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Studying Gender Bias and Social Backlash via Simulated Negotiations with Virtual Agents

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Intelligent Virtual Agents (IVA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10498))

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Abstract

This research investigates whether (female and male) virtual negotiators experience a social backlash during negotiations with an economical outcome when they are using a negotiation style that is congruent with the opposite gender. An interactive turn-based negotiation using a virtual agent as employee is used in an experiment with 93 participants. Results show that the effect of gender on negotiation outcome and social backlash was less pronounced in this experiment than expected based on existing literature. Nevertheless, the results found provide several interesting pointers for follow-up research.

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Authors and Affiliations

  1. VU Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands

    L. M. van der Lubbe & T. Bosse

Authors
  1. L. M. van der Lubbe
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  2. T. Bosse
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Corresponding author

Correspondence to T. Bosse .

Editor information

Editors and Affiliations

  1. KTH Royal Institute of Technology, Stockholm, Sweden

    Jonas Beskow

  2. KTH Royal Institute of Technology, Stockholm, Sweden

    Christopher Peters

  3. Uppsala University, Uppsala, Sweden

    Ginevra Castellano

  4. Trinity College, Dublin, Ireland

    Carol O'Sullivan

  5. KTH Royal Institute of Technology, Stockholm, Sweden

    Iolanda Leite

  6. University of Bielefeld, Bielefeld, Germany

    Stefan Kopp

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van der Lubbe, L.M., Bosse, T. (2017). Studying Gender Bias and Social Backlash via Simulated Negotiations with Virtual Agents. In: Beskow, J., Peters, C., Castellano, G., O'Sullivan, C., Leite, I., Kopp, S. (eds) Intelligent Virtual Agents. IVA 2017. Lecture Notes in Computer Science(), vol 10498. Springer, Cham. https://doi.org/10.1007/978-3-319-67401-8_57

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  • DOI: https://doi.org/10.1007/978-3-319-67401-8_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67400-1

  • Online ISBN: 978-3-319-67401-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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