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A Humane-AI-Net micro-project that aims to address the limitations of scripted dialogue training systems.
The "Socially Aware Interactions" micro-project aims to address the following limitations of scripted dialogue training systems:
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.
This project's goal is the creation of a flexible dialogue system, in which a socially aware conversational agent will deliberate and provide context-appropriate responses to users, based on defined social practices, identities, values, or norms. Scenarios in this dialogue system should be easy to author as well.
The main result is a Python prototype of a dialogue system with an architecture based on Cognitive Social Frames and Social Practices, whose dialogue scenarios are easy to edit in a widely used tool called Twine. We also submitted a workshop paper.
This Humane-AI-Net micro-project was carried by Umeå University (UMU) and Instituto Superior Técnico (IST).
Tangible outcomes: