Highlights Driver calibration is an important factor in our understanding of road safety. Calibration relates to general appraisals as well as momentary judgments of the world. A conceptual framework of driver calibration is proposed and described. Several application examples are discussed, including distraction, automation, and young drivers.

    Abstract Humans often make inflated or erroneous estimates of their own ability or performance. Such errors in calibration can be due to incomplete processing, neglect of available information or due to improper weighing or integration of the information and can impact our decision-making, risk tolerance, and behaviors. In the driving context, these outcomes can have important implications for safety. The current paper discusses the notion of calibration in the context of self-appraisals and self-competence as well as in models of self-regulation in driving. We further develop a conceptual framework for calibration in the driving context borrowing from earlier models of momentary demand regulation, information processing, and lens models for information selection and utilization. Finally, using the model we describe the implications for calibration (or, more specifically, errors in calibration) for our understanding of driver distraction, in-vehicle automation and autonomous vehicles, and the training of novice and inexperienced drivers.


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    Title :

    Calibration of skill and judgment in driving: Development of a conceptual framework and the implications for road safety


    Contributors:

    Published in:

    Publication date :

    2014-12-16


    Size :

    9 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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