A multi-modal warning–monitoring system acceptance study: what findings are transferable?

Al Haddad, C, Abouelela, M, Hancox, G, Pilkington-Cheney, F ORCID: https://orcid.org/0000-0001-8043-3137, Brijs, T and Antoniou, C, 2022. A multi-modal warning–monitoring system acceptance study: what findings are transferable? Sustainability, 14 (19): 12017. ISSN 2071-1050

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Abstract

Advanced driving-assistance systems (ADAS) have been recently used to assist drivers in safety-critical situations, preventing them from reaching boundaries of unsafe driving. While previous studies have focused on ADAS use and acceptance for passenger cars, fewer have assessed the topic for professional modes, including trucks and trams. Moreover, there is still a gap in transferring knowledge across modes, mostly with regards to road safety, driver acceptance, and ADAS acceptance. This research therefore aims to fill this gap by investigating the user acceptance of a novel warning–monitoring system, based on experiments conducted in a driving simulator in three modes. The experiments, conducted in a car, truck, and tram simulator, focused on different risk factors, namely forward collision, over-speeding, vulnerable road user interactions, and special conditions including distraction and fatigue. The conducted experiments resulted in a multi-modal dataset of over 122 drivers. The analysis of drivers’ perceptions obtained through the different questionnaires revealed that drivers’ acceptance is impacted by the system‘s perceived ease of use and perceived usefulness, for all investigated modes. A multi-modal technology acceptance model also revealed that some findings can be transferable between the different modes, but also that some others are more mode-specific.

Item Type:	Journal article
Publication Title:	Sustainability
Creators:	Al Haddad, C., Abouelela, M., Hancox, G., Pilkington-Cheney, F., Brijs, T. and Antoniou, C.
Publisher:	MDPI
Date:	23 September 2022
Volume:	14
Number:	19
ISSN:	2071-1050
Identifiers:	Number Type 10.3390/su141912017 DOI 1612451 Other
Divisions:	Schools > School of Social Sciences
Record created by:	Jeremy Silvester
Date Added:	21 Oct 2022 11:06
Last Modified:	21 Oct 2022 11:06
URI:	https://irep.ntu.ac.uk/id/eprint/47294

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