Human-Robot Artistic Co-Creation: a Study in Improvised Robot Dance
Autor: | Oscar Thörn, Peter Knudsen, Alessandro Saffiotti |
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Rok vydání: | 2020 |
Předmět: |
0209 industrial biotechnology
Dance Computer science 06 humanities and the arts 02 engineering and technology Fuzzy logic GeneralLiterature_MISCELLANEOUS Human–robot interaction Domain (software engineering) 020901 industrial engineering & automation Human–computer interaction 060402 drama & theater Robot Humanoid robots Performing arts Human-robot interaction Jazz Music 0604 arts |
Zdroj: | RO-MAN 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) |
DOI: | 10.1109/ro-man47096.2020.9223446 |
Popis: | Joint artistic performance, like music, dance or acting, provides an excellent domain to observe the mechanisms of human-human collaboration. In this paper, we use this domain to study human-robot collaboration and co-creation. We propose a general model in which an AI system mediates the interaction between a human performer and a robotic performer. We then instantiate this model in a case study, implemented using fuzzy logic techniques, in which a human pianist performs jazz improvisations, and a robot dancer performs classical dancing patterns in harmony with the artistic moods expressed by the human. The resulting system has been evaluated in an extensive user study, and successfully demonstrated in public live performances. |
Databáze: | OpenAIRE |
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