@article{ref1,
title="Human-machine interaction theories and lane departure warnings",
journal="Theoretical issues in ergonomics science",
year="2017",
author="Navarro, Jordan",
volume="18",
number="6",
pages="519-547",
abstract="A technological race toward always ever-increasing automation is engaged, a race in which automation users are hardly considered. This explains why more automation is not necessarily for the best. A variety of human-machine interaction (HMI) theories co-exist. First, those HMI theories and predictions for lane departure warnings systems (LDWS, assisted driving automation) are described. Second, a synthesis of the key questions currently addressed by empirical data on LDWS is offered. Lastly, a new model of human-machine cooperation modelling is proposed. The model has been inspired by previous theories and empirical data collected with LDWS-assisted driving. Interestingly, automation such as LDWS seems to avoid the 'ironies of automation' with no negative effects on human performance. However, a major issue to be addressed is poor automation acceptance. While the focus was set on LDWS to offer a complete overview for this type of device, the model may be extended to other warning assistance devices.<p /> <p>Language: en</p>",
language="en",
issn="1463-922X",
doi="10.1080/1463922X.2016.1243274",
url="http://dx.doi.org/10.1080/1463922X.2016.1243274"
}