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Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0001-6245-5850
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0001-8884-2154
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0003-2900-9335
Volvo Car Corporation, Gothenburg, Sweden.
2013 (English)In: Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI’13), New York: Association for Computing Machinery (ACM), 2013, p. 210-217Conference paper, Published paper (Refereed)
Abstract [en]

To investigate the impact of visualizing car uncertainty on drivers' trust during an automated driving scenario, a simulator study was conducted. A between-group design experiment with 59 Swedish drivers was carried out where a continuous representation of the uncertainty of the car's ability to autonomously drive during snow conditions was displayed to one of the groups, whereas omitted for the control group. The results show that, on average, the group of drivers who were provided with the uncertainty representation took control of the car faster when needed, while they were, at the same time, the ones who spent more time looking at other things than on the road ahead. Thus, drivers provided with the uncertainty information could, to a higher degree, perform tasks other than driving without compromising with driving safety. The analysis of trust shows that the participants who were provided with the uncertainty information trusted the automated system less than those who did not receive such information, which indicates a more proper trust calibration than in the control group.

Place, publisher, year, edition, pages
New York: Association for Computing Machinery (ACM), 2013. p. 210-217
Keywords [en]
Uncertainty visualization, trust, automation, driving, acceptance
National Category
Computer and Information Sciences
Research subject
Technology; Skövde Artificial Intelligence Lab (SAIL)
Identifiers
URN: urn:nbn:se:his:diva-8724DOI: 10.1145/2516540.2516554Scopus ID: 2-s2.0-84888184123ISBN: 978-1-4503-2478-6 (print)OAI: oai:DiVA.org:his-8724DiVA, id: diva2:683874
Conference
5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI’13), 28-30 October, 2013, Eindhoven, The Netherlands
Funder
Knowledge FoundationVinnova
Note

This research has been supported by the Swedish Knowledge Foundation under grant 2010/0320 (UMIF), Vinnova through the National Aviation Engineering Research Program (NFFP5- 2009-01315) and the University of Skövde. We would like to thank Reetta Hallila, Emil Kullander and Sicheng Chen (Volvo Car Corporation) for making the study possible and enjoyable! We also direct our thanks to the participants in the study.

Available from: 2014-01-07 Created: 2014-01-07 Last updated: 2023-04-12Bibliographically approved

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Helldin, ToveFalkman, GöranRiveiro, Maria

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