To establish end-user requirements recurring interviews and
workshops were conducted with disaster managers and
technicians from THW and training exercises observed. These
revealed a number of areas for potential improvements that
could be addressed through multi-touch table interfaces. In an
iterative process these were refined into application scenarios
from which concrete requirements were then identified.
1.3 Goal
The overall goal is to improve the management of large-
scale disaster situations and complex emergencies by
providing crisis managers with an interactive mapping system
that aims to improve their effectiveness. With digital map
repositories and the proliferation of new sensors the problem of
disaster managers increasingly changes from one where
information is missing to one where the required information is
too difficult to access and analyse.
2. STATE OF THE ART
Fig. 1: THW rescue workers using conventional management
tools
2.1 Geo-Information in disaster management
A critical factor in the management of disaster situations is the
access to current and reliable data (van Osterom et. al., 2005).
Potential data sources that can be used in disaster management
can be distinguished according to their platform and sensor —
ranging from existing maps and aerial images over the use of
mobile sensors with the rescue personal (e.g. for status
monitoring) to dedicated sensor platforms — e.g. airborne or
space borne sensors.
New sensors have many promising properties to capture the
required data when and where required, e.g. in the case of SAR
(synthetic aperture radar) geo-spatial data can be acquired
irrespective of weather-conditions and visibility. Key challenge
in data gathering and analysis are the control of such sensors,
the real-time integration of the data and the automation of the
data analysis where possible. The supply of spatial data for
disaster management has been improved tremendously by new
sensors (Video, SAR, LIDAR) and data acquisition platforms
(satellites, UAVs). Satellite communications technology
provides near-real-time access to pictures, videos, sensor data
and other information worldwide. However, in many cases this
is not well integrated into crisis management systems and often
the capabilities to analyse and use the data lag behind the sensor
capabilities.
In the management of disaster situations much of the relevant
data is of spatial nature (environment, location of resources) and
one key challenge is to effectively integrate and unify spatial
56
data from different sources. Geographic Information Systems
(GIS) are well established to deal with the acquisition, storage,
analysis and presentation of spatial data and commercial GIS
are established tools in the management of crisis situations in
many agencies. Central challenges arise in the user interface, the
integration of data and the integration with other systems. While
the integration of static data from different providers is
addressed by initiatives like INSPIRE (Inspire, 2012), a special
challenge remains due to the fact that the data required during
disasters, and other dynamic environments, requires high
bandwidth sensors at the time of use (or close to it) that is
difficult to handle, analyse and represent. Especially in dynamic
crisis situations conventional cartographic displays and standard
mouse based interaction techniques fail to address the needs of
crisis managers that need to review a situation and act on it as a
team. Similarly, current GIS interfaces are not well adapted to
use "in the field" — the extension of GIS with novel techniques
for real-time data handling and advanced interaction techniques
is required to make the available information accessible and
useful to the different user groups.
2.2 Advanced interaction and visualization techniques
Planning for and managing large scale emergencies is a
complex activity and a system for disasters control management
processes presents a number of spatially related problems and
an overwhelming quantity of information. One of the problems
in disaster management is to get an overview of the situation
and to share relevant information with others. Access to the
relevant information is critical due to effective, collaborative
decision-making during emergency management situations.
However, standard user interfaces are not well suited for
multiuser access. In the recent years multimodal interfaces have
acquired an important role in human computer interaction
applications, e.g. under the heading of natural user interfaces
(NUI), sometimes referred to as reality-based interaction (Jakob
et. al., 2008] and tangible interaction (Ishii, 2008).
While many benefits of NUI techniques have been
demonstrated in research projects there are currently no
established toolkits and design expertise on the use of such
techniques in large scale interfaces for real-world applications.
2.3 The useTable
A representative example of emerging large-scale multi-touch
interaction devices is the useTable developed at C-LAB
(UseTable, 2012). The useTable is a flexible visualization table
that supports multi-touch, tangible and pen-based interaction
(Fig. 2). Compared to off-the-shelve solutions this approach
enables us to adapt the technologies and techniques to the
application and does not require the design towards the
constraints of a given hardware environment. As part of the
feedback throughout the design process the useTable has
evolved into an interaction environment adapted to disaster
management requirements.
The useTable consists of a 55” display that offers full HD image
projection. The projector is mounted beneath the surface and
the image is projected to the top using two mirrors. For finger-
tracking FTIR (Frustrated Total Internal Reflection) is applied
and objects on the surface are tracked using a combined DI
(Diffused Illumination). The camera on the bottom of the table
is equipped with a corresponding IR filter and is connected to a
tracking PC that applies the filter and tracking algorithms. The
projection surface is equipped with an anti-reflex diffusor sheet
that enabl
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