ContextTrust is essential for maintaining and developing effective and efficient group cohesion, particularly in Computer-Supported Cooperative Work (CSCW) in sensitive sectors such as civil security where collaborative activities are crucial (Carroll et al., 2003; Cooke et al., 2013; Endsley, 1995). An increasing number of groupware systems aim at providing users with awareness information, i.e., information about the presence, activities, and availability of the other users of the same system (Bente et al., 2008; Xiu, Tredan & Datta, 2014). However, most of these systems are only designed from a functional rather than a human-oriented point of view (Engeström, 2000; Schmidt, 2000, 2002a, 2002b). In fact, designers of awareness features more often focus on technical challenges and “realisability” than on adequate support of group awareness information. Lack of trust leads to a shared loss of situational awareness, a lack of exchanges or voluntary with holding information and in fine, can become a barrier to development of expertise and skills.
By combining the theoretical and methodological points of view issued from psychology, human factors and computer science, the PhD thesis will focus on three complementary objectives: (1) to determine the factors involved in building a shared awareness of the situation during collaborative activities related to civil security (e.g., individual factors, organizational factors, context); (2) to determine the weight and the relationship between these variables; and (3) provide a guideline for helping the design of a prototype of a digital device for maintaining and developing the shared situational awareness during collaborative activities including requiring the sharing of information related to civil security. From an applied point of view, on the basis of this PhD thesis, a truly interdisciplinary discourse will be established, since it does not only lay ground for novel conceptual and methodological inputs for CSCW and the social sciences, but also brings benefits in terms of synergistic effects for group members.
PhD supervisors: Jérôme DINET (60%, Professor of Psychology, Lab InterPsy, EA 4432) & François CHAROY (40%, Professor of Computer science, LORIA/Inria – TELECOM Nancy, UMR 7503)
Main laboratory: Lab of psychology “InterPsy” (EA 4432)
Other lab implied: LORIA/Inria (UL, UMR 7503)
Thesis committee: Jérôme DINET (UL ; Psychology and ergonomics), François CHAROY (UL ; Computer science), Claudia IGNAT (INRIA; Computer science), Olivier PERRIN (UL ; Computer science), Gérald OSTER (UL ; Computer science), Valérie SHALIN (Wright State University ; Human factors)
How to apply
In order to prepare a PhD thesis within the Lorraine Université d’Excellence Program, the interested candidate should consult the PhD topics offered in each social and economic challenges.
These PhD thesis topics are proposed by faculty members or researchers accredited to supervise research.
Candidate application period: according to graduate school schedule (visit each topic)
Each candidate may submit an application on up to three separate research topics.
Application analysis period by each graduate school
The graduate school reviews the applicants for a doctoral contract in the relevant disciplines. They check the level of supervision for each supervisor and the situation of trained doctors. Each candidate will meet the laboratory director, supervisor and a representative from the graduate school. This interview is to identify the candidate’s motivations and suitability as a candidate for the PhD project proposed by the supervisor. A recommendation will be made to the graduate school. This will summarize the strengths and/or weaknesses of the application.
PhD grants will include monthly income for the PhD student (roughly 1700 € for research only, complement can be provided for teaching missions) and environment for research in the research unit.
Please be aware that in order to offer a variety of subjects, more positions are posted here than available funding. The LUE executive committee will make the final choice on the granted funding (up to 12 positions), based on the recommendations by the doctoral schools.