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Serious games pour la e-santé : application à la formation des médecins généralistes

Abstract : Serious games are games designed for a primary purpose other than pure entertainment. More and more, serious games are developed and used in the health area as educational tools dedicated to medical knowledge training, or helping with the recovery of the patients. Communication and interpersonal skills for general practitioners in medical consultation play an important role in providing high-quality health care and establishment of good doctor-patient relationship. However, specific trainings on communication skills for doctors and medical school students are often overlooked. Comparing to traditional training approaches by using role-playing and standardized patients, an educational tool in form of a game can maximize the variety of scenario, reduce the limitation and enhance learner's motivation. For the above purposes, in this thesis we are interested in the design of a serious game for training general practitioners, in particular on communication skills learning. We are particularly interested in design methodologies of such a game, which is able to deliver a utility content while balancing learning and entertainment. To conduct this work, firstly we present an analysis of existing methods of serious games design by studying the mechanisms to motivate the player as well as the main design patterns. We explain how serious games require a special architecture in the design phase whose main characteristic is to clearly separate the concepts necessary for learning to those associated with the fun aspect. We then propose a model of medical consultation based on our analyses of identification of key concepts in the medical consultation process. This model is used to represent the different elements required for algorithmic implementation of a dialogue engine between a doctor and a patient. Our modeling uses ontologies to describe involved domain knowledge and show how a medical consultation scenario can be described in terms of instances of these ontologies. The proposed ontologies include four levels which describe the patient's profile, the result of consultation, the scenario and the phrase respectively. This description is available to the trainers and domain experts by using the authoring tool thus allows them to define the educational objectives for the player-learner during the simulation process. Finally these models are implemented and applied to the case of medical consultation. We represent the architecture of a serious game that we've designed called AgileDoctor. This game aims to enable a learner to play the role of a doctor who conducts medical consultations facing the patients of various profiles.
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Jing Guo. Serious games pour la e-santé : application à la formation des médecins généralistes. Intelligence artificielle [cs.AI]. Université Paul Sabatier - Toulouse III, 2016. Français. ⟨NNT : 2016TOU30288⟩. ⟨tel-01700901⟩

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