Title: Simulations in aviation and medicine: Cognitive and motivational factors influencing use in training
1Simulations 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
2Cross-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
3MUVES
- 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
4BASE 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
5Outline
- 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
6Simulations What are they
- dynamic models (theoretical / empirical)
- verification, validation and accreditation of
models - emulations, simulations, synthetic environments,
VR
7Issues 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.
8Issues 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.
9Virtual 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.
10Training aids
11Early Flight Simulators - Link Trainers (1929)
12QANTAS 747 Flight Simulator
13CSIRO 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
14Laproscopic surgery
- new context for existing surgical skills
- actual task requires visualisation via computer
screen
15CRM / 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).
16Simulations 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
17Fidelity 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
18Components 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
19Selective factors In Perceptual Learning
20Optical 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/
21Colour afterimage
22Colour afterimage
23Colour afterimage
24Rotating snake - luminance effects
25Mach bands - contrast effects at boundaries
26Necker cube - depth ambiguity
27Illusory 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.
28Hidden figures
29Hidden figures
30Church of Sant'Ignazio di Loyola (17th C)
31Fidelity 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
32Information 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)
33Dynamic 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
34Role 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.
35Effects 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
36Mental models and cognitive understanding
- novice versus expert
- procedural versus conceptual
- decision making
37Simulations 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?
38Rate of learning / Spare cognitive capacity
Some parameters Rate-of-learning Technical
competence Spare capacity cognitive
psychomotor Sequencing / flow procedural
chunking Sensory-motor memory
39Organisational 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