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Infinite Personality Space for Non-fungible Robots

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9979))

Abstract

We outline a novel method for defining robot personality for the purposes of individual differentiation. Rather than a designer-developed set of behaviors where a users’ preferences are learned and inserted into pre-written scripts, our approach allows for each robot to have and express a unique personality. This uniqueness reduces the fungibility of the robots, which may lead to increased user engagement.

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Notes

  1. 1.

    “Pepper, the emotional robot, learns how to feel like an American” Wired, 6/7/16.

  2. 2.

    An open question is how different two personalitites must be in order to be perceived as different by humans, we leave this for future work.

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Acknowledements

Many thanks to Michael Gielniak for writing the simlutator and running studies, and to Dave Hygh, Quentin Michelet, and Patrick Martin for making the robots and keeping them running.

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Correspondence to Daniel H. Grollman .

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© 2016 Springer International Publishing AG

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Grollman, D.H. (2016). Infinite Personality Space for Non-fungible Robots. In: Agah, A., Cabibihan, JJ., Howard, A., Salichs, M., He, H. (eds) Social Robotics. ICSR 2016. Lecture Notes in Computer Science(), vol 9979. Springer, Cham. https://doi.org/10.1007/978-3-319-47437-3_10

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  • DOI: https://doi.org/10.1007/978-3-319-47437-3_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47436-6

  • Online ISBN: 978-3-319-47437-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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