Driving with a congestion assistant: mental workload and acceptance

Karel A. Brookhuis, Cornelie van Driel, Tineke Hof, Bart van Arem, Marika Hoedemaeker

    Research output: Contribution to journalArticleAcademicpeer-review

    56 Citations (Scopus)

    Abstract

    New driver support systems are developed and introduced to the market at increasing speed. In conditions of traffic congestion drivers may be supported by a “Congestion Assistant”, a system that combines the features of a Congestion Warning System (acoustic warning and gas pedal counterforce) and a Stop & Go system (automatic gas and brake pedal during congestion). To gain understanding of the effects of driving with a Congestion Assistant on drivers, mental workload of drivers was registered under different conditions as well as acceptance of the system. Mental workload was measured by means of physiological registrations, i.e. heart rate, a secondary task and with the aid of subjective scaling techniques. Acceptance was measured with an acceptance scale. The study was carried out in an advanced driving simulator. Driving with the Congestion Assistant while in congestion potentially leads to decreased driver mental workload, whereas just before congestion starts, i.e. developing just noticeable, the system may add to the workload of the driver. Acceptance is generally high after experiencing the system, though not in all respects.
    Original languageEnglish
    Pages (from-to)1019-1025
    JournalApplied ergonomics
    Volume40
    Issue number6
    DOIs
    Publication statusPublished - 2009

    Keywords

    • Automation
    • Human–machine interfacing
    • Mental workload
    • Acceptance

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