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International Conference on Social Robotics

ICSR 2020: Social Robotics pp 85–95Cite as

Effects of Proactive Explanations by Robots on Human-Robot Trust

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12483))

Abstract

The performance of human-robot teams depends on human-robot trust, which in turn depends on appropriate robot-to-human transparency. A key way for robots to build trust through transparency is by providing appropriate explanations for their actions. While most previous work on robot explanation generation has focused on robots’ ability to provide post-hoc explanations upon request, in this paper we instead examine proactive explanations generated before actions are taken, and the effect this has on human-robot trust. Our results suggest a positive relationship between proactive explanations and human-robot trust, and reveal fundamental new questions into the effects of proactive explanations on the nature of humans’ mental models and the fundamental nature of human-robot trust.

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Acknowledgments

This work was supported by an Early Career Faculty grant from NASA’s Space Technology Research Grants Program.

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Authors and Affiliations

  1. Colorado School of Mines, Golden, CO, 80401, USA

    Lixiao Zhu & Thomas Williams

Authors
  1. Lixiao Zhu
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  2. Thomas Williams
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Corresponding author

Correspondence to Lixiao Zhu .

Editor information

Editors and Affiliations

  1. Pennsylvania State University, University Park, PA, USA

    Alan R. Wagner

  2. University of Nevada Reno, Reno, NV, USA

    David Feil-Seifer

  3. University of Denver, Denver, CO, USA

    Kerstin S. Haring

  4. University of Naples Federico II, Naples, Italy

    Silvia Rossi

  5. Colorado School of Mines, Golden, CO, USA

    Thomas Williams

  6. Wichita State University, Wichita, KS, USA

    Hongsheng He

  7. National University of Singapore, Singapore, Singapore

    Shuzhi Sam Ge

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Zhu, L., Williams, T. (2020). Effects of Proactive Explanations by Robots on Human-Robot Trust. In: Wagner, A.R., et al. Social Robotics. ICSR 2020. Lecture Notes in Computer Science(), vol 12483. Springer, Cham. https://doi.org/10.1007/978-3-030-62056-1_8

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  • DOI: https://doi.org/10.1007/978-3-030-62056-1_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62055-4

  • Online ISBN: 978-3-030-62056-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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