Abstract
Successful introduction of autonomous cars require autonomous technology that users experience as trustful and useful. The aim of the study reported in this paper was to explore if drivers trust a fully autonomous car and if they experience that in-vehicle tasks can be conveniently carried out when in full autonomous mode. The test was conducted on a test track and an autonomous research car was used. The car was capable of handling the test track driving environment with full autonomy. When in full autonomous mode the participants got to engage in individually selected tasks, such as use media display, read, eat, drink and carry out work tasks with their own portable devices. The results show that participant trust the autonomous car and they find it convenient to conduct in-vehicle tasks while in full autonomous mode.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Davila, A., Nombela, M.: Platooning - safe and eco-friendly mobility. In: SAE World Congress & Exhibition, Detroit (2012)
Rupp, J.D., King, A.G.: Autonomous driving – a practical roadmap. In: SAE Convergence, Detroit (2010)
Gold, C., Körber, M., Lechner, D., Bengler, K.: Taking over control from highly automated vehicles in complex traffic situations: the role of traffic density. Hum. Factors 4, 642–652 (2016)
Merat, N., Lai, A., Daly, F., Carsten, O.: Transition to manual: driver behaviour when resuming control from a highly automated vehicle. Transp. Res. Part F Traffic Psychol. Behav. 27, 274–282 (2014)
Walch, M., Lange, K., Baumann, M., Weber, M.: Autonomous driving: investigating the feasibility of car-driver handover assistance. In: the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications – AutomotiveUI 2015, pp. 11–18. ACM, New York (2015)
Pettersson, I.: Travelling from fascination to new meanings: understanding user expectations through a case study of autonomous cars. Int. J. Des. 11, 1–11 (2017)
Wallgren, P., Rexfelt, O.: A qualitative study on car drivers’ attitudes towards and expectations of automated cars (2018, in preparation)
Muir, B.M.: Trust between humans and machines, and the design of decision aids. Int. J. Man Mach. Stud. 27, 527–539 (1987)
Gold, C., Körber, M., Hohenberger, C., Lechner, D., Bengler, K.: Trust in automation - before and after the experience of take-over. In: the 6th International Conference on Applied Human Factors and Ergonomics - AHFE 2015, pp. 3025–3032. Elsevier (2015)
Helldin, T., Falkman, G., Riveiro, M., Davidsson, S.: Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving. In: the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications – AutomotiveUI 2013, pp. 210–217. ACM, New York (2013)
Morando, A., Victor, T., Dozza, M.: A reference model for driver attention in automation: Glance behavior changes during lateral and longitudinal assistance (2018, in preparation)
SAE International (http://standards.sae.org): Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles, SAE J3016_201609 (2016)
Acknowledgments
This study was conducted within the project Human Expectations and Experiences of Autonomous Driving (HEAD). The project is financially supported by the Swedish strategic vehicle research and innovation programme (FFI). FFI is a partnership programme run jointly by the Swedish state and the Swedish automotive industry that funds research, innovation and development with an emphasis on climate, the environment and safety.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Broström, R., Rydström, A., Kopp, C. (2019). Drivers Quickly Trust Autonomous Cars. In: Ahram, T., Falcão, C. (eds) Advances in Usability, User Experience and Assistive Technology. AHFE 2018. Advances in Intelligent Systems and Computing, vol 794. Springer, Cham. https://doi.org/10.1007/978-3-319-94947-5_69
Download citation
DOI: https://doi.org/10.1007/978-3-319-94947-5_69
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94946-8
Online ISBN: 978-3-319-94947-5
eBook Packages: EngineeringEngineering (R0)