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Communicating Assertiveness in Robotic Storytellers

  • Raul ParadedaEmail author
  • Maria José Ferreira
  • Carlos Martinho
  • Ana Paiva
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11318)

Abstract

Social robots have been used to perform the role of storytellers in areas like education and pediatric rehabilitation. With the use of this technology, it is possible to setup different voices, simulate emotional states and even personalities for the same robot. However, finding the best setting that might define a trait for a storyteller robot, is not an easy task. What elements should be manipulated? Should it have a personality? If yes, which one? In this work, we try to answer these questions by studying several setups that will allow us to create an assertive social robot to act as a storyteller. We evaluate the assertiveness impression by manipulating three robot characteristics: posture, pitch, and speech rate. A within-subject study was conducted with 37 participants watching eight videos in which a social robot tells a short story. In each video, the robot presents a different setup, and the participant reports the level of assertiveness of that robot. We found a significant difference between the setups of pitch and posture as well as an acceptable assertive robot’s configuration using a combination of those three characteristics.

Keywords

Storytelling Social robots Assertiveness 

Notes

Acknowledgments

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/50021/2013 and the project AMIGOS:PTDC/EEISII/7174/2014.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Raul Paradeda
    • 1
    • 2
    Email author
  • Maria José Ferreira
    • 1
    • 3
  • Carlos Martinho
    • 1
  • Ana Paiva
    • 1
  1. 1.INESC-ID and Instituto Superior TécnicoUniversity of LisbonLisbonPortugal
  2. 2.State University of Rio Grande do NorteNatalBrazil
  3. 3.Madeira Interactive Technologies InstituteMadeiraPortugal

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