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NAO Robot, Transmitter of Social Cues: What Impacts?

The Example with “Endowment effect”

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Advances in Artificial Intelligence: From Theory to Practice (IEA/AIE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10350))

Abstract

Assuming that social norms are engaged in all human-human interactions in an automatic manner, how to program a robot as to activate respect of social norms from humans? We argue that endowment effect, constituting a bias in decision making, could be produced by a “politeness effect” within the exchange paradigm of Knetsch (1989). To test this hypothesis, NAO, a humanoid robot took the place of the human experimenter and was programmed to behave in a neutral way, annihilating all non-verbal social cues emission. In this condition, politeness rules had been respected by minority in contrast with the same methodology lead by a human. Following this experiment, NAO was programmed as to re-activate social norms, using several non-verbal social cues: face tracking, intonations of voice and gestures. First results in this way tend to show the impact of non-verbal social cues, producing an endowment effect again.

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Acknowledgements

Financial support for this work was provided, by a grant from the ANR Chorus 2011(project BTAFDOC), and by a grant of Institut des Sciences Complexes (2014-ISC-PIF petits et moyens équipements).

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Authors and Affiliations

  1. CHArt (P-A-R-I-S), Paris 8 and University and EPHE, Paris, France

    Olivier Masson, Jean Baratgin & Frank Jamet

  2. Institut J. Nicod, ENS, Paris, France

    Jean Baratgin

  3. University of Cergy-Pontoise, Cergy, France

    Frank Jamet

Authors
  1. Olivier Masson
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  2. Jean Baratgin
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  3. Frank Jamet
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Corresponding author

Correspondence to Olivier Masson .

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Editors and Affiliations

  1. Artois University, Lens, France

    Salem Benferhat

  2. Artois University, Lens, France

    Karim Tabia

  3. Texas State University, San Marcos, Texas, USA

    Moonis Ali

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Masson, O., Baratgin, J., Jamet, F. (2017). NAO Robot, Transmitter of Social Cues: What Impacts?. In: Benferhat, S., Tabia, K., Ali, M. (eds) Advances in Artificial Intelligence: From Theory to Practice. IEA/AIE 2017. Lecture Notes in Computer Science(), vol 10350. Springer, Cham. https://doi.org/10.1007/978-3-319-60042-0_62

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  • DOI: https://doi.org/10.1007/978-3-319-60042-0_62

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60041-3

  • Online ISBN: 978-3-319-60042-0

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