The effects of driving with different levels of unreliable automation on self-reported workload and secondary task performance

Joost de Winter, NA Stanton, J.S. Price, H. Mistry

    Research output: Contribution to journalArticleScientificpeer-review

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    Abstract

    Until automated cars function perfectly, drivers will have to take over control when automation fails or reaches its functional limits. Two simulator experiments (N = 24 and 27) were conducted, each testing four automation levels ranging from manual control (MC) to highly automated driving. In both experiments, participants about once every 3 min experienced an event that required intervention. Participants performed a secondary divided attention task while driving. Automation generally resulted in improved secondary task performance and reduced self-reported physical demand and effort as compared to MC. However, automated speed control was experienced as more frustrating than MC. Participants responded quickly to the events when the stimulus was salient (i.e., stop sign, crossing pedestrian, and braking lead car), but often failed to react to an automation failure when their vehicle was driving slowly. In conclusion, driving with imperfect automation can be frustrating, even though mental and physical demands are reduced.
    Original languageEnglish
    Pages (from-to)297-324
    JournalInternational Journal of Vehicle Design: the journal of vehicle engineering and components
    Volume70
    Issue number4
    DOIs
    Publication statusPublished - 2016

    Bibliographical note

    Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care

    Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

    Keywords

    • workload
    • automated driving
    • secondary task
    • level of automation
    • critical events
    • ACC
    • adaptive cruise control
    • automated steering
    • human factors

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