The "Socially Aware Interactions" micro-project aims to address the following limitations of scripted dialogue training systems:

• Dialogue is not self-made: players are unable to learn relevant communication skills
• Dialogue is predetermined: agent does not need to adapt to changes in the context
• Dialogue tree is very large: editor may have difficulty managing the dialogue

In order for systems to function effectively in cooperations with humans and other AI systems they have to be aware of their social context. Especially in their interactions they should take into account the social aspects of their context, but also can use their social context to manage the interactions. Using the social context in the deliberation about the interaction steps will allow for an effective and focused dialogue that is geared towards a specific goal that is accepted by all parties in the interactions.

In this project we start with the Dialogue Trainer system that allows for authoring very simple but directed dialogues to train (medical) students to have effective conversations with patients. Based on this tool, in which social context is taken into account only through the authors of the dialogue, we design a system that actually deliberates about the social context.