Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/38838
Title: A Multi-Modal Warning-Monitoring System Acceptance Study: What Findings Are Transferable?
Authors: Al Haddad, Christelle
Abouelela, Mohamed
Hancox, Graham
Pilkington-Cheney, Fran
BRIJS, Tom 
Antoniou, Constantinos
Issue Date: 2022
Publisher: MDPI
Source: Sustainability, 14 (19) (Art N° 12017)
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.
Notes: Al Haddad, C (corresponding author), Tech Univ Munich, Chair Transportat Syst Engn, D-80333 Munich, Germany.
christelle.haddad@tum.de; fran.pilkington-cheney@ntu.ac.uk
Keywords: driving simulator;warning system;technology acceptance model;multi-modal;professional drivers;road transportation
Document URI: http://hdl.handle.net/1942/38838
e-ISSN: 2071-1050
DOI: 10.3390/su141912017
ISI #: 000867278500001
Rights: 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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