Abstract

Abstract. This article is part of a research program aimed at improving the location of victims in the mountains. The search for victim location is a process involving various elements, few of them falls within the scope of our team such as the modelling of the process of spatial reasoning of the rescuer and the geovisualization of multidimensional and uncertain information for decision-making. After having reviewed the various scientific challenges we propose a prototype of interface. The strengths of our approach are the transformation of location clues into a list of spatial filters, the addition of these filters within a search scenario to create probable location area(s) as well as the simultaneous management of competing search scenarios. We also present the results of user tests, validating the interest of such an approach to objectify the area of probable location of the victim and obtain a more precise area than during the traditional search approach. Finally, we will discuss the improvements underway on the basis of this prototype, in particular how we plan to better account for the uncertainty in the decision-making process and how we plan to allow a future prototype to suggest questions to the rescuer in order to help him/her refine his/her research.

Highlights

  • In certain cases where no technology such as GNSS is available, mountain rescue workers who receive an emergency call have to process by their own to localise the victim

  • The alert processing is challenges (Olteanu-Raimond et al, 2017): data structuring from heterogeneous textual sources, integration of spatialisable heterogeneous sources, fuzzy qualitative spatial reasoning, geovisualization of multidimensional and uncertain data for decision making, etc

  • This paper focuses on our work related to the development of a geovisualization-based approach for supporting rescuer’s spatial reasoning process when handling an emergency call

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Summary

Introduction

In certain cases where no technology such as GNSS is available, mountain rescue workers who receive an emergency call have to process by their own to localise the victim. The research phase starts with the exploitation of what the caller (the person who triggers the alert, who is not necessarily the victim) says, trying to describe where s/he is currently and/or which path s/he has followed till there. If the search problem is necessarily spatial as “many decisions taken by both the subject and rescuers are influenced by the terrain” (Michal & Robert, 2015), it may obviously benefit from a better exploitation of the information collected during the alert call. Requirements for a geovisualization approach that supports rescuers’ reasoning process

Introducing example
Hypothesis formulation
Imperfect information
Existing work
Overview
Searchable items tree
Representing clues and probable location areas
Taking into account distance and approximating uncertainty
Experimentation
Imperfect information management
Guided information collect for the rescuer
Automatic loading of objects in the current area
Full Text
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