Frontiers in Robotics and AI (Jun 2021)

An Immersive Investment Game to Study Human-Robot Trust

  • Sebastian Zörner,
  • Emy Arts,
  • Brenda Vasiljevic,
  • Ankit Srivastava,
  • Florian Schmalzl,
  • Glareh Mir,
  • Kavish Bhatia,
  • Erik Strahl,
  • Annika Peters,
  • Tayfun Alpay,
  • Stefan Wermter

DOI
https://doi.org/10.3389/frobt.2021.644529
Journal volume & issue
Vol. 8

Abstract

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As robots become more advanced and capable, developing trust is an important factor of human-robot interaction and cooperation. However, as multiple environmental and social factors can influence trust, it is important to develop more elaborate scenarios and methods to measure human-robot trust. A widely used measurement of trust in social science is the investment game. In this study, we propose a scaled-up, immersive, science fiction Human-Robot Interaction (HRI) scenario for intrinsic motivation on human-robot collaboration, built upon the investment game and aimed at adapting the investment game for human-robot trust. For this purpose, we utilize two Neuro-Inspired COmpanion (NICO) - robots and a projected scenery. We investigate the applicability of our space mission experiment design to measure trust and the impact of non-verbal communication. We observe a correlation of 0.43 (p=0.02) between self-assessed trust and trust measured from the game, and a positive impact of non-verbal communication on trust (p=0.0008) and robot perception for anthropomorphism (p=0.007) and animacy (p=0.00002). We conclude that our scenario is an appropriate method to measure trust in human-robot interaction and also to study how non-verbal communication influences a human’s trust in robots.

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