5th International Conference on Human Agent Interaction

17 October 2017 - 20 October 2017
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HAI 2017 is the 5th annual International Conference on Human-Agent Interaction. It aims to be the premier interdisciplinary venue for discussing and disseminating state-of-the-art research and results that have implications across conventional interaction boundaries including robots, software agents and digitally-mediated human-human communication.

The theme for HAI 2017 is “How autonomy shapes interaction”. During the last decade a large body of research has been devoted on increasing the interaction quality with artificial agents. This has now reached a quite convincing level for focused application scenarios. However, with robots and agents entering our everyday lives such scenarios will require more initiative and flexibility from the agent, i.e. more autonomy.
Such autonomous behavior means, on the other hand, that the interaction will become less predictable. This may become problematic given the strong research focus on statistical behavior models that focus on observable behavior based on rather shallow structures. These models may not be able to capture the underlying interaction structure in less restricted scenarios. We thus need a better understanding and model of the underlying interaction principles that not only takes situational and task aspects into account but also includes detailed user models.
Therefore, a stronger research focus is needed to better understand the underlying principles of interaction between autonomous agents, leading to better and deeper models of interaction. We thus encourage contributions that try to tackle this question by focusing on more realistic and life-like scenarios.

The conference seeks contributions from a broad range of fields spanning engineering, computer science, psychology and sociology, and will cover diverse topics, including: human-robot interaction, affective computing, computer-supported collaborative work, gaming and serious games, artificial intelligence, and more.