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Ph.D de

Ph.D
Group : Human-Centered Computing

Utilisation collaborative d'un mur d'écran en contexte critique

Starts on 01/10/2014
Advisor : CHAPUIS, Olivier

Funding : contrat doctoral du Ministère
Affiliation : Université Paris-Sud
Laboratory : LRI - HCC

Defended on 15/12/2017, committee :
Directeur de thèse :
- M. Olivier Chapuis, Chargé de Recherche, CNRS

Co-encadrante de thèse :
- Mme Anastasia Bezerianos, Maître de Conférence, Université Paris-Sud

Rapporteurs :
- M. Stéphane Conversy, Professeur, ENAC
- M. Raimund Dachselt, Professeur, Technische Universität Dresden

Examinateurs :
- M. Edward Lank, Professeur associé, University of Waterloo
- M. Jean-Daniel Fekete, Directeur de Recherche, Inria

Research activities :

Abstract :
In this thesis, I study the benefits of collaboration using an Ultra-High Resolution Interactive Wall Display (UHRWD). I focus on the specific collaborative context of control rooms. Visits of control rooms and interviews with operators show that different degrees of collaboration are required in function of the situation. I believe that a UHRIWD could be beneficial in situations when close collaboration is needed. I first show that wall display encourages close collaboration compared to multiple separate displays. Then I show that the interaction techniques can also influence the degree of collaboration, for instance, a technique with a large visual footprint also encourages a close collaboration. I apply this in the design of technique to visualize road traffic forecast on a wall display for road traffic control centres. Finally, I propose techniques to help the transition between the different setups of a control room: the workstations and the wall display.

Ph.D. dissertations & Faculty habilitations
FORMAL VERIFICATION FOR NUMERICAL COMPUTATIONS,AND THE OTHER WAY AROUND


CALCUL DE BICARACTèRES D'ESPACES DE POLYNôMES MULTIVARIéS à VARIABLES INERTES


LINKED DATA AT UNIVERSITY : THE LINKEDWIKI PLATFORM
The Center for Data Science of the University of Paris-Saclay deployed a platform compatible with Linked Data in 2016. Because researchers face many difficulties utilizing these technologies, an approach and then a platform we call LinkedWiki were designed and tested over the university’s cloud (IAAS) to enable the creation of modular virtual search environments (VREs) compatible with Linked Data. We are thus able to offer researchers a means to discover, produce and reuse the research data available within the Linked Open Data, i.e., the global information system emerging at the scale of the internet. This experience enabled us to demonstrate that the operational use of Linked Data within a university is perfectly possible with this approach. However, some problems persist, such as (i) the respect of protocols and (ii) the lack of adapted tools to interrogate the Linked Open Data with SPARQL. We propose solutions to both these problems. In order to be able to verify the respect of a SPARQL protocol within the Linked Data of a university, we have created the SPARQL Score indicator which evaluates the compliance of the SPARQL services before their deployments in a university’s information system. In addition, to help researchers interrogate the LOD, we implemented a SPARQLets-Finder, a demonstrator which shows that it is possible to facilitate the design of SPARQL queries using autocompletion tools without prior knowledge of the RDF schemas within the LOD.