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Simulations in aviation and medicine: Cognitive and motivational factors influencing use in training

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Title: Simulations in aviation and medicine: Cognitive and motivational factors influencing use in training


1
Simulations in aviation and medicine Cognitive
and motivational factors influencing use in
training
  • presented by
  • Dr Lisa Wise
  • Cognitive scientist / educational technologist
    BASE Study, Defence Science and Technology
    Organisation
  • Honorary Research FellowMUVES Project, The
    University of Melbourne

2
Cross-disciplinary research background
  • cognitive neuroscience researcher
  • neural mechanisms of sensory motor integration
  • neuroethology and multimodal spatial coding
  • sensory adaptions in different species (predator
    versus prey)
  • psychology teaching
  • perception, cognition, communication
  • motivation and emotion
  • skill acquisition
  • educational technologist specialising in online
    learning
  • project management / web database applications

3
MUVES
  • Melbourne University Virtual Environments for
    Simulation
  • The MUVES research program is grounded in a
    cognitive science approach to the education and
    training utility of high fidelity virtual reality
    simulations and other forms of interactive
    technology. Underpinning this program of research
    are core questions about how humans process
    information and how different types of knowledge
    is represented.
  • funded by the University of Melbourne Strategic
    Research Innovation Fund

4
BASE Study
  • Balance in the mix of Aircraft and Synthetic
    Environments for early flight training
  • The BASE study reviews the psychological and
    educational basis on which decisions regarding
    use of synthetic training devices in early pilot
    training should be made
  • contract research for the Defence Science and
    Technology Organisation

5
Outline
  • Simulations What are they?
  • static versus dynamic models, emulations,
    synthetic environments,
  • Simulations Why use them?
  • cost reduction, risk mitigation, generating
    abnormal conditions
  • Fidelity and level of abstraction
  • types of fidelity, types of models, purpose of
    simulation
  • Mental models and cognitive understanding
  • novice versus expert, procedural vs conceptual,
    decision-making
  • Training continuum
  • basic vs advanced training, end-point of
    training, dealing with complexity
  • Organisational factors
  • cost-benefit, contractor / vendor /
    organisational dynamics

6
Simulations What are they
  • dynamic models (theoretical / empirical)
  • verification, validation and accreditation of
    models
  • emulations, simulations, synthetic environments,
    VR

7
Issues with computer modelling
  • The World as a Process Simulations in the
    Natural and Social Sciences (Stephan Hartmann)
  • That is the dilemma of using computers in
    science People no longer spend that much time
    thinking about simple treatments but just
    complicate the model in order to increase its
    empirical adequacy.
  • We need independent evidence for the terms
    involved A simulation is no better than the
    assumptions build into it.
  • Every term in the model has to be interpreted
    thoroughly.
  • There is no understanding of a process without a
    detailed understanding of the individual
    contributions to the dynamic model. Curve fitting
    and adding more and more ad hoc terms simply
    doesnt do the job.

8
Issues with computer modelling
  • The World as a Process Simulations in the
    Natural and Social Sciences (Stephan Hartmann)
  • There is still another (psychological) problem
    with many realistic simulations which fit all
    data well. They make us forget that as always in
    science idealizations and approximations were
    involved in deriving the model.
  • A serious appraisal of computer simulation has
    to pay attention to this fact.

9
Virtual reality - answers.com
  • A computer simulation of a real or imaginary
    system that enables a user to perform operations
    on the simulated system and shows the effects in
    real time
  • In scientific and engineering research, virtual
    environments are used to visually explore
    whatever physical world phenomenon is under
    study. Training personnel for work in dangerous
    environments or with expensive equipment is best
    done through simulation. Airplane pilots, for
    example, train in flight simulators. Virtual
    reality can enable medical personnel to practice
    new surgical procedures on simulated individuals.
    As a form of entertainment, virtual reality is a
    highly engaging way to experience imaginary
    worlds and to play games. Virtual reality also
    provides a way to experiment with prototype
    designs for new products.

10
Training aids
11
Early Flight Simulators - Link Trainers (1929)
12
QANTAS 747 Flight Simulator
13
CSIRO Haptic workbench - VR for surgery
  • The task one surgeon leading the other through
    the concepts involved in a surgical procedure
  • Tools shared virtual reality model of the
    anatomy, shared haptic interaction with that
    model, 3D annotation tools, ancillary shared
    video of the actual procedure, shared annotatable
    X-ray display of an actual patient.
  • Each surgeon had an immersive haptic workbench
    fitted with camera, small video display and
    microphone/speaker for audio communication. The
    audio was also broadcast to the
    audience. SimTec, T2004

14
Laproscopic surgery
  • new context for existing surgical skills
  • actual task requires visualisation via computer
    screen

15
CRM / Scenarios / Missions
  • David Gaba, an anaesthetist, and his group at
    Stanford University USA recognised the
    similarities between pilots and Anaesthetists and
    adapted the aviation industry's Crew Resource
    Management training to the field of anaesthesia
    and named it Anaesthesia Crisis Resource
    Management (ACRM).

16
Simulations Why use them?
  • cost reduction
  • high cost / low availability of real life
    situation (aircraft availability / air space,
    operating theatres / patients)
  • risk mitigation
  • high risk procedures, emergency situations
  • generating abnormal conditions
  • low probability situations
  • what-ifs
  • weather / missions / operating conditions

17
Fidelity and levels of abstraction
  • types of fidelity
  • types of models
  • purpose of simulation
  • some examples

AVIATION MEDICINE
visual flying temporal bone surgery
instrument flying laproscopic surgery
missions surgical theatre
18
Components of skill acquisition
  • Cognitive component
  • nature of skill-to-be-acquired is captured
  • Perceptual learning component
  • environmental information is explored such that
    task-relevant and task-irrelevant cues are
    identified
  • Response learning component
  • specific skill-related behavioural responses are
    acquired
  • Mapping - sequencing component
  • appropriate cues and responses are linked
    together
  • Performance component
  • skilled behaviour is enacted

19
Selective factors In Perceptual Learning
20
Optical illusions
  • Optical illusion sounds pejorative, as if
    exposing a malfunction of the visual system.
    Rather, I view these phenomena as bringing out
    particular good adaptations of our visual system
    to standard viewing situations. These adaptations
    are hard-wired in our brains, and thus under
    some artificial manipulations can cause
    inappropriate interpretations of the visual
    scene.
  • As Purkinje put it Illusions of the senses
    tell us the truth about perception (cited by
    Teuber, 1960).
  • Michael Bach http//www.michaelbach.de/ot/

21
Colour afterimage
22
Colour afterimage
23
Colour afterimage
24
Rotating snake - luminance effects
25
Mach bands - contrast effects at boundaries
26
Necker cube - depth ambiguity
27
Illusory motion of illusory contours
  • The illusory square appears to move from one
    position to the other.
  • Two image frames are used to create the illusion
    of motion. The motion is induced by swapping
    quickly between the two frames.
  • The squares themselves are also an illusion, as
    they have no real boundaries, but are mentally
    constructed from interpolating between aligned
    boundaries.

28
Hidden figures
29
Hidden figures
30
Church of Sant'Ignazio di Loyola (17th C)
31
Fidelity and immersive capacity
  • The immersive potential of a synthetic
    environment is dependent on
  • the validity of stimulus cues
  • the willingness of the protagonist to suspend
    disbelief to the extent of accepting the premises
    of the simulation and overlooking known
    limitations of the medium
  • sufficient domain knowledge available to
    protagonist from which to construct the illusory
    or missing aspects of the synthetic environment
  • Method of illusion generation must not impact
    detrimentally on learning outcomes required of
    the training task
  • calibration by expert does not mean that the
    correct underlying cues are present for
    generating responses

32
Information processing approach (eg Neisser, 1967)
Perceptual processes
Decision-making and response selection
Response programming and execution
Motor learning approach (eg Fitts, 1964, Keele,
1973)
1 Understanding skill requirement (observation,
verbal / written instructions)
2 Associative stage (movement refined, errors
reduced, verbalisations reduced)
3 Autonomous stage (develop automaticity or
reflex)
Ecological approach (eg Newell, 1986)
task
Control
Coordination
Skill
perception
Goal-directed behaviour
organism
constraints
environment
action
(Adapted from Summers, 2004)
33
Dynamic coordination and control
  • Coordination strategies align organism with
    environment to achieve a task
  • Alignment driven by search plus selection under
    constraint
  • constraints of task and environment
  • Tasks and skills
  • macro level comprising micro level subsystems
  • Limits of motor coordination
  • constraints on process (freezing degrees of
    freedom of movement)
  • constraints on outcome (constraining goal to
    tighter and tighter performance criteria)
  • Increasing coordination decreases degrees of
    freedom on outcome rather than on specifics of
    how outcome is achieved

34
Role of instructor
  • The role of the instructor or coach is
  • to ensure the correct discovery environment
    through the manipulation of task and
    environmental constraints in an attempt to guide
    exploration of the dynamics of the
    perceptuo-motor workspace if one uses the
    metaphor of a story to conceptualise the skill
    acquisition process in sport, then the end-state
    form (the skill) to be acquired by each
    individual is not proscribed at the outset, but
    is painstakingly and creatively written
    ongoingly.

35
Effects of constraints on training
  • Directed coaching or synthetic training
    environments with limited dimensionality will
    only support a very narrow search process
  • Unbounded workspaces allow unconstrained search
    which can unrewarding, inefficient and
    potentially unsafe
  • Generalised textbook approaches provide neatly
    packaged temporary solutions for immediate
    performance effects in specific environments
  • Unique relationships between movement subsystems
    which influence long term performance transfer to
    novel situations will not be established in early
    learning

36
Mental models and cognitive understanding
  • novice versus expert
  • procedural versus conceptual
  • decision making

37
Simulations in the training continuum
  • basic versus advanced training
  • desired end-point of training
  • dealing with complexity
  • continuous versus discrete time scales
  • rate of learning
  • temporal flow
  • motivational factors of time pressure
  • Competency-based model versus master-apprentice
    observational learning model?

38
Rate of learning / Spare cognitive capacity
Some parameters Rate-of-learning Technical
competence Spare capacity cognitive
psychomotor Sequencing / flow procedural
chunking Sensory-motor memory
39
Organisational factors
  • cost - benefit to whom?
  • contractor gt vendor gt organisational dynamics
  • Cross-disciplinary teams often share terminology
    at the surface level which does not translate to
    shared understanding at the deep level the same
    terminology means different things
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