https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Large_et_al_2018aLarge et al 2018a - Revision history2026-05-01T07:27:15ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Large_et_al_2018a&diff=197373&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 977027158 to Large et al 2018a2021-02-01T19:45:43Z<p>Scipediacontent moved page <a href="/public/Draft_Content_977027158" class="mw-redirect" title="Draft Content 977027158">Draft Content 977027158</a> to <a href="/public/Large_et_al_2018a" title="Large et al 2018a">Large et al 2018a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Large_et_al_2018a&diff=197372&oldid=prevScipediacontent: Created page with " == Abstract == Drivers’ acceptance of advanced-driver-assistance-systems (ADAS), such as pedestrian alert systems (PAS), is vital if the full benefits are to be realised...."2021-02-01T19:45:38Z<p>Created page with " == Abstract == Drivers’ acceptance of advanced-driver-assistance-systems (ADAS), such as pedestrian alert systems (PAS), is vital if the full benefits are to be realised...."</p>
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== Abstract ==<br />
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Drivers’ acceptance of advanced-driver-assistance-systems (ADAS), such as pedestrian alert systems (PAS), is vital if the full benefits are to be realised. However, the adoption and continued use of such technology is not only contingent on the system’s technical competence, but is also dependent upon drivers’ attitudes towards the system, and the impact that it has on their driving behaviour and performance. Understanding and integrating the factors that affect and define acceptance in a driving context is therefore important, but complex. We present an in-depth literature review, enriched by a driving simulator study (both conducted as part of the EU-Horizon2020 PROSPECT project), that together begin to collate these factors and explore their interrelationship. A preliminary, descriptive model of driver acceptance is subsequently presented. Further work will enhance and validate the model, with the aim of creating a predictive model that can be used to inform the design of future in-vehicle technologies.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [https://zenodo.org/record/1222174 https://zenodo.org/record/1222174] under the license http://creativecommons.org/licenses/by/4.0/legalcode<br />
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* [http://dx.doi.org/10.5281/zenodo.1222174 http://dx.doi.org/10.5281/zenodo.1222174],<br />
: [https://zenodo.org/record/1222174 https://zenodo.org/record/1222174] under the license https://creativecommons.org/licenses/by/4.0<br />
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* [https://zenodo.org/record/1222174 https://zenodo.org/record/1222174],<br />
: [http://dx.doi.org/10.5281/zenodo.1222173 http://dx.doi.org/10.5281/zenodo.1222173] under the license https://creativecommons.org/licenses/by/4.0<br />
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DOIS: 10.5281/zenodo.1222173 10.5281/zenodo.1222174</div>Scipediacontent