Browsing by Author "Neukum, Alexandra"

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    Checklist for Expert Evaluation of HMIs of Automated Vehicles—Discussions on Its Value and Adaptions of the Method within an Expert Workshop
    Schömig, Nadja; Wiedemann, Katharina; Hergeth, Sebastian; Forster, Yannick; Muttart, Jeffrey; Eriksson, Alexander; Mitropoulos-Rundus, David; Grove, Kevin; Krems, Josef; Keinath, Andreas; Neukum, Alexandra; Naujoks, Frederik (MDPI, 2020-04-24)
    Within a workshop on evaluation methods for automated vehicles (AVs) at the Driving Assessment 2019 symposium in Santa Fe; New Mexico, a heuristic evaluation methodology that aims at supporting the development of human–machine interfaces (HMIs) for AVs was presented. The goal of the workshop was to bring together members of the human factors community to discuss the method and to further promote the development of HMI guidelines and assessment methods for the design of HMIs of automated driving systems (ADSs). The workshop included hands-on experience of rented series production partially automated vehicles, the application of the heuristic assessment method using a checklist, and intensive discussions about possible revisions of the checklist and the method itself. The aim of the paper is to summarize the results of the workshop, which will be used to further improve the checklist method and make the process available to the scientific community. The participants all had previous experience in HMI design of driver assistance systems, as well as development and evaluation methods. They brought valuable ideas into the discussion with regard to the overall value of the tool against the background of the intended application, concrete improvements of the checklist (e.g., categorization of items; checklist items that are currently perceived as missing or redundant in the checklist), when in the design process the tool should be applied, and improvements for the usability of the checklist.
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    Re-use of FOT Data to Assess the Frequency and Impact of Distracted Driving
    Landau, Andreas; Metz, Barbara; Hargutt, Volker; Neukum, Alexandra (2014-08-25)
      <.i>Objective data (> 100 drivers, ~1 000 000 kilometers) and video-coded data (>100 drivers, ~ 20000 kilometers) were analyzed.
    • Phoning and vehicle interaction are the most frequent tasks.
    • Two approaches were used for analyzing impact of distracted driving.
    • Adaptation of driving parameters during secondary tasks as well as hints for a situation-aware behavior can be found.
    • The benefit of NDS depends on variety of influences and the choice and development of appropriate analysis methods.
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    Video Based Validation of a Maneuver Classification Algorithm for Naturalistic Driving Data
    Hargutt, Volker; Landau, Andreas; Metz, Barbara; Neukum, Alexandra (2014-08-25)
    • Development of an automatized algorithm for the classification of driving maneuvers. (/li>
    • Using video coded trips for developing and evaluating algorithms for maneuver classification. (/li>
    • A high detection rate for different maneuvers was achieved. (/li>
    • Structure of classification allows to detect more complex maneuvers (for example overtaking). (/li>
    • Maneuvers build a base for a better analysis of ND-data, for example distracted driving.(/li>