Preprint Open Access

Measuring trust in automated driving using a multi-level approach to human factors

Clement, Philipp; Danzinger, Herbert; Veledar, Omar; Koenczoel, Clemens; Macher, Georg; Eichberger, Arno


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    "keywords": [
      "In cabin measurement, HMI, trust, comfort, driver state, ADAS/AD, multi-level approach, psychophysiology, heart-rate"
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    "publication_date": "2021-09-06", 
    "creators": [
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        "affiliation": "AVL List GmbH", 
        "name": "Clement, Philipp"
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        "affiliation": "AVL List GmbH", 
        "name": "Danzinger, Herbert"
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        "affiliation": "AVL List GmbH", 
        "name": "Veledar, Omar"
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      {
        "affiliation": "University of Graz", 
        "name": "Koenczoel, Clemens"
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      {
        "affiliation": "Graz University of Technology", 
        "name": "Macher, Georg"
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    "description": "<p>As the driving is shifting towards automation, the maximization of related benefits would profit from improved user acceptance of the new technology. Studies suggest a strong connection between acceptance and trust in technical solutions. We investigate the improvement of user trust to driving automation through demonstrations that carried on a sophisticated driving simulator. The study correlates subjective data with objective psycho-physiological measurements. The multi-factorial and multivariate analysis of variance investigates the influence of learning effects and pre-experience with ADAS on trust. Results show improvement in trust through user interaction with a human-machine interface of the demonstrated AD system, hence illustrating the relevance of human-centered development processes. The conclusion is supported by the observation of driver cardiac signals.</p>"
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