Social Practices for Social Driven Conversations in Serious Games
Agnese Augello, Manuel Gentile, Frank Dignum

TL;DR
This paper introduces a social practice framework for managing conversations in serious games aimed at training physicians, utilizing a probabilistic model for selecting appropriate social practices to enhance communication skills training.
Contribution
It presents a novel integration of social practice theory with probabilistic social practice selection within a serious game for medical communication training.
Findings
Developed a probabilistic model for social practice selection
Enhanced conversation management in serious games
Supported physician communication skills training
Abstract
This paper describes the model of social practice as a theoretical framework to manage conversation with the specific goal of training physicians in communicative skills. To this aim, the domain reasoner that manages the conversation in the Communicate! \cite{jeuring} serious game is taken as a basis. Because the choice of a specific Social Practice to follow in a situation is non-trivial we use a probabilistic model for the selection of social practices as a step toward the implementation of an agent architecture compliant with the social practice model.
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