Effects of interface customisation on drivers’ takeover experience in highly automated driving

Jisun Kim, Kirsten M.A. Revell, James WH Brown, Joy Richardson, Jediah R. Clark, Nermin Caber, Michael Bradley, Patrick Langdon, Simon Thompson, Lee Skrypchuk, Neville A. Stanton

Research output: Chapter in Book/Published conference outputChapter

Abstract

Highly automated driving (HAD) allows drivers to engage in non-driving-related tasks without requiring a constant monitoring under limited circumstances. It can be beneficial for the drivers, but on the other hand, challenging because they need to take control back whenever requested by the system. This situation requires drivers to gain situation awareness rapidly after out-of-the-loop experience. This process could have an impact on drivers’ subjective experience to a varying degree due to their various mental and physical capabilities. Given this, an assumption is made that enabling drivers to customise the human–machine interface (HMI) could lead to an improvement in subjective assessment of takeover experience. Therefore, this study investigates the effect of the customised HMI on drivers’ experience during takeovers after engaging in a non-driving-related task in a simulated, HAD environment. Their subjective experience was explored through perceived workload, usability, acceptance, and trust. The results showed that the drivers’ subjective experience was significantly improved which was measured after conducting takeovers in the environment with customised HMI. This could represent that offering an opportunity to drivers to customise the HMI in the way that they could receive and process information, and in turn, facilitate consequent decision-making, could help create a positive takeover experience.
Original languageEnglish
Title of host publicationDesigning Interaction and Interfaces for Automated Vehicles
Subtitle of host publicationUser-Centred Ecological Design and Testing
Place of PublicationBoca Raton
Chapter13
Number of pages19
Edition1st
ISBN (Electronic)9781003050841
DOIs
Publication statusPublished - 2021

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