Abstract
The Expressive Agents for Symbiotic Education and Learning project explores human-robot symbiotic interaction with the aim to understand the development of symbiosis over long-term tutoring interactions. The final EASEL system will be built upon the neurobiologically grounded architecture - Distributed Adaptive Control. In this paper, we present the design of an interaction scenario to support development of the DAC, in the context of a synthetic tutoring assistant. Our humanoid robot, capable of life-like simulated facial expressions, will interact with children in a public setting to teach them about exercise and energy. We discuss the range of measurements used to explore children’s responses during, and experiences of, interaction with a social, expressive robot.
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Notes
- 1.
Wizard of Oz style control is available should the ASR fail to adapt to an individual child’s voice.
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Acknowledgments
This work was supported by European Union Seventh Framework Programme (FP7-ICT-2013-10) under grant agreement no. 611971. We thank Theo Botsford and Jenny Harding for their assistance in scenario development.
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Cameron, D. et al. (2016). Designing Robot Personalities for Human-Robot Symbiotic Interaction in an Educational Context. In: Lepora, N., Mura, A., Mangan, M., Verschure, P., Desmulliez, M., Prescott, T. (eds) Biomimetic and Biohybrid Systems. Living Machines 2016. Lecture Notes in Computer Science(), vol 9793. Springer, Cham. https://doi.org/10.1007/978-3-319-42417-0_39
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DOI: https://doi.org/10.1007/978-3-319-42417-0_39
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