Supervision : Vanda LUENGO

Co-supervision : YESSAD Amel, MURATET Mathieu

Automatic Detection of peer interactions in Multi-Player Learning Game

This thesis is supervised by Mathieu Muratet, Amel Yessad and Vanda Luengo (thesis director). The goal of this work is to allow the automatic detection of peer interactions that could emerge from a multi-player learning game scenario before any use of it.
The peer interactions contribute to the motivation and involvement of learners in their learning process. The work undertaken in this thesis propose models and analysis tools to allow game designers to obtain information on the peer interactions that could emerge from their game without requiring players’ traces. Thus, the designers could rely on those information to modify their scenarios to match with their needs towards peer interactions. In order to fulfill this goal, we brought three main contributions.
The first contribution is an ontology thanks to which it becomes possible to model multi-player learning games scenarios with various granularity levels. The interactions are often abstractly defined; the second contribution aims to help their formalization thanks to low-level features. Interactions formalized in a such a way become automatically detectable. The third contribution is a set of algorithm dedicated to the analysis of the modeled scenario in order to detect the various interactions that could emerge from it.
The ontology has been tested on various serious games scenarios. The two other contributions have been put to the test through an experimentation carried out on a game created in the scope of this thesis.

2017-2019 Publications

• 2019
  • M. Guinebert : “Détection automatique des interactions entre apprenants dans les jeux sérieux multi-joueurs dédiés a l’apprentissage”, thesis, phd defence 09/20/2019, supervision Luengo, Vanda, co-supervision : Yessad, Amel, Muratet, Mathieu (2019)
  • M. Guinebert, A. Yessad, M. Muratet, V. Luengo : “Automatic Detection of Peer Interactions in Multi-player Learning Games”, European Conference on Technology Enhanced Learning 2019, Delft, Netherlands (2019)
  • M. Guinebert, A. Yessad, M. Muratet, V. Luengo : “Détection Automatique d’Interactions entre Pairs dans les Jeux Sérieux Multi-Joueurs”, Environnements Informatiques pour l’Apprentissage Humain 2019, Paris, France (2019)
• 2018
  • M. Guinebert, M. Muratet, A. Yessad, V. Luengo : “Analysis of peer interactions features in Multi-Player Learning Games: semi-automatic approach and proof of concept”, European Conference on Games Based Learning, Sophia Antipolis, France (2018)
• 2017
  • M. Guinebert, A. Yessad, M. Muratet, V. Luengo : “An Ontology for Describing Scenarios of Multi-players Learning Games: Toward an Automatic Detection of Group Interactions”, EC-TEL 2017, Tallinn, Estonia, (Springer International Publishing) (2017)