The facial expression recognition system can
provide information about the emotional state of the
workers. In Figure 3 there is the output of the facial
expression recognizer, presented in (Cohen et al.,
2003). The output is a 7-components vector: each
value is a probability for the related emotion (happy,
sad, neutral, surprise, angry, disgust, fear). As shown
in (Carver, 2007), the feelings of each emergency
worker could influence the activities performed to
solve the crisis: we propose the use of facial
recognition to provide non conventional and
intelligent interfaces.
For example, in a normal situation, we could
assume that a manager in charge of first aids in case
of big disaster (e.g. a Civil Protection Manager),
would have to monitor many information. Thus, a
system operating in normal status will provide her
with many data about logistics (hospitals,
ambulances availabilities, fire-fighters), equipments
(units equipped for chemical crisis, nuclear crisis,
etc), communications (governmental phonebook,
faxes and relevant points of contact), etc. When a
crisis occurs, all this information could overload the
manager abilities. By using a face and emotion
recognition module, the system could adapt the
information presentation and functions to the
manager’s level of stress; in this way, the system
could present a map locating the relevant resources
(ambulances, hospitals, etc) providing a synthesised
view.
5 CONCLUSIONS
The relation between collaboration and emergency
management is a very interesting research area that
combines principles from Computer Supported
Cooperative Work (CSCW) and the domain of
emergency. In these last years, the emergency
management is gaining importance and relevance: in
fact, big crisis like Katrina, have highlighted the lack
of an effective system to prevent, manage and solve
this kind of situation. For this reason, the
collaboration in the emergency management is
fundamental both for communication between users
and for shared information and resources.
We have studied various approaches present in
literature on the domain of emergency management
systems that also provide information about
organization of emergency processes. To obtain
additional information about these main points, we
have analysed the involvement of real users. The
proposed questionnaire was, in particular, about the
communication tools used by emergency worker to
collaborate during the solution of an emergency.
From results of the conducted experiment and
considering the theory of the Computer Supported
Cooperative Work, we have adapted the time/space
matrix at the domain of emergency management.
Moreover and we have proposed possible solutions
to improve the collaboration in emergency
management system. Examples are the IP phone and
the whiteboard as devices, the facial expression
recognizer as an add-on of the system.
In conclusion, this work provides a proposal for
different technologies that an emergency
management system could provide to help the
collaboration between its users. Future works will be
to study the use of the proposed technologies in the
different phases of emergency management;
furthermore we believe that studying the use of non-
conventional interfaces could be of great help in the
systems supporting emergency control rooms.
ACKNOWLEDGEMENTS
This work has been partly funded by the UIA4SIGE
project (Ministry of Science and Innovation
TSI2007-60388).
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