Next Article in Journal
Using an Exponential Random Graph Model to Recommend Academic Collaborators
Next Article in Special Issue
Does Information on Automated Driving Functions and the Way of Presenting It before Activation Influence Users’ Behavior and Perception of the System?
Previous Article in Journal
Design Framework of a Traceability System for the Rice Agroindustry Supply Chain in West Java
Previous Article in Special Issue
User Education in Automated Driving: Owner’s Manual and Interactive Tutorial Support Mental Model Formation and Human-Automation Interaction
Open AccessArticle

Driving Style: How Should an Automated Vehicle Behave?

WMG, University of Warwick, Coventry CV4 7AL, UK
Jaguar Land Rover, Coventry CV4 7AL, UK
Author to whom correspondence should be addressed.
Information 2019, 10(6), 219;
Received: 3 May 2019 / Revised: 17 June 2019 / Accepted: 19 June 2019 / Published: 25 June 2019
(This article belongs to the Special Issue Automotive User Interfaces and Interactions in Automated Driving)
This article reports on a study to investigate how the driving behaviour of autonomous vehicles influences trust and acceptance. Two different designs were presented to two groups of participants (n = 22/21), using actual autonomously driving vehicles. The first was a vehicle programmed to drive similarly to a human, “peeking” when approaching road junctions as if it was looking before proceeding. The second design had a vehicle programmed to convey the impression that it was communicating with other vehicles and infrastructure and “knew” if the junction was clear so could proceed without ever stopping or slowing down. Results showed non-significant differences in trust between the two vehicle behaviours. However, there were significant increases in trust scores overall for both designs as the trials progressed. Post-interaction interviews indicated that there were pros and cons for both driving styles, and participants suggested which aspects of the driving styles could be improved. This paper presents user information recommendations for the design and programming of driving systems for autonomous vehicles, with the aim of improving their users’ trust and acceptance. View Full-Text
Keywords: autonomous vehicles; driving behaviour; user study; qualitative methods; acceptance; user-centred design autonomous vehicles; driving behaviour; user study; qualitative methods; acceptance; user-centred design
Show Figures

Figure 1

MDPI and ACS Style

Oliveira, L.; Proctor, K.; Burns, C.G.; Birrell, S. Driving Style: How Should an Automated Vehicle Behave? Information 2019, 10, 219.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop