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Erschienen in:
Modelling Human Factors for Advanced Driving Assistance System Design Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

A Human-Machine Interface for Cooperative Highly Automated Driving

verfasst von : Frederik Naujoks, Yannick Forster, Katharina Wiedemann, Alexandra Neukum

Erschienen in: Advances in Human Aspects of Transportation

Verlag: Springer International Publishing

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Abstract

Cooperative perception of the traffic environment will enable Highly Automated Driving (HAD) functions to provide timelier and more complex Take-Over Requests (TOR) than it is possible with vehicle-localized perception alone. Furthermore, cooperative perception will extend automated vehicles’ capability of performing tactic and strategic maneuvers independently of any driver intervention (e.g., avoiding of obstacles). In this paper, resulting challenges to the design of the Human-Machine Interface (HMI) are discussed and a prototypical HMI is presented. The prototype is evaluated by experts from the field of cognitive ergonomics in a small-scale simulator study.

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Vorheriges Kapitel A New Method and Results for Analyzing Decision-Making Processes in Automated Driving on Highways
Nächstes Kapitel Child Restraint Seat Installation Errors and a Simple Mechanical Device to Mitigate Misuse
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Metadaten
Titel
A Human-Machine Interface for Cooperative Highly Automated Driving
verfasst von
Frederik Naujoks
Yannick Forster
Katharina Wiedemann
Alexandra Neukum
Copyright-Jahr
2017
Buch
Advances in Human Aspects of Transportation

Print ISBN: 978-3-319-41681-6

Electronic ISBN: 978-3-319-41682-3

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-41682-3_49

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