文摘
In this paper we present a collaborative serious game for conflict management training in a role-playing scenario. The game ColCoMa (Collaborative Conflict Management) engages two players to participate in a conversation lead by an AIML chat bot mediator in a 2D virtual environment. Learning how to behave in conflict solving talks is supported by the separation of the game into a conversation phase and a reflection phase, causing players to change their perspective. Additionally, the learning process is emphasized by means of adaptive feedback based on individual analyses. Due to a multi-agent architecture approach, our implementation can be used as an easily adaptable framework for related collaborative learning scenarios.