Description and aim
“Interactive intelligence” underlies, and emerges during, the repeated interaction of human or artificial actors who cooperate to achieve a joint goal. Based on this higher-level intelligence, these actors are able to
1) engage in a fluent and robust communication with their partners,
2) interpret the social situation,
3) take decisions that are cognitively and emotionally grounded and justified, and
4) adapt their output to appropriately support and stimulate the actors they interact with.
More and more, technical systems penetrate our daily lives and start to meet humans as “daily” assistants or companions, setting a fundamental need to incorporate such intelligence.
In this workshop, we bring together researchers from computer science, artificial intelligence, cognitive science and social science to discuss and set a roadmap for the research into new models, methods and techniques for the design and evaluation of interactive intelligence. Discussion will be driven by theories and real cases presented by experts in the field.