Skip to main content

Effects of Beep-Sound Timings on Trust Dynamics in Human-Robot Interaction

  • Conference paper
  • First Online:
Social Robotics (ICSR 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13818))

Included in the following conference series:

  • 1113 Accesses

Abstract

This study investigated the effects of a combination of anthropomorphic and mechanical features in a social robot on human trust, especially focusing on how beep sounds emitted by a social robot with anthropomorphic physicality influence human trust in the robot. Beep sounds were experimentally manipulated to be presented right before a robot showed high or low task performance. As a result, (1) a sound right before high performance increased trust in the robot when it performed accurately, and (2) a sound right before low performance caused a greater decrease in trust in the robot when it performed inaccurately, and also a greater increase in the trust when it performed accurately. Even though identical beep sounds were presented, their effects on human trust differed depending on the timing. On the basis of the results, possible methods for designing trust in human-robot interactions are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kidd, C.D., Breazeal, C.: Robots at home: Understanding long-term human-robot interaction. In: Proceedings of 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’08), pp. 22–26. IEEE Press, Piscataway, NJ (2008)

    Google Scholar 

  2. Breazeal, C.: Toward sociable robots. Robot. Auton. Syst. 42(3–4), 167–175 (2003)

    Google Scholar 

  3. Broadbent, E., Kumar, V., Li, X., Sollers, J., Stafford, R.Q., MacDonald, B.A., Wegner, D.M.: Robots with display screens: a robot with a more humanlike face display is perceived to have more mind and a better personality. PloS One 8(8), Article e72589 (2013)

    Google Scholar 

  4. Dzindolet, M.T., Peterson, S.A., Pomranky, R.A., Pierce, L.: The role of trust in automation reliance. Int. J. Hum Comput Stud. 58(6), 697–718 (2003)

    Article  Google Scholar 

  5. Wiegmann, D.A., Rich, A., Zhang, H.: Automated diagnostic Aids: the effects of aid reliability on users’ trust and reliance. Theor. Issues Ergon. Sci. 2(4), 352–367 (2001)

    Article  Google Scholar 

  6. Lee, J.D., See, K.A.: Trust in automation: designing for appropriate reliance. Hum. Factors 46(1), 50–80 (2004)

    Article  Google Scholar 

  7. Parasuraman, R., Riley, V.: Humans and automation: use, misuse, disuse, abuse. Hum. Factors 39(2), 230–253 (1997)

    Article  Google Scholar 

  8. Natarajan, M., Gombolay, M.: Effects of anthropomorphism and accountability on trust in human robot interaction. In: Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI’20), pp. 33–42. IEEE Press, Piscataway, NJ (2020)

    Google Scholar 

  9. Hertz, N., Wiese, E.: Good advice is beyond all price, but what if it comes from a machine? J. Exp. Psychol. Appl. 25(3), 386–395 (2019)

    Article  Google Scholar 

  10. Kopp, T., Baumgartner, M., Kinkel, S.: How linguistic framing affects factory workers’ initial trust in collaborative robots: the interplay between anthropomorphism and technological replacement. Int. J. Hum. Comput. Stud. 158, 102730 (2022)

    Article  Google Scholar 

  11. Pinney, J., Carroll, F., Newbury, P.: Human-robot interaction: the impact of robotic aesthetics on anticipated human trust. Peer J. Comput. Sci. 8, e837 (2022)

    Article  Google Scholar 

  12. Onnasch, L., Hildebrandt, C.L.: Impact of anthropomorphic robot design on trust and attention in industrial human-robot interaction. ACM Trans. Hum.-Robot. Interact. 11(1), Article No.: 2 (2021)

    Google Scholar 

  13. Fang, R., Doering, M., Chai, J.Y.: Embodied collaborative referring expression generation in situated human-robot interaction. In: Proceedings of the 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI’15), pp. 271–278. IEEE Press, Piscataway, NJ (2015)

    Google Scholar 

  14. Staudte, M., Crocker, M.W.: Visual attention in spoken human-robot interaction. In: Proceedings of the 4th ACM/IEEE international conference on Human-Robot Interaction (HRI’09), pp. 77–84. IEEE Press, Piscataway, NJ (2009)

    Google Scholar 

  15. Sebo, S.S., Krishnamurthi, P., Scassellati, B.: “I don’t believe you”: Investigating the effects of robot trust violation and repair. In: Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN’18), pp. 435–441. IEEE Press, Piscataway, NJ (2019)

    Google Scholar 

  16. Epley, N., Waytz, A., Cacioppo, J.T.: On seeing human: a three-factor theory of anthropomorphism. Psychol. Rev. 114(4), 864–886 (2007)

    Article  Google Scholar 

  17. Komatsu, T., Yamada, S., Kobayashi, K., Funakoshi, K.: Artificial subtle expressions: Intuitive notification methodology of artifacts. In: Proceedings of the 28th International Conference on Human Factors in Computing Systems (CHI'10), pp. 1941–1944. Association for Computing Machinery, New York, NY (2010)

    Google Scholar 

  18. Rogers, W.A., Lamson, N., Rousseau, G.K.: Warning research: an integrative perspective. Hum. Factors 42(1), 102–139 (2000)

    Article  Google Scholar 

  19. Koh, P.W., Liang, P.: Understanding black-box predictions via influence functions. In: Proceedings of the 34th International Conference on Machine Learning (ICML'17), pp. 1885–1894. Microtome Publishing, Brookline, MA (2017)

    Google Scholar 

  20. Xu, J., Howard, A.: The impact of first impressions on human-robot trust during problem-solving scenarios. In: Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI’18), pp. 57–65. IEEE Press, Piscataway, NJ (2018)

    Google Scholar 

  21. Andrés, P., Parmentier, F.B.R., Escera, C.: The effect of age on involuntary capture of attention by irrelevant sounds: a test of the frontal hypothesis of aging. Neuropsychologia 44(12), 2564–2568 (2006)

    Article  Google Scholar 

  22. Kim, W., Kim, N., Lyons, J.B., Nam, C.S.: Factors affecting trust in high-vulnerability human-robot interaction contexts: a structural equation modelling approach. Appl. Ergon. 85, 103056 (2020)

    Article  Google Scholar 

  23. Dzindolet, M.T., Pierce, L.G., Beck, H.P., Dawe, L.A.: The perceived utility of human and automated aids in a visual detection task. Hum. Factors 44(1), 79–94 (2002)

    Article  Google Scholar 

  24. Faul, F., Erdfelder, E., Lang, A.-G., Buchner, A.: G*power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 39(2), 175–191 (2007)

    Article  Google Scholar 

  25. Schaefer, K.E.: Measuring trust in human robot interactions: development of the “Trust Perception Scale-HRI”. In: Mittu, R., Sofge, D., Wagner, A., Lawless, W.E. (eds.) Robust Intelligence and Trust in Autonomous Systems, pp. 191–218. Springer, New York, NY (2016)

    Google Scholar 

  26. Ullman, D., Malle, B.F.: Measuring gains and losses in human-robot trust: Evidence for differentiable components of trust. In Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI ’19), pp. 618–619. IEEE Press, Piscataway, NJ (2019)

    Google Scholar 

  27. Desai, M., Medvedev, M., Vázquez, M., McSheehy, S., Gadea-Omelchenko, S., Bruggeman, C., Steinfeld, A., Yanco, H.: Effects of changing reliability on trust of robot systems. In: Proceedings of the 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI ‘12), pp. 73–80. IEEE Press, Piscataway, NJ (2012)

    Google Scholar 

  28. Desai, M., Kaniarasu, P., Medvedev, M., Steinfeld, A., Yanco, H.: Impact of robot failures and feedback on real-time trust. In Proceedings of the 8th ACM/IEEE International Conference on Human-robot Interaction (HRI ‘13), pp. 251–258 IEEE Press, Piscataway, NJ (2013)

    Google Scholar 

  29. de Vries, P., Midden, C., Bouwhuis, D.: The effects of errors on system trust, self-confidence, and the allocation of control in route planning. Int. J. Hum Comput Stud. 58(6), 719–735 (2003)

    Article  Google Scholar 

  30. Madhavan, P., Wiegmann, D.A., Lacson, F.C.: Automation failures on tasks easily performed by operators undermine trust in automated aids. Hum. Factors 48(2), 241–256 (2006)

    Article  Google Scholar 

Download references

Acknowledgments

This work was (partially) supported by JST, CREST (JPMJCR21D4), Japan.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Akihiro Maehigashi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Maehigashi, A., Tsumura, T., Yamada, S. (2022). Effects of Beep-Sound Timings on Trust Dynamics in Human-Robot Interaction. In: Cavallo, F., et al. Social Robotics. ICSR 2022. Lecture Notes in Computer Science(), vol 13818. Springer, Cham. https://doi.org/10.1007/978-3-031-24670-8_57

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-24670-8_57

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-24669-2

  • Online ISBN: 978-3-031-24670-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics