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avoidingcollisionwiththeothervesselbutcanignore
shallows in the vicinity and find himself in greater
danger.
During the time, operators extract information
from the environment and store it in the working
memory. Working memory is limited and easily
disrupted. SA failures occur when that limit is
reached
orduetothenaturaldecayofinformationin
the working memory. Depending on the sensor we
use, information cannot be retrieved. Auditory
informationhas the same value for achieving SA as
the visual but often visual information can be
revisitedon thevisualdisplay. Thisʹʹdemonʹʹcanbe
reduced
if the operator actively works to keep the
informationinthememorybyrepeatingorrevisiting
it. Another way to keep theinformation for a while
longer is to connect the information to another
informationoramentalmodelinlong‐termmemory.
Except for the complex dynamic environment,
operators must
perform their duty under the
conditionsthatareoftenstressful.Thosestressorscan
be psychological or physical in nature. Stress or
anxiety can occur when it comes to big stakes, like
humanlives.Psychologicalstressorsmayalsoinclude
mental workload, time pressure and uncertainty.
Physical stressors occur in the environment
with
extreme cold or heat, poor lighting, high level of
vibrations or noise, etc. Working against the
operatorʹs circadian rhythm and physical fatigue
significantly reduces the capacity of, already limited
working memory. In these conditions, the operator
has difficulties to form SA because of reduced
cognitive functions for processing and
holding
information in memory. Also, the operator becomes
lessorganizedinscanninginformation,lesscapableto
efficiently collect information and more liable to
attentionaltunnelling.
ToachievegoodSAinadynamicenvironment,in
which data is rapidly changing, the operator must
constantly scan and collect new information. Quick
information
intakecanoutpacethecognitiveabilityof
the operator. In suchconditions,attention cannot be
evenly shared among the relevant aspects of the
environment and SA soon becomes outdated. The
operatorwilllikelyhavegapsinprojectingthenear‐
futuresituation. To overcomethisproblem, thedata
presented to the operator
should already be
processed. If the operator gets simple, naked data,
thatheneedstoprocessandcombinewitheachother
togetsomepracticableinformation,itwilloccupyhis
limitedworkingmemory.Thisisaccomplishedwith
the supporting systems transition to user‐centred
designsratherthantechnology‐centreddesigns.
The operator, as a human, has natural salient
properties. That means that certain forms of
information that are determined by physical
characteristicswilldrawtheoperato rʹsattention.For
example,movement,redcolour,flashinglight,things
thatarephysicallynearer,loudnoise,orlargershapes
willcatchtheoperatorʹsattention
muchmorethanthe
otherfeature.Asimilarsituationwillbeifwehearthe
wordʹʹFireʹʹinthecrowd.Ahumanperceptualsystem
is more sensitive to particular signal features. Those
salient properties are used to improve SA, but also
maydiminishit.Propertieslikecolourormovement
are
used to draw attention to the most important
information, and this is used as a tool to design a
supporting system. Misplaced silence occurs when
thistoolisoverusedorusedimproperly.Forexample,
less important data may be presented on a larger
display than an important one, and this can
draw
attentionawayfromcrucialinformation.
Withthedevelopmentofnewsupportingsystems,
their complexity grows. Designers do that
unwittingly.Itisdifficultforpeopletoformamental
modelofhowthesystemworks.Training,asthemost
vital solution to this problem, should prepare
operators andgive them
sufficientknowledge about
thesystem.However,inrealitysystemsareconstantly
gettingmorecomplex andthereismore chancethat
operators will have insufficient experience with
systemperformanceinsituationsthatoccurrarely.
With the complexity and errant mental models,
another problem occurs in automated systems.
Automationhelpstoprocessthe
collectedinformation
but also take the operator out‐of‐the‐loop. In this
condition,theoperatordevelopspoorSA,asheisnot
aware of the performance of the automation and
featurestheautomationissupposedtocontrol.Being
out‐of‐the‐loopdoesnotpresentsuchaproblemwhen
automationisperformingwell,butwhenitfails,the
operatorwillnottimelydetecttheproblem.Thiscan
besolvedbyproperlydesignedautomatedsystems.
4
ECDISASASUPPORTINGSYSTEM
In many domains, the main goal of SA is to detect
abnormal or unusual events that can lead to
dangerous or undesired situations. Perceiving and
alerting to such anomalous situations in the vast
amounts of information is then important while
filtering out normal situations. In most
domains,
computer‐basedsupportisnecessaryforreachingthe
highest level of SA. A support system for situation
awareness helps with gathering, processing, and
interpreting the vast amounts of relevant data.
AccordingtoFrancisetal.suchasystempresentsits
outputtoahumanoperator.Withthehelpof
sucha
systemtheoperatorwillgetabetteroverviewofwhat
is happening, and consequently, can make better
decisions and take more effective actions. A system
supporting SA must present its output in an
appropriate and practicable way to a human user.
Using only textual output is not a good
option for
providing vast amounts of vesselinformation.Great
visualization methods are required to enable the
operator to quickly recognize and understand the
current situation, which is required to build event
projectionandreachahighlevelofSA.Inadynamic
environment,itishardfortheoperatorto
haveup‐to‐
date SA. Such an environment provides large
amounts of diverse information and monitoring it
without the assistance of a supporting system, is
almost impossible. The good supporting system
design provides support for individualsʹ limitations
andhelpstoovercomeknownproblems(SAdemons)
forcognitiveprocessing.
In maritime, during
watch keeping, an effective
support system todayisan ElectronicChart Display
and Information System (ECDIS). According to
SOLAS Chapter V, Regulation 19‐Carriage