70
The experimental control module fulfilled the
three main tasks processing of simulator output, tar-
get control and control of SA questioning.
The experimental control module read and pro-
cessed the data of own ship’s GPS output signal and
the AIS signals of the other vessels provided to the
navigational equipment (e.g., the radar, ECDIS or
the MKD) on the bridge. This allowed the SA ques-
tions to be posed using real-time data. Therefore, the
software offered the possibility to show during the
simulation the movement of own ships and the other
vessels on a chart background and to offer sugges-
tions to change the course or speed of the vessels in
case of course or speed alterations of the own ship in
order to present the SA questions in similar traffic
situations for all participants.
4.5 Presentation of SA questions on the bridge
When the scenarios were “frozen” to present the
subjects the SA questions, the simulation was sus-
pended, all task relevant information was removed
from the navigational equipment on the bridge and
the outside view was blanked. The SA questions
were then administered on two displays on the
bridge. Whereas on one of the displays the questions
were presented, on the other display additional
graphical information for certain questions were dis-
played (see Fig. 2).
This offered the four techniques to ask the SA
questions, depending on the topic, complexity and
the easiest way to present and to answer the ques-
tions:
− numeric open-end questions: Questions appeared
on the question display as numeric open-end
questions, e.g., what is your heading after the
next waypoint. No graphical information was pre-
sented on the graphical information display. To
answer the questions the subjects had to type in
the right answer and then to click on the continue
button to proceed with the next question
− open-end questions with graphical answer: The
question after the position of the vessel appeared
on the question display as open-end question (in-
struction) and had to be answered on the graph-
ical information display by clicking on the chart
background.
− numeric open-end questions with additional
graphical information: Questions appeared on the
question display as open-end questions with addi-
tional information presented on the chart of the
graphical information display, e.g., the target in-
volved in the question. To answer the questions
the subjects had to type in the right answer and
then click on the continue button to proceed with
the next question
− multiple choice questions with additional graph-
ical information: Questions appeared on the ques-
tion display as multiple choice questions and on
the graphical information display question related
information was presented on the chart back-
ground. To answer the questions the subjects had
to select the right answer and then to click on the
continue button to proceed with the next question.
A preliminary question-pool of about 70 ques-
tions had been developed referring to the navigation
of the vessel focusing on route monitoring and colli-
sion avoidance. The questions were evaluated in pre-
tests which had the aim of selecting the most rele-
vant questions, of testing the content and under-
standability, and to reduce the number of questions
resulting in a set of 16 questions on three levels (see
Table 1 for examples).
4.6 Traffic scenarios
The SAGAT approach required the development of
realistic scenarios based on specific criteria, e.g.,
course change of own ship, navigational hazards,
traffic density, and “interest/danger” of targets. The
criteria for traffic density and “interest” of targets
are:
− total number of targets - 20
− number of targets within a 3 NM range - 10
− number of targets within a 3 NM range: close
quarter targets (CPA: 0.5 - 1.5 NM); with a colli-
sion course, overtaking own ship or overtaken by
own ship - 5
− number of targets, which cause a reaction because
of collision course - 1.
Figure 3: Singapore scenario at the first freezing.
On the basis of these criteria four traffic scenarios
with duration of 21.5 - 25 minutes were developed,
as well as one familiarization/habituation scenario.
To ensure that the previous knowledge of traffic and
of the sea area doesn’t influence the results (i.e. a
learning effect was controlled for), the scenarios rep-
resent different traffic situations for the Juan de Fuca
Strait / Strait of Georgia (familiarization scenario),
English Channel and Singapore. Figure 3 shows one
Singapore scenario at the time of the first freezing.
In the pre-trials the traffic scenarios were evaluated
in respect to realism, relevance and complexity.