PhD graduated
Team : MOCAH
Departure date : 12/15/2023

Supervision : Thibault CARRON

Co-supervision : MURATET Mathieu

Facilitating the Development of Game-Based Evaluations: Exploration of Behavioral Profile Recognition and Soft Skills of an Individual Through Gamified Situational Judgment Tests

In recent years, the recognition of non-technical and cross-functional skills has become increasingly common in personnel selection and training. To this end, companies have shown a growing interest in using game-based approaches, coupled with computational data, to predict employee behaviour. Human resource professionals are, therefore, seeking and developing reliable and valid tools to identify the right candidate for the right position while simultaneously enhancing selection strategies and candidate engagement.
This thesis explores the exploration and exploitation of game-based approaches in the field of human resources, particularly in recruitment and selection processes. It first delves into the history of game-based approaches, tracing their origins and explaining their evolution up to today’s serious games.
Following that, the thesis presents a meta-framework and two frameworks for designing and creating a gamified situational judgment test (GSJT). A systematic progression is highlighted, spanning from grasping client needs to implementing the GSJT. This meta-framework and frameworks undergo two experimental runs to affirm its effectiveness. Subsequently, a computational psychometric scoring system is introduced to assist GSJT psychometry teams in their scoring endeavors. Several scoring methods are scrutinized, and a hybrid scoring approach is introduced. A third experiment is executed to validate the efficacy of this approach.
The thesis then shifts its focus to the significance of having lifelike non-playable characters for recognizing non-technical skills. Deep learning models are suggested to facilitate the creation of these characters. A final experiment is conducted to gauge the effectiveness of these models.
In conclusion, this thesis provides preliminary contributions to both theory and practical applications concerning the creation and use of game-based methodologies in the human resources sector for behavioural profile recognition.

Defence : 12/11/2023

Jury members :

Thibault Carron, Maître de conférences, LIP6, CNRS, Sorbonne Université
Yvan Peter, Maître de conférences, Centre de Recherche en Informatique, Signal et Automatique de Lille [Rapporteur]
David Panzoli, Maître de conférences, Institut de Recherche en Informatique de Toulouse Rapporteur
Vanda Luengo, Professeure des universités, LIP6, CNRS, Sorbonne Université
Sébastien Iksal, Professeur des universités, Laboratoire d'Informatique université du Mans, Univ. du Mans
Mohamed Chetouani, Professeur des universités, Institut des Systèmes Intelligents et de Robotique, Sorbonne Université

Departure date : 12/15/2023

2021-2023 Publications