Citation

Navarro J. Theor. Issues Ergonomics Sci. 2017; 18(6): 519-547.

Copyright

(Copyright © 2017, Informa - Taylor and Francis Group)

DOI

10.1080/1463922X.2016.1243274

PMID

unavailable

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.

Language: en

Keywords

Corrigendum; driving; human–machine cooperation; Human–machine interaction; lane departure warning systems; levels of automation; warnings