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Evaluation of a Human–Machine Interface for Motion Sickness Mitigation Utilizing Anticipatory Ambient Light Cues in a Realistic Automated Driving Setting

Hainich, Rebecca and Drewitz, Uwe and Ihme, Klas and Lauermann, Jan and Niedling, Mathias and Oehl, Michael (2021) Evaluation of a Human–Machine Interface for Motion Sickness Mitigation Utilizing Anticipatory Ambient Light Cues in a Realistic Automated Driving Setting. Information, 12 (4). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/info12040176. ISSN 2078-2489.

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Official URL: https://www.mdpi.com/2078-2489/12/4/176/htm

Abstract

Motion sickness (MS) is a syndrome associated with symptoms like nausea, dizziness, and other forms of physical discomfort. Automated vehicles (AVs) are potent at inducing MS because users are not adapted to this novel form of transportation, are provided with less information about the own vehicle’s trajectory, and are likely to engage in non-driving related tasks. Because individuals with an especially high MS susceptibility could be limited in their use of AVs, the demand for MS mitigation strategies is high. Passenger anticipation has been shown to have a modulating effect on symptoms, thus mitigating MS. To find an effective mitigation strategy, the prototype of a human–machine interface (HMI) that presents anticipatory ambient light cues for the AV’s next turn to the passenger was evaluated. In a realistic driving study with participants (N = 16) in an AV on a test track, an MS mitigation effect was evaluated based on the MS increase during the trial. An MS mitigation effect was found within a highly susceptible subsample through the presentation of anticipatory ambient light cues. The HMI prototype was proven to be effective regarding highly susceptible users. Future iterations could alleviate MS in field settings and improve the acceptance of AVs.

Item URL in elib:https://elib.dlr.de/141899/
Document Type:Article
Title:Evaluation of a Human–Machine Interface for Motion Sickness Mitigation Utilizing Anticipatory Ambient Light Cues in a Realistic Automated Driving Setting
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Hainich, RebeccaRebecca.Hainich (at) dlr.deUNSPECIFIED
Drewitz, UweUwe.Drewitz (at) dlr.deUNSPECIFIED
Ihme, KlasKlas.Ihme (at) dlr.dehttps://orcid.org/0000-0002-7911-3512
Lauermann, Janjan.lauermann (at) dlr.deUNSPECIFIED
Niedling, MathiasHellaUNSPECIFIED
Oehl, MichaelMichael.Oehl (at) dlr.dehttps://orcid.org/0000-0002-0871-2286
Date:April 2021
Journal or Publication Title:Information
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:12
DOI :10.3390/info12040176
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2078-2489
Status:Published
Keywords:HMI, MMI, motion sickness; kinetosis; automated vehicles; human–machine interface; realistic driving study on test track
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 - Energie und Verkehr
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Cooperative Systems, BS
Deposited By: Oehl, Dr. Michael
Deposited On:23 Apr 2021 15:09
Last Modified:23 Apr 2021 15:09

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