Abstract
This paper discusses a novel approach towards socializing non-anthropomorphic robots, which harnesses the expert knowledge of dancers to develop abstract robot morphologies and their capacity to move in affective and expressive ways. We argue that movement offers a key to socializing non-anthropomorphic robots. Our Performative Body Mapping (PBM) method investigates the possibility of using human movement experts to teach non-humanlike robots to move and interact. The paper outlines the conceptual framework of PBM and discusses an ongoing pilot study that engages professional dancers to study the relationship between abstract, simple morphologies and their potential to move in expressive, socially encoded ways.
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Acknowledgment
The workshops discussed in this paper was supported by a University of New South Wales (UNSW) Research Grant (RG142730) and the ongoing research is supported under the Australian Research Council’s Discovery Projects funding scheme (project number DP160104706).
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Gemeinboeck, P., Saunders, R. (2016). Towards Socializing Non-anthropomorphic Robots by Harnessing Dancers’ Kinesthetic Awareness. In: Koh, J., Dunstan, B., Silvera-Tawil, D., Velonaki, M. (eds) Cultural Robotics. CR 2015. Lecture Notes in Computer Science(), vol 9549. Springer, Cham. https://doi.org/10.1007/978-3-319-42945-8_8
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