https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Moertl_et_al_2018aMoertl et al 2018a - Revision history2026-04-30T19:59:16ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Moertl_et_al_2018a&diff=198754&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 218532320 to Moertl et al 2018a2021-02-01T22:17:16Z<p>Scipediacontent moved page <a href="/public/Draft_Content_218532320" class="mw-redirect" title="Draft Content 218532320">Draft Content 218532320</a> to <a href="/public/Moertl_et_al_2018a" title="Moertl et al 2018a">Moertl et al 2018a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Moertl_et_al_2018a&diff=198753&oldid=prevScipediacontent: Created page with " == Abstract == The vision of advanced information technologies to provide intelligent driving assistance and automation is currently being reconciled with humans operating t..."2021-02-01T22:17:11Z<p>Created page with " == Abstract == The vision of advanced information technologies to provide intelligent driving assistance and automation is currently being reconciled with humans operating t..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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The vision of advanced information technologies to provide intelligent driving assistance and automation is currently being reconciled with humans operating these technologies in complex, real-time environments where sometimes unpredicted situations need to be mastered under time pressure. Could automation technologies be designed such that humans can collaborate with them more quickly and effectively to solve the Unpredicted? We investigate the utility of computational Human Mental Models for Engineering (HMMEs) toward developing automation systems that are more similar to human behavior. We validate and compare an HMME with a control model for a basic steering task and compare them both with driving data from 16 human drivers in a driving simulator. We report on the observed characteristics of the HMME to support multi-tasking, graceful degradation, and multi-sensory driver state integration.<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/1483719 https://zenodo.org/record/1483719] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode<br />
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* [https://zenodo.org/record/1483719 https://zenodo.org/record/1483719],<br />
: [http://dx.doi.org/10.5281/zenodo.1483718 http://dx.doi.org/10.5281/zenodo.1483718] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode<br />
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* [https://zenodo.org/record/1483719 https://zenodo.org/record/1483719],<br />
: [http://dx.doi.org/10.5281/zenodo.1483719 http://dx.doi.org/10.5281/zenodo.1483719] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode<br />
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DOIS: 10.5281/zenodo.1483718 10.5281/zenodo.1483719</div>Scipediacontent