Exploring personalised autonomous vehicles to influence user trust

Sun, Xu and Li, Jingpeng and Tang, Pinyan and Zhou, Siyuan and Peng, Xiangjun and Li, Hao Nan and Wang, Qingfeng (2020) Exploring personalised autonomous vehicles to influence user trust. Cognitive Computation . ISSN 1866-9956

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Available under Licence Creative Commons Attribution.
Download (1MB) | Preview

Abstract

Trust is a major determinant of acceptance of an autonomous vehicle (AV), and a lack of appropriate trust could prevent drivers and society in general from taking advantage of such technology. This paper makes a new attempt to explore the effects of personalised AVs as a novel approach to the cognitive underpinnings of drivers’ trust in AVs. The personalised AV system is able to identify the driving behaviours of users and thus adapt the driving style of the AV accordingly. A prototype of a personalised AV was designed and evaluated in a lab-based experimental study of 36 human drivers, which investigated the impact of the personalised AV on user trust when compared with manual human driving and non-personalised AVs. The findings show that a personalised AV appears to be significantly more reliable through accepting and understanding each driver’s behaviour, which could thereby increase a user’s willingness to trust the system. Furthermore, a personalised AV brings a sense of familiarity by making the system more recognisable and easier for users to estimate the quality of the automated system. Personalisation parameters were also explored and discussed to support the design of AV systems to be more socially acceptable and trustworthy.

Item Type: Article
Keywords: Autonomous vehicle; Driving characteristics; Driving style; Personalisation; Trust; User experience; User study; Human factors
Schools/Departments: University of Nottingham Ningbo China > Faculty of Business > Nottingham University Business School China
University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Aerospace
University of Nottingham Ningbo China > Faculty of Science and Engineering > Department of Mechanical, Materials and Manufacturing Engineering
Identification Number: https://doi.org/10.1007/s12559-020-09757-x
Depositing User: Wu, Cocoa
Date Deposited: 12 Oct 2020 03:39
Last Modified: 12 Oct 2020 03:39
URI: http://eprints.nottingham.ac.uk/id/eprint/63451

Actions (Archive Staff Only)

Edit View Edit View