Hazard perception training and assessment of young drivers in Mauritius: investigating the acceptance of the MauHazard tool
Santokhee, Adityarajsingh, Bekaroo, Girish and Roopowa, Divesh (2019) Hazard perception training and assessment of young drivers in Mauritius: investigating the acceptance of the MauHazard tool. 2019 Conference on Next Generation Computing Applications (NextComp). In: 2nd International Conference on Next Generation Computing Applications (NextComp 2019), 19-21 Sep 2019, Mauritius. e-ISBN 9781728114606, e-ISBN 9781728114590, pbk-ISBN 9781728114613. [Conference or Workshop Item] (doi:10.1109/NEXTCOMP.2019.8883629)
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Abstract
During the past few years, there has been a growing concern over the number of road accidents taking place in Mauritius. A significant number of accidents involve young drivers and although various measures are being implemented by different stakeholders to address this issue, one factor that has not been well investigated is the hazard perception skills of these road users. This is also due to the unavailability of hazard perception training and test tool for drivers within Mauritius to use. In addition, from a research perspective, technology acceptance of such tools is important to study since it helps to comprehend issues that impact future adoptions. However, limited studies have been conducted to assess technology acceptance of hazard perception test tools. In order to address this limitation, this paper investigates and analyses the acceptance of a hazard perception training and test tool called MauHazard by young drivers in Mauritius. To investigate technology acceptance of such tool, the Technology Acceptance Model was applied in a study involving 40 participants to utilize the proposed tool. Results revealed positive acceptance of MauHazard by the young drivers although different issues were highlighted.
| Item Type: | Conference or Workshop Item (Paper) |
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| Research Areas: | A. > School of Science and Technology > Computer Science > Intelligent Environments group |
| Item ID: | 26833 |
| Notes on copyright: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
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| Depositing User: | Adityarajsingh Santokhee |
| Date Deposited: | 17 Jun 2019 13:10 |
| Last Modified: | 29 Nov 2022 18:52 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/26833 |
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