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Users’ Internal HMI Information Requirements for Highly Automated Driving

Lau, Merle and Wilbrink, Marc and Dodiya, Janki and Oehl, Michael (2020) Users’ Internal HMI Information Requirements for Highly Automated Driving. In: 22nd International Conference on Human-Computer Interaction, HCII 2020, 1294, pp. 585-592. Springer. International Conference on Human-Computer Interaction International (HCII) 2020, Virtual Conference. doi: 10.1007/978-3-030-60703-6_75. ISBN 978-303060113-3. ISSN 0302-9743.

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Official URL: https://link.springer.com/chapter/10.1007%2F978-3-030-60703-6_75


The introduction of highly and fully automated vehicles (SAE levels 4 and 5) will change the drivers’ role from an active driver to a more passive on-board user. Due to this shift of control, secondary tasks may become primary tasks. The question that arises is how much information needs to be conveyed via an internal Human-Machine Interface (iHMI) to fulfill users’ information requirements. Previous research on iHMI regarding lower automation levels has shown that user require different information respectively. The present study focuses on how users’ information requirements change for highly automated driving (SAE level 4) when the on-board user is distracted with a secondary task opposed to when the user is nondistracted. Twelve participants experienced different driving conditions and were asked to rate their attention distributions to other traffic participants. Results show clearly that users rated their attention distribution to other traffic participants significantly lower in automated distracted mode compared to automated non-distracted mode and manual driving. Furthermore, the question of users’ information requirements was translated into iHMI design preferences. For this purpose, four different iHMI prototypes based on a 360° LED light-band communicating via color-coded interaction design, which proved to work well for lower levels, were evaluated regarding the information richness level sufficient for users for highly automated driving (SAE level 4). Results show that the sufficient information richness level is conditional upon gender. Implications for future research and applied issues will be discussed.

Item URL in elib:https://elib.dlr.de/137471/
Document Type:Conference or Workshop Item (Poster)
Title:Users’ Internal HMI Information Requirements for Highly Automated Driving
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Lau, MerleMerle.Lau (at) dlr.deUNSPECIFIED
Wilbrink, Marcmarc.wilbrink (at) dlr.dehttps://orcid.org/0000-0002-7550-8613
Dodiya, Jankijanki.dodiya (at) dlr.deUNSPECIFIED
Oehl, MichaelMichael.Oehl (at) dlr.dehttps://orcid.org/0000-0002-0871-2286
Date:8 November 2020
Journal or Publication Title:22nd International Conference on Human-Computer Interaction, HCII 2020
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1007/978-3-030-60703-6_75
Page Range:pp. 585-592
EditorsEmailEditor's ORCID iD
Series Name:Communications in Computer and Information Science
Keywords:Highly automated driving, Internal HMI, Intelligent HMI, User-centered design
Event Title:International Conference on Human-Computer Interaction International (HCII) 2020
Event Location:Virtual Conference
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Zukunftsbilder eines automatisierten integrierten Verkehrssystems
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Development of vehicle functions
Deposited By: Lau, Merle
Deposited On:23 Nov 2020 11:28
Last Modified:23 Nov 2020 11:28

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