Taming the eHMI jungle: A classification taxonomy to guide, compare, and assess the design principles of automated vehicles' external human-machine interfaces
There is a growing body of research in the field of interaction between automated vehicles and other road users in their vicinity. To facilitate such interactions, researchers and designers have explored designs, and this line of work has yielded several concepts of external Human-Machine Interfaces...
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doaj-5cc68cdc4e9442c2b19a44d889e96ff72020-11-25T02:52:02ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822020-09-017100174Taming the eHMI jungle: A classification taxonomy to guide, compare, and assess the design principles of automated vehicles' external human-machine interfacesDebargha Dey0Azra Habibovic1Andreas Löcken2Philipp Wintersberger3Bastian Pfleging4Andreas Riener5Marieke Martens6Jacques Terken7Eindhoven University of Technology, Eindhoven, the Netherlands; Corresponding author.RISE Research Institutes of Sweden, Gothenburg, SwedenTechnische Hochschule Ingolstadt, Ingolstadt, GermanyTechnische Hochschule Ingolstadt, Ingolstadt, GermanyEindhoven University of Technology, Eindhoven, the Netherlands; LMU Munich, Munich, GermanyTechnische Hochschule Ingolstadt, Ingolstadt, GermanyEindhoven University of Technology, Eindhoven, the Netherlands; TNO Traffic and Transport, The Hague, the NetherlandsEindhoven University of Technology, Eindhoven, the NetherlandsThere is a growing body of research in the field of interaction between automated vehicles and other road users in their vicinity. To facilitate such interactions, researchers and designers have explored designs, and this line of work has yielded several concepts of external Human-Machine Interfaces (eHMI) for vehicles. Literature and media review reveals that the description of interfaces is often lacking in fidelity or details of their functionalities in specific situations, which makes it challenging to understand the originating concepts. There is also a lack of a universal understanding of the various dimensions of a communication interface, which has impeded a consistent and coherent addressal of the different aspects of the functionalities of such interface concepts. In this paper, we present a unified taxonomy that allows a systematic comparison of the eHMI across 18 dimensions, covering their physical characteristics and communication aspects from the perspective of human factors and human-machine interaction. We analyzed and coded 70 eHMI concepts according to this taxonomy to portray the state of the art and highlight the relative maturity of different contributions. The results point to a number of unexplored research areas that could inspire future work. Additionally, we believe that our proposed taxonomy can serve as a checklist for user interface designers and researchers when developing their interfaces.http://www.sciencedirect.com/science/article/pii/S2590198220300853Automated vehicleVulnerable road userPedestrianExternal human-machine interfaceTaxonomyHuman factors |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Debargha Dey Azra Habibovic Andreas Löcken Philipp Wintersberger Bastian Pfleging Andreas Riener Marieke Martens Jacques Terken |
spellingShingle |
Debargha Dey Azra Habibovic Andreas Löcken Philipp Wintersberger Bastian Pfleging Andreas Riener Marieke Martens Jacques Terken Taming the eHMI jungle: A classification taxonomy to guide, compare, and assess the design principles of automated vehicles' external human-machine interfaces Transportation Research Interdisciplinary Perspectives Automated vehicle Vulnerable road user Pedestrian External human-machine interface Taxonomy Human factors |
author_facet |
Debargha Dey Azra Habibovic Andreas Löcken Philipp Wintersberger Bastian Pfleging Andreas Riener Marieke Martens Jacques Terken |
author_sort |
Debargha Dey |
title |
Taming the eHMI jungle: A classification taxonomy to guide, compare, and assess the design principles of automated vehicles' external human-machine interfaces |
title_short |
Taming the eHMI jungle: A classification taxonomy to guide, compare, and assess the design principles of automated vehicles' external human-machine interfaces |
title_full |
Taming the eHMI jungle: A classification taxonomy to guide, compare, and assess the design principles of automated vehicles' external human-machine interfaces |
title_fullStr |
Taming the eHMI jungle: A classification taxonomy to guide, compare, and assess the design principles of automated vehicles' external human-machine interfaces |
title_full_unstemmed |
Taming the eHMI jungle: A classification taxonomy to guide, compare, and assess the design principles of automated vehicles' external human-machine interfaces |
title_sort |
taming the ehmi jungle: a classification taxonomy to guide, compare, and assess the design principles of automated vehicles' external human-machine interfaces |
publisher |
Elsevier |
series |
Transportation Research Interdisciplinary Perspectives |
issn |
2590-1982 |
publishDate |
2020-09-01 |
description |
There is a growing body of research in the field of interaction between automated vehicles and other road users in their vicinity. To facilitate such interactions, researchers and designers have explored designs, and this line of work has yielded several concepts of external Human-Machine Interfaces (eHMI) for vehicles. Literature and media review reveals that the description of interfaces is often lacking in fidelity or details of their functionalities in specific situations, which makes it challenging to understand the originating concepts. There is also a lack of a universal understanding of the various dimensions of a communication interface, which has impeded a consistent and coherent addressal of the different aspects of the functionalities of such interface concepts. In this paper, we present a unified taxonomy that allows a systematic comparison of the eHMI across 18 dimensions, covering their physical characteristics and communication aspects from the perspective of human factors and human-machine interaction. We analyzed and coded 70 eHMI concepts according to this taxonomy to portray the state of the art and highlight the relative maturity of different contributions. The results point to a number of unexplored research areas that could inspire future work. Additionally, we believe that our proposed taxonomy can serve as a checklist for user interface designers and researchers when developing their interfaces. |
topic |
Automated vehicle Vulnerable road user Pedestrian External human-machine interface Taxonomy Human factors |
url |
http://www.sciencedirect.com/science/article/pii/S2590198220300853 |
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