaticC deleated to thecontrol of 8motor prorams9 that do not re-uire conscious attention

    and do not place heavy demands for mental resources

    Many everyday errors (actions not as planned+ are associated 'ithoverlearned behaviour #hese errors involve 'ell&practised behaviour* but are inappropriate0ome aircre' errors are of this type

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    $ssues in s/ill ac-uisition

    !  "hole versus part learnin

    !  Massed versus spaced learnin

    !  #ransfer of trainin very important aspect of simulator&based trainin

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    $ndividual #i%%erences

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    #'o major types of individual difference covered:

       $ntellience?ability?aptitude

      Personality

      2actor Analysis:ma/e sure that you have a ood intuitive

    rasp of this: you don9t need to /no' the underlyin

    mathematics

      @asic psychometric criteria

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    $ntellience?ability?aptitude #hese are the /ey issues

      $ntellience: $nnate or learned%

      $ntellience: Ho' many abilities%

    !  #here is evidence for a eneral ability factor !  Ho'ever* specific abilities also appear to e4ist

      $ntellience: #he $ntellience uotient ($+

      Aptitudes

      #est 2airness

      $ntellience: Are $ tests valid%

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    Personality /ey issues

      #ypes of personality test:  $ntervie' (not reliable+  Projective tests  Personality -uestionnaires

      (discussed e4amples of each+

      $s there a 8pilot personality9%

      Does personality influence success in flyin trainin%

      $s there an 8accident&prone9 personality9%

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    Social Psychology

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    #ypes of social influence (can use this info for RM -uestions+

    Compliance: behaviour consistent 'ith direct re-uest!  foot&in&the&door phenomenon!  door&in&the&face phenomenon Con%ormity: behaviour consistent 'ith roup norms!  siEe of roup (up to about four+!  attractiveness and status of roup members!  $nformational influence (trustin others9 judements+ and normative

    influence (see/in roup acceptance+ 'edience to authority !  Milram e4periment!  FG of the = subjects administered shoc/s to the hihest level!  factors affectin obedience* such as status of e4perimenter*

    pro4imity to 8student9

    #hin/ about ho' this applies to small roups of interest to us*such as fliht cre' or teams of maintenance enineers

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    Group #ecision Ma"ing Polarisation

    ! "as thouht that roup decision ma/in 'as more ris/y

    than individual DM (8ris/y shift9+ I but became apparent

    that there is a shift in the direction of the pole that* on

    averae* the roup favours as individuals (polarisation+

    ! 0toner9s e4periments

    ! 7ormative and informational influences produce roup

    polarisation

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    Group #ecision Ma"ing Groupthin"! "or/ of Janis) @ased on real&life e4amples such as @ay of Pis (or* more

    recently* MPs9 e4penses+! Desire for consensus overrides roup members9 motivation to assess ris/

    and consider alternative courses of action

    ! Kroupthin/ occurs under the follo'in conditions:! Hih cohesiveness of the roup! ncertainty of approval! $nsulation of the roup! Directive leadership! Hih stress situations

    ! 0ymptoms include! $llusion of invulnerability! 0tereotypes of out&roup! 8Minduards9! Direct pressure on dissenters! ollective rationalisation

    ! ,ffects on decision ma/in:! $ncomplete survey of alternatives! $ncomplete survey of objectives! $ncomplete analysis of ris/s associated 'ith course of action! 7o continency plans

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    eronautical #ecision Ma"ing (#M)! "or/ of Jensen: decision error is cause of most fatal aviation accidentsC

    arued that decision ma/in can be improved throuh trainin

    ! Decisions have t'o components:! Rational judement (8Head'or/9+! Motivational judement (8Attitudes9+

    ! HaEardous attitudes:!  Anti&authority! Resination! $mpulsivity! $nvulnerability! Macho

    !  ADM courses aim to provide:!  Ability to reconise haEardous attitudes

    ! no'lede of effects of these attitudes! 0/ills to overcome the effects

    ! Methods! 0elf assessment tools! ,4amination of case studies! Practical ,4ercises

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    Perceptual $ssues in Aviation

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    Perception is the process o% ac*uiring+ selecting+ and organising

    sensory in%ormation

    #he most important perceptual processes for aviation are those associated

    'ith vision and hearin

    1 #he ear and the auditory system

     6 balance and the vestibular system

     6 localisation of sound and identification of source

    < #he visual system

     6 bottom&up processin

     6 top&do'n processin

     6 cues to depth perception

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    #he ear and the auditory system

    @alance) #he vestibular system of the inner eardetects anular and linear accelerations of the head

    Hearin) #o detect  sounds* to determine the location 

    of their sources and to recognise the identity of thesesources

    #he ear serves t'o main functions:

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    Practical implications

    @alance and the vestibular system

    Accelerating aircraft

    #he situation is aravated if the pilot attempts to compensate for an

    incorrect percept) Althouh feedbac/ from the vestibular system can

    be compellin* a pilot needs to learn to trust instrumentation)

    "ith reard to the otolith* the 'eiht force in a climbin aircraftoperates similarly to the resultant force in an acceleratin aircraft)

    "ithout visual feedbac/* pilots can mista/e acceleration for pitch)

    Ascending

    aircraft

    Weight force

    +nertia force

    ,esultant

    θ

    θ   

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    5ocalisation of soundAuditory perception

    $nteraural differences:

    !Intensity. Most suited to localisin

    hih fre-uencies

    !Time/phase) Most suited to

    localisin lo' fre-uencies)

    0ounds emanatin from directly in front and behind

    the head produce the same interaural differences)

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    Practical implicationsCoc"pit design

     6 #he coc/pit relies heavily on the presentation of

    visual information) Adoption of auditory sinals may

    reduce the 'or/load e4perienced by pilots in the

    visual domain)

    ,ocalisation o% auditory warnings

     6 0imilar soundin 'arnins emanatin from similar

    areas may cause confusion

     6 Adoption of 'hite noise bursts 'ithin ambulance

    sirens

     Auditory perception

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    "hat you see is 'hat you et%Bisual modality is obviously e4tremely important in aviation) @ut can 'e al'ays trustour eyes%

    #he visual scene is captured by the eye as a poor -uality* t'o&dimensional

    representation

    "hat is perceived is determined by:

    8@ottom&up9 processes) #he percept of a stimulus is determined by features of the

    stimulus as processed by the visual corte4

    8#op&do'n9 processes) #he interpretation (consciously or not+ of a stimulus can be

    determined by our e4perience and /no'lede

    $mportant distinction

    Bisual perception

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    $% the percept is generated

    deterministically ('ottom-up

    processing) %rom the visual

    corte. / / /

    / / / how can one distal (realworld) stimulus produce two

    percepts0

    1y a mental model  ur owne.perience and e.pectations

    help to determine what we see

    (top-down processing)

    Old or young women?

    Thirteen or ‘B’?Necker cube

    incoln or women?

    #op&do'n processesBisual perception

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    onverence 6 o% the eyes/

    0tereopsis

     6 disparity 'etween the

    two images/

     Accommodation 6 o% the lens/

    Retinal versus actual siEe

     6 %or "nown o'2ects/

    Overlap

     6 a near o'2ect willocclude the view o% a

    %ar o'2ect/

    Position in visual field 6 o'2ects nearer the hori3on

    are %arther away/

     Aerial Perspective

     6 clarity o% o'2ects is reduced

    at distance/ Relative motion

     6 angular velocity greater %or

    near o'2ects/

     All re-uire both bottom&up . top&do'n

    processin)

    Depth perception: learn thisBisual perception

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    44

    !  Position in visual %ield

    ! objects nearer the horiEon are farther

    a'ay

    ! Te.tual Gradient

    ! 0urfaces 'ill have a finer te4ture 'ith

    distance

    ! Stereopsis

    ! @inocular disparity bet'een the t'o

    imaes

    ! Convergence

    ! of the eyes

    ! cclusion! a near object 'ill occlude the vie' of a

    far object

    ! Perceptual constancy

    ! Retinal versus actual siEe

    !4elative motion

    ! anular velocity reater for near objects

    !  All re-uire both bottom&up . top&do'n

    processin)

    Ho' 'e perceive depth

    -now this

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    Featureless sur%aces+ or those with te.tures o% un"nownsi3es+ can produce inaccurate 2udgements o% si3e/

     6 Sea/

     6 1eehives %or caravans/

    Can produce an inaccurate mental model o% the situation

    which overrides the correct perception o% the instruments/

     6 Top-down in%luences/

     6 E.acer'ated 'y %atigue and wor"load/

    0ome perceptual problemsBisual perception

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    Pilots may have to visually 2udge the glide slope without

    any cues other than those %rom the sur%ace o% the world/

    The 5aspect6 (retinal shape) o% the runway is not very use%ul/

    7owever+ the !isual touchdown point  is a constant and

    unchanging cue+ relative to the hori3on/

    $% the hori3on cannot 'e seen+ its location must 'e implied+

     6 The runway6s sides meet at the hori3on/

     6 The terrain6s te.ture gradients/ 6 The relative position o% the aircra%t6s canopy/

    Practical implications: visual approach

    Bisual perception: /no' the practical implications (ne4t fe' slides+

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    Visualtouchdownpoint

    HORIZON

    A

    B

    Angle of Approach A = B

    Practical implications: visual approach (

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    θ = angle of

    approach

    Visualimpactpoint

    Α

    Actualtouchdownpoint

    Β

    Practical implications: visual approach (L+

    Bisual perception

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    $denti%ication o% a colliding aircra%t is con%ounded 'y8 6 Constant relative 'earing/

    ! "ni#ue characteristic.

    ! $eriphery o% retina detects sensiti!e to mo!ement.

     6 Non-linear increase in retinal si3e/

    ! &etinal image doubles with each hal!ing o% closure

    distance.

     6 9neven visual acuity across the retina/

    ! 'a(imal acuity at the %o!ea.

    ! )etection only i% pilot is looking directly at it.! Implications %or !isual scanning to ac#uire pro(imal

    image on the %o!ea.

    Practical implications: mid&air collisions

    Bisual perception

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    θ

    Aircraft A

    Impact

    θ Aircraft B R e l a

     t i v e  B e a r

     i n g

    Practical implications: mid&air collisions (

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    secs ! "#$ degree

    %#$ secs ! % degree

    "#% secs ! V&R' BI(

    Practical implications: mid&air collisions (L+

    Bisual perception

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    @ottom&up (information from our senses+ and top&do'n (e4pectationsand e4periences+ processes affect the 'ay 'e perceive the 'orld)

    #he resultant perception is often not a true reflection of the e4ternal

    'orld)

    #his can be advantaeous 'hen it is in our interest for differencesbet'een features in the e4ternal 'orld to be e4aerated but potentially

    catastrophic 'hen perceptual illusions lead us to ta/e inappropriate

    behaviour)

    0ummaryPerception

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    Ergonomics

    :hy 5Ergonomics60 ; Murrell

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    #he H0$ 2rame'or/ 6 seven domains 6 Manpo'er 

     6 Personnel

     6 #rainin 6 Human 2actors ,nineerin (a/a ,ronomics+

    ! "or/place desin

    !  Anthropometry

    ! ritical Dimensions

     6 0ystem 0afety

     6 Health HaEards 6 0ocial . Oranisational

    H0$ often called Human 2actors $nteration (H2$+ 6 H2$ is reallythe process by 'hich H0$ is applied to e-uipment procurement

    0ome people adopt a strict

    definition of eronomicsC

    others treat all of H0$ asbein 'ithin the scope of

    eronomics) ou 'ould not

    be penalised for adoptin

    the latter definition

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    #raic conse-uences

    -egworth.!! /incennes

    0erald of Free Enterrise

    Cherno2"l

    Three Mile +sland

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    7S$ #omains

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    7uman Factors Engineering

    (a"a Ergonomics)

    focused on the interation of human characteristics into system

    definition* desin* development* and evaluation to optimise

    human machine performance under operational conditions)

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    "or/places . interfaces

    oc/pits"or/stations

    ontrol rooms

    Offices

    #ransport systems

    2actories

    ontrolsDisplays

    omputer hard'are

    omputer soft'are

    Protective clothin

    Other people

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    Physical 'or/place desin

    $nputs re*uired %rom

     6 E7F

     6 Tas" analysis

     6 ,in" analysis

     6 llocation o% %unction

    Consider 

     6 perational and environmental conte.t 6 7uman dimensions

     6 1iomechanics and physiology

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    2unctional factors

    Tas" issues 6 Procedures 6 Critical elements

    4esponsi'ilities o% organisation and individuals Communications

     6 >er'al 6 Non-ver'al

    >isual issues+ such as sight lines Flows o% materials and personnel ccess and clearance

     6 Normal 6 Emergency 6 Maintenance

    Protection 6 Protective clothing & e*uipment 6 1arriers & guards

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     Anthropometry Physical human dimensions

    Population specific

    5inear dimensions* for e4ample:

     6 0tature

     6 2unctional reach

     6 0ittin heiht Kirth dimensions* for e4ample:

     6 "aist

     6 Head circumference

    ,ach dimension is e4pressed in terms of percentile

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    @e careful 'ith percentiles 'hen applyin

    anthropometry

    4e*uirements o%ten state ?must accommodate

    the @th percentile and the A@th percentile

    human?

    1ut+ these people do NT e.ist!

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    ritical dimensions

    hoose dimensions relevant to the 'or/station*

    posture* and tas/

     6 0ittin* standin* reach* fit* 'al/in* crouchin

    >th percentile (smaller+ dimensions considered for:

     6 0eat adjustment* reach* vision* control movement* foot

    rests

    N>th percentile (larer+ dimensions considered for:

     6 0eat adjustment* inress* fit* access* clearance

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    lothin

    lothin increases most dimensions throuh the

    addition of bul/

     6 e)) stature* sittin heiht* chest depth* shoulder

    breadth

    @ut

    Decreases the reach dimensions due to restriction of

    movement

     6 e)) functional reach* vertical functional reach

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    "hen to interate Human 2actors

    (Eurocontrol3 1999)

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    H0$ Desined to 2it MoD9s Ac-uisition Operatin

    2rame'or/ (AO2+ Policy and Kood Practice

    C#M$# cycle

    System 4eadiness ,evels(#EF STN BB-@B/ May BBD8 http==www/ao%/mod/u" 8 www/h%idtc/com )

    Mo# SP to 'e introduced later this year 

    Concet Assess#ent e#onstration Manufacture +n ser5ice isosal

    +nitial 6ate Main 6ate !"ste# Accetance

    0as now haened

    http://www.aof.mod.uk/http://www.hfidtc.com/http://www.hfidtc.com/http://www.aof.mod.uk/

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    0ummary

    H0$ covers all aspects of applied human factors

    Human 2actors ,nineerin is just one element that

    needs to be interated

    H0$ comprises tools and processes that fit 'ith

    systems enineerin

    H0$ is 'idely applicable

    ,arly inclusion is so much better than late

    intervention

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    0tress and "or/load

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    #ypes of stress

    !  5ife stress less important than the others in this conte4t* but be a'are of it 

    !  ,nvironmental stress 

    !  onitive stress 

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    5ife stress

    #ypically measured by -uestionnaire

    0ome correlation bet'een -uestionnaire scores and illness

    0ome evidence that life stress is associated 'ith accidents

    er/es&Dodson la': no' this

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    5evel of arousal

    Performance

    er/es&Dodson la': no' this

    $nverted relation bet'een arousal and performance

    Performance declines as arousal increases or decreasesfrom the optimal level

    #he optimal arousal level is inversely related to tas/difficulty

    Difficult

    tas/

    ,asy

    tas/

    ,nvironmentalstress

    -now this

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    2ear !  disruption of manual de4terity!  disruption of secondary tas/ performance

    7oise!  reater effect on difficult tas/s!  effect on error !  increased attentional selectivity!  effect on arousal (increases initially* then returns to normal+

    0leep loss!  periodic lapses!  decreased attentional selectivity!  reater decrement on 8easy9 tas/s!  decreased arousal

    Hypo4ia!  performance affected at over 1=*=== ft!  some evidence that tas/ learnin is affected at only Q*=== ft

    ombined stressors0leep loss and noise each impair performance in isolationHo'ever* noise improves the performance of sleep&deprived individuals

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    Patterns of effects of stressors (from Hoc/ey+

    0tressor Arousal 0electivity 0peed Accuracy 0#M

    7oise = & & An4iety = & &$ncentive 0timulants = &Heat = & = Alcohol & & & &0leep loss & & & & =2atiue& & & =Depressants & & & & &

    increase

    & decrease= no effect

    no need to memorise all this* but /no' that each stressor has its ownpattern o% e%%ects (cannot be e4plained by er/es&Dodson la'+

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    Personality and stressno' this

    #'o major dimensionsof personality are:neuroticism (trait an.iety)introversion-e.traversion

    $ntroverts are chronically over&aroused,4traverts are chronically under&aroused

     An arousin stressor (caffeine+ has different effects on these individuals

    #rait an4iety comprises 'orry and emotionality

    "orry appears to interfere 'ith tas/ performancePerformance of hih&an4iety subjects impaired under hih 'or/load

    ,vidence that personality influences success in flyin trainin

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    $s the er/es&Dodson la' ade-uate% no' this

    2or:

    !  an e4plain effects of combined stressors

    !  an e4plain some effects of personality

    !  an e4plain some effects of tas/ difficulty (e)) reater effect of sleep

      loss on easy tas/s+

     Aainst:

    !  Does not e4plain specific patterns of effects of individual stressors

    !  Does not e4plain effects on attention

    !  #oo fle4ible: does not lead to firm predictions

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    2actors influencin the effects of stressors /no' this

    !  #as/ difficulty

    !  #as/ duration

    !  Personality

    !  $ntensity of the stressor 

    !  Motivation

    !  $mportance of the tas/ component

    !  Presence of other stressors

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    :or"load (cognitive stress) "now this

    #ypes of 'or/load measure

    Su'2ective,4ample: 7A0A #as/ 5oad $nde4!  easy to obtain!  face valid!  unobtrusive!  subjects can readily -uantify their

    e4perience

    Physiological,4ample: heart rate variability!  do not disrupt performance!  often provide continuous record

    Per%ormance-'asedPrimary tas/ or secondary tas/(e)) time estimation+!  provide direct measure of operator

    performance

    !  difficult to establish 'hich -uestions toas/ (dimensions of 'or/load+

    !  difficult to compare different types of tas/!  ratins may not be correlated 'ith tas/

    performance

    !  e-uipment may be physically intrusive!  only indirect indication of performance

    !  operator may invest more effort tomaintain primary&tas/ performance

    !  choice of secondary tas/ is important

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    ,ffects of hih 'or/load

    !  operator is prone to actions not as planned: unable to monitor   activity fully!  increased attentional selectivity!  may respond -uic/ly but inaccurately!  may shed some sub&tas/s completely

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    0trateies for 'or/load reduction S/no' thisT

    hane the tas/:apply sound eronomic principlesautomate some functionsuse ne' technoloies

    hane the operator provide e4tensive trainin* to producemotor prorams (overlearnin+

    Personnel selection

    for e4ample* lo' trait an4iety may confer better ability to cope 'ith hih tas/ demands

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    0election

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     Aims:

      Decidin!  "hat to measure!  Ho' to measure!  ,ffectiveness of measures

    0 0 0

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    0taes in 0election 0ystem

    0pecify selection criteria

      0pecify assessmentmethods

    ,valuate

    (After Hunter . @ur/e 1NN>+

    #he *ystems +pproach to developin selectionprocesses)

    1) Job ? ompetency analysis I

    $dentify no'lede* 0/ills and

     Attitudes (0As+ re-uired

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    7o2 Anal"sis

    8erson

    ,euire#ents

    Atitudes

    8redictors

    8erson

    !ecification

    7o2

    ,euire#ents

    Tas: 

    Co#etencies

    Criteria

    7o2

    escrition

    8rediction

    (After 0unter ;

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    Job Analysis

     

    !  Aim I $dentify critical competencies re-uired for successful jobperformance

    ! Outputs = "hat does the job holder do%! $nputs =  'hat s/ills* /no'lede* abilities does the job holder need%

    !  Result is a competency frame'or/ identifyin critical success factors

    associated 'ith successful performance

    ! "hy%

    1) #o achieve the best possible prediction of job performance (put the

    riht people in the job+

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    #ypes of Job Analysis

    1) Hierarchical tas/ analysis (Annett* Duncan et al 1N;1+

    U+

    !  $dentify /ey roles and functions of job!  $dentify critical behaviours (related to success or failure+!  lassify into similar behaviours

    !  0ummarise!  Balidate usin other 0M,

    Other techni-ues include Repertory rid

    lassifyin Aptitudes

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    lassifyin Aptitudes

    2leishman9s #a4onomy of 0/ills

     Abilities 'ere classified into:! onitive: $nformation processin and problem solvin! Perceptual?spatial: Attention and spatial orientation! Physical: 2le4ibility* strenth and stamina

    ! Psychomotor: oordination and reaction time

    7A#O 0tudy: Aptitude dimensions for military fast&jet pilots (@ydorf 1NNL+!  0ituational a'areness: Perceptual closure reaction time!  0patial orientation!  #ime sharin

    !  Aressiveness!  Divided attention!  Psychomotor coordination!  Perceptual speed!  0elective attention!  Bisualisation

    "eihtin Aptitudes

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    "eihtin Aptitudes

    Determinin priorities

    ! 7eed to identify relative importance of aptitudes in job performance

    ! D$2 Analysis) Ratins of:

    !  Difficulty!  $mportance!  2re-uency

    Choice of Measure

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    Life

    E>eriences

    A2ilit" Moti5ation Te#era#ent

    8erfor#ance

    C/?

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    #ypes of aptitude measure  Paper . pencil measures

    !  omputer&based testin: @AR@ (@ritish Army+C OA0 (RA2+C MicroPat

    (AA* R7* @A* athay+C #A0OMA# (ommercial+C @A# (0A2+!  ,ase of administration!  ,4perimental testin!  Dynamic measures possible!  Measure processin capacity!  Multi&tas/s

    !  0ophisticated measures such as response latency

    !  "or/ sample!  RA2 2lyin Kradin

    !  0imulation based! Advantaes of @# . 'or/ sample

    ! 5o'er costs,4ample: anadian Automated Pilot 0election 0ystem

     !  @iodata

    !  Personality measures see other lectures

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    ,ffectiveness of measures

    ,valuatin 0election: Reliability and Balidity

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    ,valuatin 0election: Reliability and Balidity

    Reliability Accuracy and stability of the test!  $nternal consistency reliability!  0plit&half reliability!  Parallel forms!  #est&retest reliability

    !  $nter&rater reliability

    Balidity Does the test really measure 'hat it claims to measure%!  onstruct validity!  ontent validity!  Predictive validity

    0ee other lectures as 'ell

     

    E i ll i

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    8redictor score

       8  e  r   f  o  r  #  a  n  c  e  s  c  o  r  e

    False8ositi5esTrue

     egati5es

    True

    8ositi5esFalse

     egati5es

    CutDoff score

    8ass Mar:

    Error in allocation

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    8redictor score

       8  e  r   f  o  r  #  a  n  c  e  s  c  o  r  e

    T8

    F8

    F

    T

    0igher Correlation reduces error 

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    8redictor score

       8  e  r   f  o  r  #  a  n  c  e  s  c  o  r  e

    CutDoff score

    1

    8ass Mar:

    CutDoff score

    *

    Effect of setting CutDoff scores

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     Averae orrelation bet'een competency ratins and job performance

    $nterpretin scores!  7orm referenced I most conitive?ability tests

    !  0elf referenced I Attitude?Personality measures!  riterion&referenced I job s/ills

    Balidity of Different Methods

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    0election Method

    Mean Balidity o&efficient

    $ntervie' & "nstructured ,

    $ntervie' & *tructured - 

    )1

    )L>

    @iodata 1 )L;

    References L?1 )1; to )L

    Personality testin 1?>

    "or/&sample tests 1

    #rainability tests F

    )1= to )LL

    )>

    )F

      ,4ample: RA2 Aircre' 0election

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    READY TO CHANGE

     YOUR LIFE? 'our visit to OA)* will ta+e several days andincludes,

    !  an initial -rie.ng/!  aptitude tests/!  an aptitude test review/!  the e0ercise phase/

    !  an interview/!  an occupational medical/ and!  .tness assessments# 1from OA)*-rochure2

      ,4ample: RA2 Aircre' 0election

    ADPO1=LFN

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     ADPO1=LFN

    ,BO5#$O7 O2 AP#$#D, #,0#$7K $7 #H, RA2

    M) @ailey* RA2 ran'ell

    @efore 1N=: main method 'as

    unstructured intervie'

     About >=G pilot trainin failure rate at start of ""$$

    2irst set of Aircre' 0election @oard tests included!  ,ssay 'ritin!  ,lementary maths!  Keneral intellience

    !  ,arly developments

    !  need reconised for separate tests of s/ills and personality!  shift to testin for specific roles (e)) electromechanical coordination+!  1N: "ith help from 0AA2* series of objectives measures (e))

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    1N6Q

    Many more tests created 6 but at the end of this period tests 'ere not mar/edly different

    Preliminary 2lyin 0chool closed 1N; 6 selection then relied purely on aptitude tests) 2or

    various reasons validities droppedC for e4ample* to )1 for trainin results

    0econd eneration selection tests:!  e4ploited increased computin capability:

    !  at first* computerised versions of e4istin tests!  later* ne' tests (based on abilities re-uired* usin 2leishman9s system+ 6 Air

    #raffic and 2ihter ontroller #est @attery produced!  7ine 'eihted test scores used!  Kood predictive validity

    $ssues!  7o formal job analysis!  #ests driven by theory and test availability

    Hence 1NN=s:!  0hift to domain&centred frame'or/

      ,4ample: RA2 Aircre' 0election

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    :

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    0imulation and #rainin

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      $nformation from

    !  s/ill lecture

    !  simulation and trainin lecture (technical s/ills+

    !  RM lecture (non&technical s/ills+

    !  Human error lecture

    !  etc

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    ey $ssues

    !  #rainin needs analysis (oranisational* occupational* individual+ I

    focus on no'lede* 0/ills* Abilities? Attitudes (0As+

     

    Desin of trainin proramme

    !  Develop $nstruction by Objective!  0elect $nstructional 0tratey

    !  0elect? oranise element to be trained!  $dentify trainin aids!  Oranise materials?resources!  Apply learnin principles!  Develop ,valuation $nstruments

    !  $mplementation ('ho* 'here* 'hen+

    !  ,valuation (Reaction* 5earnin* @ehaviour* Results+

     !  7ote D$2 analysis (difficulty* importance* fre-uency+ I helps to decide 'hether not to train*

    to train* or to over&train

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    #rainin issues (see also Human $nformation Processin lecture+:

    !  Massed versus distributed practice

    !  "hole& versus part&tas/ approach

    !  Phases of learnin

    !  2eedbac/

     Media and technoloy

    !  0imulation I very important in aviation* 'here the objective is to ma4imise the transfer of

    learnin from simulator to aircraftC fidelity is a /ey issue: do not need physical fidelity

    (simulator does not need to resemble the aircraft+* but functional fidelity is important

    !  $nternet&based I increasinly importantC can be accessed even in the field

    !  #raditional I still some role for classroom&based instruction

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    0ituation A'areness

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    #opics

    #e%initions

    Models

    Theory

    Metrics

    pplications

    ,imitations

    "hy is 0tudyin 0ituation A'areness

    $ t t%

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    3eading causal factor in a review of %4$ aviationmishaps

    7artel+ Smith

     and Prince

     (AA)

    5a6or causal factor in 778 of accidentsassociated with human error in a review of ma6oraircraft carrier accidents 1%979:%99;2

    Endsley(1994)

    *ontrolled

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    S popularised to descri'e the psychological

    processes o%

     6 ttention

     6 Memory

     6 Perception

     6 Prediction

     6 Pattern Matching

    Historical Oriins of 0A

    55Mental Model6Mental Model6

    o% the situationo% the situation

    Definitions of 0A1

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    / / / no'lede of current and near&term disposition of bothfriendly and enemy forces 'ithin a volume of airspace) McMillanMcMillan(1NN+(1NN+ 

    ) ) ) One9s ability to remain a'are of everythin that is happenin atthe same time and to interate that sense of a'areness into 'hatone is doin at that moment) Haines . 2lateau (1NN

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    Situation wareness is / / /

     6 #he perception of the elements in the environment 'ithin a

    volume of time and space* the comprehension of their

    meanin* and the projection of their status in the near

    future ,ndsley (1NQQ+,ndsley (1NQQ+

     6 $t is derived from the aircraft instrumentation* the out&the&

    'indo' vie'* and his or her senses

     6 #he -uality of an operator9s 0A is moderated by individual

    capabilities* trainin* e4perience* objectives* and the ability

    to respond to tas/ 'or/load

     6 #he term 80A9 should only ever be applied to dynamic 

    environments

    0ummary /no' this P4ECT$N FP4ECT$N FF9T94E STT9SF9T94E STT9S

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    :hen all is said and done we "now that Situation

    wareness re%ers to an operator6s "nowledge and

    9nderstanding o% the dynamic environment in

    which he=she is operating $t is "nowledge o% the 51ig Picture6

    S provides the 'asis %or su'se*uent decision

    ma"ing and per%ormance in the operation o%

    comple.+ dynamic systems

    PE4CEPT$N FPE4CEPT$N F

    EN>$4NMENTEN>$4NMENT

    CMP4E7ENS$NCMP4E7ENS$N

    F C944ENT S$T9T$NF C944ENT S$T9T$N

     A Model of 0A

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    5evel L5evel L

    5evel +,ndsley (1NN>+

    PE4CEPT$N FPE4CEPT$N F

    EN>$4NMENTEN>$4NMENT

    88PerceivePerceive

    relevantrelevant

    information9information9

    CMP4E7ENS$NCMP4E7ENS$N

    F C944ENT S$T9T$NF C944ENT S$T9T$N

    88$nterate 'ith$nterate 'ith

    tas/ oals9tas/ oals9

    P4ECT$N FP4ECT$N F

    F9T94E STT9SF9T94E STT9S

    88Predict futurePredict future

    events ? statesevents ? states

    based onbased on

    understandin9understandin9

    •  System Capability•  Interface Design

    •  Stress & Worloa!

    •  Complexity

    •  A"tomation,ndsley9s Model

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    SITUATION AWARENESS

    •  Abilities

    •  Experience

    •  Training

    Information #rocessing

    $ec%anisms

    ong'term $emory

    Stores

    A"tomaticity

    •  (oals & Ob)ecti*es•  #reconceptions

    +Ex ectations,

    -ee!bac 

    State of t%e

    En*ironmentDecision   #erformance of 

    Actions

    Tas.System -actors

    In!i*i!"al -actors

    Compre%ension

    of C"rrent

    Sit"ation

    e*el /

    #erception

    of Elements

    in C"rrent

    Sit"ation

    e*el 0

    #ro)ection

    of -"t"re

    Stat"s

    e*el 1

    ybe a'are of main elements

    Model of !A in d"na#ic decision

    #a:ing (fro# Endsle"3 *)

    EGgG Te#erature

    Ti 8

    EGgG +@

    Cogniti5e A2ilities

    Conscientiousness

    ineti9s Model of #he 0A Process

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    SA

    En5iron#ental

    !tate

    Ti#e 8ressures

    a"night

     oise

    Lethalit"

    Berator Traits

    E>erience

    8ersonalit"

    Training

    ,is: Ta:ing

    ,eal World!"ste#

    +nfor#ation

    !alience of info

    A5aila2ilit" of info

    +nfo co#le>it"

    +nfo uantit"

    Auto#ation

    @ualit" of 0M+

    Berator !tate

    E2g2 -rig%tene!Conf"se!

    3ig% Worloa!

    -atig"e!

    Aggressi*e

    6oals

    Mission 6oals

    !"ste# 6oals

    8ersonal 6oals

    #he 0A Process

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    #he 0A 8P4CESS6

    #he 0A Process

     A series of comple4 conitive

    processes* includin: Perception*

    "or/in Memory* Pattern Matchin*

     Attention and 5on #erm Memory

    7O# 8tas/9 or 8individual9 specific Also referred to as 0ituation

     Assessment (0A0+

    "ill be influenced by a multitude of

    80A 2actors9

    2actors Affectin the 0A Process

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    #hese factors "$55 @,8tas/9 A7D 8individual9specific

    ,ach factor 'ill havedifferent 'eihtins or

    importance attached to itfor differin militarydomains

    #he number of suchfactors is vast

    Berator Traits

    EGgG +@

    Cogniti5e A2ilities

    Conscientiousness

    E>erience8ersonalit"

    Training

    ,is: Ta:ing

    En5iron#ental

    !tate

    EGgG Te#erature

    Ti#e 8ressures

    a"night

     oiseLethalit"

    6oalsoctrine

    !B8s

    Mission 6oals

    !"ste# 6oals

    8ersonal 6oals

    irecti5es

    ,BE

    Co##ander +ntent

    -nowledge

    +nfor#ation

    !alience of info

    A5aila2ilit" of info

    +nfo co#le>it"

    +nfo uantit"

    Auto#ation

    @ualit" of 0M+

    -now the #ain headingsH

    0A as a Product

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    #he output of the 0A

    PRO,00 'ill be a number of

    80ituation Models9 (or dynamicmental models+

    #hese situation models are

    essentially /no'lede and

    understandin

    #he -uality of a person9s 0A is

    defined by the match bet'een

    these situation models and

    reality !ituation Model

    ,eal World

    #he difference bet'een

    these represents the

    -uality of one9s 0A

    Th ill h

    Geographical S!o'n aircraft

    0A ,lements

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    The person will have a

    situation model %or

    each o% the relevant 50A$nformation Domains6

    associated with a

    speci%ic tas" or 2o'

    Each S in%ormationdomain will comprise a

    num'er o% 50A ,lements6

    E.ample Endsley

    (BB) illustrates this%or the tas"=2o' o%

    piloting a civil aviation

    aircra%t

    !other aircraft!terrain features!airports

    !cities!'aypoints!naviation fi4es!position relative to

    desinated features!path to desired location!run'ay and ta4i'ay assinments!climb?descent points

    System S!system status!functionin and settins

    !radio!altimeter !transponders!fliht modes and automation

    !deviations from correct settins

    ! A# communications present!fuel!impact of derades and settins

    !on performance!time and distance available on fuel

    Spatial=Temporal S!attitude!altitude!headin

    !velocity!vertical velocity!Ks!fliht path!actual values relative to assined!projected fliht path!projected landin time

    Environmental S!'eather formations and movement!temperature!icin!ceilins!fo!#urbulence* 'inds!sun

    !visibility!$2R?B2R conditions!areas to avoid!fliht safety!projected 'eather conditions

    $n 0ummary

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    y #he development and

    maintenance of 0A occurs

    'ithin an individual9s head #he 0A process (or 0A0+ is a

    eneric continuous

    process?cycle that is impacted

    upon by many factors

    #hese factors 'ill vary in their

    importance and influence

    dependin upon the specific

    tas/ and the individual

    underta/in that tas/

     An individual 'ill continuously

    cycle throuh the 0A process

    for each 0A $nformationDomain* developin a situation

    model for each

    #hese situation models 'ill be

    tas/&specific

     All situation models 'ill be

    continually updated and

    revised as ne' information

    becomes available or as the

    factors affectin the 0A

    process chane in importanceor in state

    #eam 0A

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    0A can be applied to teams as

    'ell as to indi!iduals

    aution needed here* as 0A

    cannot be shared (it resides

    inside the individual9s head+* but

    information can be shared

    "e could be tal/in about: 6 1+ #he overlap in 0A for the team

     6

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    0A has become a major desin driver 

     6 Developin operator interfaces to enhance 0A 6 Developin automated systems 'ithout resultin in a loss of

    0A

     6 #rainin techni-ues are desined to develop better 0A

    Development of 0A metrics for evaluation purposes

     6 Development of metrics since the late 1NQ=s

     6 Baryin derees of maturity ? validation

     6 Barious forms of metrics

    ! 0ubjective Bs Objective

    ! 0elf&report Bs #hird&Party ratin

    ! 0imulator&based Bs #est fliht

    0A Metrics

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    re' 0A0A Klobal Assessment techni-ue (0AKA#+

    0napshots

    0A 2liht #rainin ,valuator (0A2#,+

    hina 5a/e 0A 0cale (50A+0A Ratin #echni-ue (0AR#+

    0A 0upervisory Ratin 2orm (0A0R2+

    Physioloical Measures: ,ye Activity

    0A Metrics–Summary

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    S!

    ,evel

    1re'0A

    0AKA# 0nap0hots

    0A2#, 150A 0AR# 0A0R2 ,yePOK

    Perceive,nvironment

    1omprehend1urrent0ituation  

    Project2uture0tatus  

    S!

    ,evel

    1re'0A

    0AKA# 0nap0hots

    0A2#, 150A 0AR# 0A0R2 ,yePOK

    Perceive

    ,nvironment

    1omprehend1urrent0ituation  

    Project2uture0tatus  

    no' at least 0AKA#?0AR# in a little detail* plus names of a fe' others

    0A Metrics–Summary

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    Most 0A measures have been desined usin aparticular 0A definition* and 'ith a specific application

    in mind

     6 eep this in mind 'hen selectin an 0A measure

    $n practice* < of the 0A measures outlined previouslyare used far more than the others: 6 0AR# (subjective+

     6 0AKA# (objective+

    #his is probably due to the e4tensive validity data that

    accompanies these measures ('e 8/no'9 they are

    measurin 0A+ 

    0o* of "hat se is 0A Research%

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    #here are three main military applications for 0Aresearch:

     6 1+ 0ystem?interface desin* development* assessment and

    evaluation

    ! Operator interfaces desined to enhance 0A!  Automated systems must s'itch 'ithout losin operator

    0A

     6

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    0A is a theoretical construct

     6 Practical difficulties in measurin and predictin 0A

     6 2or those 'ho do not understand the theoretical basics of 'hat 0A is all about* there can

    be an element of perceived circularity

    88"hy did the aircraft"hy did the aircraft

    crash%9crash%9

    @ecause of lac/@ecause of lac/

    of pilot 0Aof pilot 0A

    88Ho' do 'e /no' thereHo' do 'e /no' there

    'as a lac/ of pilot 0A%9'as a lac/ of pilot 0A%9

    @ecause he@ecause he

    crashedcrashed

    $mmature concept

     6 0till much debate over definitions and measures

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    re' Resource Manaement (RM+

    RM #rainin

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    $ntroduction

    Need %or e%%ective interaction viation accidents most have human error component

    RM ,volution Evolution o% C4M to %i%th-generation

    RM #rainin

    RM #rainin

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    Objectives of RM

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    #ypes of RM course

    Foundation Course 6 :ide range o% topics covered 6 Focus on discussion and video

    Continuation Courses

     6 $n depth coverage o% topic areas 6 S"ills practice (low %idelity)

    ,FT=MST 6  S"ills practice (high %idelity) 6  Crew-centred de'rie% 

    RM #rainin

    RM #rainin

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    #opics in typical RM courses

     6 7uman in%ormation processing 6 Personality and attitudes 6 Communications 6 Teamwor" structures 6 Teamwor" 'ehaviours 6 ,eadership style

     6 #ecision ma"ing 6 Stress management 6 7uman error  6 Situation awareness 6 utomation on the %light dec" 6 Fatigue and wor"load 6 Case studies & research %indings 6 1e a'le to list the main topics

    RM #rainin

    RM #rainin

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    5eadership issues

    E%%ects o% captain6s attitudes

    uthority Gradient

    RM #rainin

    RM #rainin

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    ommunication

     6 9S S4S most accidents involved %ailure o% in%ormation trans%er  6 ,ow-error crews demonstrate di%%erent patterns o% comms

    ommunication s/ills /no' them 6 $n*uiry 6 dvocacy 6 ,istening 6 Con%lict resolution 6 Criti*ue 6 Feed'ac"

    @arriers to communication 6 Physical8 word usage8 interpersonal8 mental

     6 Cultural and language 'arriers 6 Su'ordination pro'lems 6 5Power-distance6 'arriers

    RM #rainin

    RM #rainin

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    ore team'or/ behaviours

     6 Monitoring

     6 Feed'ac"

     6 1ac"ing up

    RM #rainin

    RM #rainin

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     +d hoc  teams 6 Fre*uently arise in airline ops 6 HIJ o% accidents occur on %irst day crew %lying together 

    0ituation a'areness 6 $mportant topic in C4M 6 See lecture on S!

    RM #rainin

    RM #rainin

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    RM trainin resources

     6 Sel%-study 6 Classroom awareness training 6 Modelling 6 Classroom s"ills training 6 S"ills practice in simulators 6 Practice=coaching during %lying

    RM #rainin

    RM #rainin

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    5O2#

     6 4un in a high %idelity simulator  6 4ealistic sortie=real time 6 Crew and %acilitator 5in role6 6 Few %ailures 6 Non-technical %ocus 6 Focus on choice dilemmas

     6 Non 2eopardy 6 Crew-centred de'rie% using video

    RM #rainin

    RM #rainin

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    RM $ssues 6 :hat is 5'est practice60 6 #oes it wor"0 6 Those needing most help %rom C4M most resistant to

    change 6 May change attitudes 'ut not 'ehaviour 

     6 Needs management commitment 6 C4M s"ill %ade occurs over time 6 Cultural issues should 'e considered

    RM #rainin

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    &rror and Accidents(0ee Accident module+

    #he follo'in may help you structure your no'lede of this topic 6 dra'n from 'or/of John happelo'

    Disru!i"e #$%!&rs

    ENVIRONMENT 

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    @erception

    Intention

    Action

     as+

    En$'lin #$%!&rs

    redis&si!i

    &ns

    SYSTE

    M

    OPERATOR

    personalitytalent

    fatiguealcoholoverarousal

    underarousal

    ergonomics

    training

    -rie.ngsocial conte0t

    noiseheat

    coldvi-ration

    threattas+ demand

    Be a-le to list!

    descri-e themain factors

    Error type   Disr"pti*efactors

    Enablingfactors

    #re!isposingfactors

    #erception Stressors #%ysical Trait

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    errors

    4is"al ill"sion #%ysiological Ergonomics #ersonality

    Disorientation Noise 3an!ling

    c%aracteristics

    ac of talent

    Un!etecte! t%reat Time press"re System logic Inexperience

    $isinterpretation Operational

    press"re

    Excess 5eal

    3ig% tas !eman! ac of airmans%ip

    Intention errors   o6 tas !eman! Sensory limitations

    R"le *iolation T%reat Cogniti*e

    limitations

    Inappropriate

    mo!el

    Distraction $otor limitations

    Action errors Organisational State

    Cogniti*e fail"re Training Alco%ol

    Slo6 response 7riefing -atig"e

    #recipitate response A!ministrati*e

    s"pport

    3ypoglycaemia

    Disorganise!

    response

    Social context ife stress

    $is%an!ling o6 morale

    Un!eraro"sal

    O*eraro"sal

    Social factors

    Error type   Disr"pti*efactors

    Enablingfactors

    #re!isposingfactors

    #erception Stressors #%ysical Trait

    )ummary, ma6or factors

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    errors

    4is"al ill"sion #%ysiological Ergonomics #ersonality

    Disorientation Noise 3an!ling

    c%aracteristics

    ac of talent

    Un!etecte! t%reat Time press"re System logic Inexperience

    $isinterpretation Operational

    press"re

    Excess 5eal

    3ig% tas !eman! ac of airmans%ip

    Intention errors   o6 tas !eman! Sensory limitations

    R"le *iolation T%reat Cogniti*e

    limitations

    Inappropriate

    mo!el

    Distraction $otor limitations

    Action errors Organisational State

    Cogniti*e fail"re Training Alco%ol

    Slo6 response 7riefing -atig"e

    #recipitate response A!ministrati*e

    s"pport

    3ypoglycaemia

    Disorganise!

    response

    Social context ife stress

    $is%an!ling o6 morale

    Un!eraro"sal

    O*eraro"sal

    Social factors

    *&%i$l %&n!e+!98

    *&%i$l %%8

    ers&n$li!y;%8

    C&ni!i"e #$ilure%48

    Dis&r$nisedres&nse

    ;8

    Er&n&,i%s

    Tr$inin-rie.nAd,in/su&r!

      >"8

    Ine+erien%e

    ;8

    Neur&!i%

    Anxious Impulsive

     Kou6ve seen this 'e%ore///

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    In!r&"er!ed

    E+!r$"er!ed

    *!$'le

     Anxious   Impulsive

    0$&r %$us$l #$%!&rs2 Hu,$n #$%!&

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    &0panded data set

    = > 1= 1>

    ,ronomics

    5ac/ of airmanship

    Personality

    0ens ory l im itat ions

    0oc ial factors

    Distraction

    Overarousal

     A dm in is tra tive s upport

    Hih tas/ dem and

    $ne4perience

    Num'e r o% mishaps

    *ensi!i"i!y2 Hu,$n #$%!&rsSocial %actors

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    &0panded data set

    -@ -B -@ B @ B @

    Social conte.t

    Sensory limitations

    Supervision

    ,ac" o% airmanship

    1rie%ing

    dministrative support

    $ne.perience

    7igh tas" demand

    #istraction

    This graph shows'ene%it o% eliminatingthe %actor+ and costo% an increase in itsseverity

    Social %actors areseen to 'e moreimportant when weconduct sensitivity

    analysis these pro'lemsare solu'le

    ,rror: ,4amples of Possible Remedies /no' this

    0ocial factors

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    $ne4perience!  More (or improved+ trainin

    Hih tas/ demand

    !  0election (e))* some personality types cope better 'ith hih 'or/load+!  #rainin creates more 8spare capacity9!  #he system can be modified to reduce 'or/load (automation* better

    eronomics etc+

    Distraction!  May be able to select individuals less prone to distraction

    0ocial factors!  Personnel selection

    !  RM trainin