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Human-Systems Integration for Driving Automation Systems: Holistic Approach for Driver Role Integration and Automation Allocation for European Mobility Needs

Authors: Peter Mörtl;

Human-Systems Integration for Driving Automation Systems: Holistic Approach for Driver Role Integration and Automation Allocation for European Mobility Needs

Abstract

The EU H2020 funded project HADRIAN addresses specific chal-lenges of human-systems integration (HSI) to bring together real drivers with complex and smart technologies to form safe, acceptable, and meaningful sys-tem outcomes. The HADRIAN (Holistic Approach for Driver Role Integration and Automation Allocation for European Mobility Needs) project investigates the definition of safe and acceptable driver roles for higher levels of automated driving with 16 research and industrial partners. This paper briefly reviews the field of HSI and postulates two dominant challenges for HSI in the domain of automated driving that will be addressed as part of HADRIAN: first, the impact of restricting the search in traditional solution spaces along prevalent organiza-tional boundaries. Secondly, the human factors problems of humans interacting with highly automated systems across various fields. The paper then presents the HADRIAN approach for HSI for this field focusing on (1) human mobility needs as starting and converging point for engineering and research efforts, (2) strengthening holistic system definitions, (3) iterative design combined with risk and opportunity management, and (4) the application of naturalistic re-search methods including human-in-the-loop simulation.

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Keywords

Human-Systems Integration, automated driving, driver role defini-tion

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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