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Investigation of the influence of multitasking on drivers’ takeover performance in highly automated vehicles

Lookup NU author(s): Dr Shuo LiORCiD, Professor Phil BlytheORCiD, Simon Edwards, Dr Paul Goodman, Dr Graeme Hill

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by ITS World Congress, 2019.

For re-use rights please refer to the publisher's terms and conditions.

Abstract

The forthcoming highly automated vehicles (HAVs, SAE Level 3 and beyond) would introduce a new type of human-machine interaction that would allow drivers to be completely disengaged from driving and safely perform other non-driving-related tasks. However there are situations where the HAV system would still need human drivers to take back control within a sufficient lead time. In HAVs, drivers might not only perform a single task but also engage in multiple tasks concurrently. This study investigates the effects of engaging in multitasking on drivers’ takeover performance in HAVs. A driving simulator investigation with 8 participants (aged 20-49 years, 4 females and 4 males) was implemented. Results showed that multitasking leads to prolonged takeover time and slowed decision-making. The findings emphasise the importance of including end users in the design process of HAVs.

Publication metadata

Author(s): Li S, Blythe P, Edwards S, Goodman P, Hill G

Editor(s): ITS World Congress

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 26th Intelligent Transport Systems World Congress

Year of Conference: 2019

Online publication date: 21/10/2019

Acceptance date: 15/04/2019

Date deposited: 03/01/2020

Publisher: ITS World Congress

URL: https://itsworldcongress2019.com/

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