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  • 2017

  • Navarro, Jordan (2017): Human–machine interaction theories and lane departure warnings. In: Theoretical Issues in Ergonomics Science 18 (6), S. 519-547. DOI: 10.1080/1463922X.2016.1243274

    DOI: https://doi.org/10.1080/1463922X.2016.1243274 

    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.

    Keywords: Assistenz, Human–machine interaction, human–machine cooperation, warnings, lane departure warning systems, levels of automation, driving, Mensch-Roboter-Interaktion
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