Collaborative Storytelling in Argument-Based Micro-Dialogues to Improve Health
The aim of the project is to explore and develop theories, methods and technologies, partly together with health experts and future users, in order to enable artificially intelligent systems that can meaningfully cooperate with humans.
The focus is on dialogues between humans and artificially intelligent software agents, which include causal reasoning and interactive and collaborative storytelling in argumentation-based micro dialogues; about the past, present and future in so-called "what-if" scenarios.
The project addresses fundamental challenges in the field of human-centric artificial intelligence - AI that can collaborate with humans and enhance their capacity and ability to achieve their goals. This will be done in the context of supporting the individual in their determination to change behaviour to improve their health. The project is based on Västerbotten's health surveys where the information collected will provide the basis for a user model that the agent can use to generate a kind of understanding of the human being in order to provide a personalised support. We examine how the user model can be used to create a so-called "digital twin" that the person could interact with, manipulate and that the person and the digital agent could use as a tool in the collaboration to improve the health of the individual.