abstract

Simulations and Self-Driving Cars: A Study of Trust and Consequences

Authors:

Bjarke Kristian Maigaard Kjær Pedersen,

Kamilla Egedal Andersen,

Simon Köslich,

Bente Charlotte Weigelin,

Kati KuusinenAuthors Info & Claims

HRI '18: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction

Pages 205 - 206

https://doi.org/10.1145/3173386.3176987

Published: 01 March 2018 Publication History

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Abstract

Trust plays an essential role in ensuring safe and robust human-robot interaction. Recent work suggests that people can be too trusting of technology, leading to potential dangerous situations. We carried out a series of experiments in an autonomous car simulator, in order to test if there is a difference in people»s behavior when real-life consequences are applied, compared to pure simulation. The study was carried out with six experimental conditions in a between-subject design in which participants (N = 121) interacted with the simulator and were told they could assume control of the autonomous car at any point during the simulation. Results show that participants are significantly less trusting of the autonomous system, when real-life consequences were involved (p = .014).

References

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Kamilla Egedal Andersen, Simon Köslich, Bjarke Kristian Maigaard Kjær Pedersen, Bente Charlotte Weigelin, and Lars Christian Jensen . 2017. Do We Blindly Trust Self-Driving Cars. In Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction. ACM, 67--68.

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Jeamin Koo, Jungsuk Kwac, Wendy Ju, Martin Steinert, Larry Leifer, and Clifford Nass . 2015. Why did my car just do that? Explaining semi-autonomous driving actions to improve driver understanding, trust, and performance. International Journal on Interactive Design and Manufacturing (IJIDeM), Vol. 9, 4 (2015), 269--275.

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Cited By

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Alzahrani ANasir JTayeb AAndré EAhmad MJohal WLemaignan SBrščić DVázquez MCharisi V(2025)What Do the Face and Voice Reveal? Investigating Trust Dynamics During Human-Robot InteractionProceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction10.5555/3721488.3721540(400-409)Online publication date: 4-Mar-2025
https://dl.acm.org/doi/10.5555/3721488.3721540
Holthausen BStuck RWalker B(2022)Trust in Automated VehiclesUser Experience Design in the Era of Automated Driving10.1007/978-3-030-77726-5_2(29-49)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-3-030-77726-5_2
Stuck RTomlinson BWalker B(2021)The importance of incorporating risk into human-automation trustTheoretical Issues in Ergonomics Science10.1080/1463922X.2021.197517023:4(500-516)Online publication date: 6-Oct-2021
https://doi.org/10.1080/1463922X.2021.1975170
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Index Terms

Simulations and Self-Driving Cars: A Study of Trust and Consequences
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. Laboratory experiments

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Published In

HRI '18: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction

March 2018

431 pages

ISBN:9781450356152

DOI:10.1145/3173386

General Chairs:
Takayuki Kanda
ATR, Japan
,
Selma Ŝabanović
Indiana University Bloomington, USA
,
Program Chairs:
Guy Hoffman
Cornell University, USA
,
Adriana Tapus
ENSTA-ParisTech, France

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 01 March 2018

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HRI '18

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HRI '18: ACM/IEEE International Conference on Human-Robot Interaction

March 5 - 8, 2018

IL, Chicago, USA

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HRI '18 Paper Acceptance Rate 49 of 206 submissions, 24%;

Overall Acceptance Rate 192 of 519 submissions, 37%

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Alzahrani ANasir JTayeb AAndré EAhmad MJohal WLemaignan SBrščić DVázquez MCharisi V(2025)What Do the Face and Voice Reveal? Investigating Trust Dynamics During Human-Robot InteractionProceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction10.5555/3721488.3721540(400-409)Online publication date: 4-Mar-2025
https://dl.acm.org/doi/10.5555/3721488.3721540
Holthausen BStuck RWalker B(2022)Trust in Automated VehiclesUser Experience Design in the Era of Automated Driving10.1007/978-3-030-77726-5_2(29-49)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-3-030-77726-5_2
Stuck RTomlinson BWalker B(2021)The importance of incorporating risk into human-automation trustTheoretical Issues in Ergonomics Science10.1080/1463922X.2021.197517023:4(500-516)Online publication date: 6-Oct-2021
https://doi.org/10.1080/1463922X.2021.1975170
dos Santos Rosa NFrancelin Romero RGrassi V(2020)A Survey on the Aspects of Human-Robot Interaction in Autonomous Vehicles2020 Latin American Robotics Symposium (LARS), 2020 Brazilian Symposium on Robotics (SBR) and 2020 Workshop on Robotics in Education (WRE)10.1109/LARS/SBR/WRE51543.2020.9307046(1-6)Online publication date: 9-Nov-2020
https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307046

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Recommendations

Do We Blindly Trust Self-Driving Cars

Acceptance of Self-Driving Cars: Does Their Posthuman Ability Make Them More Eerie or More Desirable?

Assessing public perception of self-driving cars: the autonomous vehicle acceptance model

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