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Exploring the Effect of Communication Patterns and Transparency on the Attitudes Towards Robots

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Advances in Human Factors and Simulation (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 958))

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Abstract

Robots’ increased autonomous capabilities necessitate human-robot communication. Exploration of this communication, including the pattern of and the content of such, is relevant to the development of these robots and the understanding of how they can interact with human teammates. This study compares two different patterns of communication and two approaches to transparent interaction, looking at their effects on human team members’ attitudes towards robots with which they are communicating. Participants found robots using a bidirectional communication pattern to be more animate, likeable, and intelligent than robots using a unidirectional communication pattern.

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Acknowledgments

This research was funded by the U.S. Army Research Laboratory’s Human-Robot Interaction program. The authors would like to thank Jason English, Christopher Miller, Thomas Pring, and Dr. Jessie Chen for their contributions to this project.

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Authors and Affiliations

  1. Army Research Laboratory, 12423 Research Pkwy, Orlando, FL, 32826, USA

    Shan G. Lakhmani & Julia L. Wright

  2. UCF Institute for Simulation and Training, 3100 Technology Pkwy, Orlando, FL, 32826, USA

    Michael Schwartz & Daniel Barber

Authors
  1. Shan G. Lakhmani
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  2. Julia L. Wright
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  3. Michael Schwartz
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  4. Daniel Barber
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Corresponding author

Correspondence to Shan G. Lakhmani .

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Editors and Affiliations

  1. RDRL-HRF-D, U.S. Army Research Laboratory, Aberdeen Proving Ground, MD, USA

    Daniel N. Cassenti

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Lakhmani, S.G., Wright, J.L., Schwartz, M., Barber, D. (2020). Exploring the Effect of Communication Patterns and Transparency on the Attitudes Towards Robots. In: Cassenti, D. (eds) Advances in Human Factors and Simulation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 958. Springer, Cham. https://doi.org/10.1007/978-3-030-20148-7_3

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