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Principles for External Human-Machine Interfaces

Wilbrink, Marc ; Cieler, Stephan ; Weiß, Sebastian L. ; Beggiato, Matthias ; Joisten, Philip ; Feierle, Alexander ; Oehl, Michael (2023)
Principles for External Human-Machine Interfaces.
In: Information, 2023, 14 (8)
doi: 10.26083/tuprints-00024501
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Principles for External Human-Machine Interfaces
Language: English
Date: 24 November 2023
Place of Publication: Darmstadt
Year of primary publication: 2023
Place of primary publication: Basel
Publisher: MDPI
Journal or Publication Title: Information
Volume of the journal: 14
Issue Number: 8
Collation: 17 Seiten
DOI: 10.26083/tuprints-00024501
Corresponding Links:
Origin: Secondary publication DeepGreen

Automated vehicles will soon be integrated into our current traffic system. This development will lead to a novel mixed-traffic environment where connected and automated vehicles (CAVs) will have to interact with other road users (ORU). To enable this interaction, external human–machine interfaces (eHMIs) have been shown to have major benefits regarding the trust and acceptance of CAVs in multiple studies. However, a harmonization of eHMI signals seems to be necessary since the developed signals are extremely varied and sometimes even contradict each other. Therefore, the present paper proposes guidelines for designing eHMI signals, taking into account important factors such as how and in which situations a CAV needs to communicate with ORU. The authors propose 17 heuristics, the so-called eHMI-principles, as requirements for the safe and efficient use of eHMIs in a systematic and application-oriented manner.

Uncontrolled Keywords: interaction with automated vehicles, external human-machine interface, design of communication signals for CAV, interaction of automated vehicles and other road users, guidelines for eHMI
Identification Number: 463
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-245012
Additional Information:

This article belongs to the Special Issue Test and Evaluation Methods for Human-Machine Interfaces of Automated Vehicles II

Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Ergonomics (IAD)
Date Deposited: 24 Nov 2023 13:14
Last Modified: 24 Nov 2023 13:14
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/24501
PPN: 514285001
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