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
Author Information
  1. Sebastian Zörner: Knowledge Technology Group, Department of Informatics, Universität Hamburg, Hamburg, Germany.
  2. Emy Arts: Knowledge Technology Group, Department of Informatics, Universität Hamburg, Hamburg, Germany.
  3. Brenda Vasiljevic: Knowledge Technology Group, Department of Informatics, Universität Hamburg, Hamburg, Germany.
  4. Ankit Srivastava: Knowledge Technology Group, Department of Informatics, Universität Hamburg, Hamburg, Germany.
  5. Florian Schmalzl: Knowledge Technology Group, Department of Informatics, Universität Hamburg, Hamburg, Germany.
  6. Glareh Mir: Knowledge Technology Group, Department of Informatics, Universität Hamburg, Hamburg, Germany.
  7. Kavish Bhatia: Knowledge Technology Group, Department of Informatics, Universität Hamburg, Hamburg, Germany.
  8. Erik Strahl: Knowledge Technology Group, Department of Informatics, Universität Hamburg, Hamburg, Germany.
  9. Annika Peters: Knowledge Technology Group, Department of Informatics, Universität Hamburg, Hamburg, Germany.
  10. Tayfun Alpay: Knowledge Technology Group, Department of Informatics, Universität Hamburg, Hamburg, Germany.
  11. Stefan Wermter: Knowledge Technology Group, Department of Informatics, Universität Hamburg, Hamburg, Germany.

Abstract

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 . 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 ( ) between self-assessed trust and trust measured from the game, and a positive impact of non-verbal communication on trust ( ) and robot perception for anthropomorphism ( ) and animacy ( ). 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.

Keywords

References

  1. Behav Res Methods. 2011 Jun;43(2):548-67 [PMID: 21424189]
  2. Q J Exp Psychol (Hove). 2018 Apr;71(4):989-1008 [PMID: 28303739]
  3. Cognition. 2016 Jan;146:22-32 [PMID: 26402646]
  4. Front Psychol. 2019 Apr 30;10:939 [PMID: 31114525]
  5. PLoS One. 2015 Jul 20;10(7):e0132102 [PMID: 26193621]
  6. Emotion. 2010 Apr;10(2):289-93 [PMID: 20364907]
  7. IEEE Trans Syst Man Cybern B Cybern. 2003;33(3):367-85 [PMID: 18238185]
  8. J Pers Soc Psychol. 1985 Jan;48(1):82-98 [PMID: 3981394]
  9. Front Neurorobot. 2020 Jun 09;14:28 [PMID: 32581759]
  10. PLoS One. 2013 Aug 28;8(8):e72589 [PMID: 24015263]
  11. Pediatrics. 2019 Jul;144(1): [PMID: 31243158]
  12. Hum Factors. 2011 Oct;53(5):517-27 [PMID: 22046724]
  13. Psychol Sci. 2012 Dec;23(12):1549-56 [PMID: 23129062]

Word Cloud

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