toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
Details
   print
  Record Links
Author (up) Samer Chehade; Nada Matta; Jean-Baptiste Pothin; Remi Cogranne pdf  isbn
openurl 
  Title Ontology-Based Approach for Designing User Interfaces: Application for Rescue Actors Type Conference Article
  Year 2020 Publication ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2020  
  Volume Issue Pages 54-65  
  Keywords Interactions, Modelling, Ontologies, Rescue Operations, User Interface Design.  
  Abstract Nowadays, rescue actors still lack backing to exchange information effectively and ensure a common operational picture. Several studies report a low adoption of communication systems in rescue operations as well as a negative position of actors to such systems. The real needs of stakeholders, simply put, are not satisfied by the offered systems. Observing this circumstance through a user-centred design focal point, we notice that such issues ordinarily originate from inadequate design techniques. For this reason, we aim to implement Rescue MODES, a communication system oriented to support awareness amongst French actors in rescue operations based on their needs. In this paper, we propose an approach and introduce a platform that allows final users to design system interfaces in a customised way. This approach is based on an application ontology and an interaction model.  
  Address Department of Research and Development, DataHertz, Troyes, France; Institut Charles Delaunay, TechCICO, Université de Technologie de Troyes, Troyes, France; Department of Research and Development, DataHertz, Troyes, France; Institut Charles Delaunay, M2S, Université de Technologie de Troyes, Troyes, France  
  Corporate Author Thesis  
  Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Amanda Hughes; Fiona McNeill; Christopher W. Zobel  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 978-1-949373-27-6 ISBN 2411-3392 Medium  
  Track AI Systems for Crisis and Risks Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management  
  Notes Samer.chehade@datahertz.fr Approved no  
  Call Number Serial 2207  
Share this record to Facebook
Select All    Deselect All
 |   | 
Details
   print

Save Citations:
Export Records: