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What Makes a Good Robotic Advisor? The Role of Assertiveness in Human-Robot Interaction

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Social Robotics (ICSR 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11876))

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Abstract

The display of different levels of assertiveness by a robot can be an essential factor in determining the way it is perceived and the extent to which it can influence its users. To explore the persuasive abilities of social robots, we devised an interactive storytelling scenario, in which users had to make several decisions while being persuaded by two autonomous robots (each one displaying low, high or neutral levels of assertiveness). To evaluate how different levels of assertiveness affected the decision-making process, we conducted a user study (n = 61) in which we measured participants’ perceptions of the robots, the valence of their emotional state and level of assertiveness. Our findings revealed that (a) the user’s perception of assertive robots differed from their initial expectations about robots in general and (b) that robots displaying personality were more effective at influencing participants to change their decisions than robots displaying a neutral arrangement of traits.

We would like to thank the National Council for Scientific and Technological Development (CNPq) program Science without Border: 201833/2014-0 - Brazil and Agência Regional para o Desenvolvimento e Tecnologia (ARDITI) - M1420-09-5369-000001, for PhD grants to first and second authors respectively. This work was also supported by Fundação para a Ciência e a Tecnologia: (FCT) - UID/CEC/50021/2019 and the project AMIGOS:PTDC/EEISII/7174/2014.

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Notes

  1. 1.

    More details regarding the configurations of the robots for the display of assertiveness can be consulted in [20].

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Author information

Authors and Affiliations

  1. Instituto Superior Técnico-University of Lisbon, Lisbon, Portugal

    Raul Paradeda, Maria José Ferreira, Carlos Martinho & Ana Paiva

  2. INESC-ID (GAIPS), Lisbon, Portugal

    Raul Paradeda, Maria José Ferreira, Raquel Oliveira, Carlos Martinho & Ana Paiva

  3. Instituto Universitário de Lisboa (ISCTE-IUL), CIS-IUL, Lisbon, Portugal

    Raquel Oliveira

Authors
  1. Raul Paradeda
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  2. Maria José Ferreira
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  3. Raquel Oliveira
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  4. Carlos Martinho
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  5. Ana Paiva
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Corresponding author

Correspondence to Raul Paradeda .

Editor information

Editors and Affiliations

  1. Robotics Lab, Universidad Carlos III de Madrid, Leganés, Madrid, Spain

    Miguel A. Salichs

  2. The National University of Singapore, Singapore, Singapore

    Shuzhi Sam Ge

  3. Faculty of Industrial Design, Eindhoven University of Technology, Eindhoven, Noord-Brabant, The Netherlands

    Emilia Ivanova Barakova

  4. Mechanical & Industrial, Qatar University, Doha, Qatar

    John-John Cabibihan

  5. Department of Aerospace Engineering, The Pennsylvania State University, University Park, PA, USA

    Alan R. Wagner

  6. Robotics Lab - Department of Systems Engineering and Automation, Universidad Carlos III de Madrid, Leganés, Madrid, Spain

    Álvaro Castro-González

  7. Wichita State University, Wichita, KS, USA

    Hongsheng He

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Paradeda, R., Ferreira, M.J., Oliveira, R., Martinho, C., Paiva, A. (2019). What Makes a Good Robotic Advisor? The Role of Assertiveness in Human-Robot Interaction. In: Salichs, M., et al. Social Robotics. ICSR 2019. Lecture Notes in Computer Science(), vol 11876. Springer, Cham. https://doi.org/10.1007/978-3-030-35888-4_14

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  • DOI: https://doi.org/10.1007/978-3-030-35888-4_14

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