Evaluation of a Human–Machine Interface for Motion Sickness Mitigation Utilizing Anticipatory Ambient Light Cues in a Realistic Automated Driving Setting
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’...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/12/4/176 |
| _version_ | 1797537051691712512 |
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| author | Rebecca Hainich Uwe Drewitz Klas Ihme Jan Lauermann Mathias Niedling Michael Oehl |
| author_facet | Rebecca Hainich Uwe Drewitz Klas Ihme Jan Lauermann Mathias Niedling Michael Oehl |
| author_sort | Rebecca Hainich |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T12:10:34Z |
| format | Article |
| id | doaj.art-62e2cb7568c449df9028d3a0bd78449a |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-10T12:10:34Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-62e2cb7568c449df9028d3a0bd78449a2023-11-21T16:16:19ZengMDPI AGInformation2078-24892021-04-0112417610.3390/info12040176Evaluation of a Human–Machine Interface for Motion Sickness Mitigation Utilizing Anticipatory Ambient Light Cues in a Realistic Automated Driving SettingRebecca Hainich0Uwe Drewitz1Klas Ihme2Jan Lauermann3Mathias Niedling4Michael Oehl5Institute of Transportation Systems, German Aerospace Center (DLR), 38108 Braunschweig, GermanyInstitute of Transportation Systems, German Aerospace Center (DLR), 38108 Braunschweig, GermanyInstitute of Transportation Systems, German Aerospace Center (DLR), 38108 Braunschweig, GermanyInstitute of Transportation Systems, German Aerospace Center (DLR), 38108 Braunschweig, GermanyHella GmbH & Co. KGaA, 59557 Lippstadt, GermanyInstitute of Transportation Systems, German Aerospace Center (DLR), 38108 Braunschweig, GermanyMotion 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.https://www.mdpi.com/2078-2489/12/4/176motion sicknesskinetosisautomated vehicleshuman–machine interfacerealistic driving study on test track |
| spellingShingle | Rebecca Hainich Uwe Drewitz Klas Ihme Jan Lauermann Mathias Niedling Michael Oehl Evaluation of a Human–Machine Interface for Motion Sickness Mitigation Utilizing Anticipatory Ambient Light Cues in a Realistic Automated Driving Setting Information motion sickness kinetosis automated vehicles human–machine interface realistic driving study on test track |
| title | Evaluation of a Human–Machine Interface for Motion Sickness Mitigation Utilizing Anticipatory Ambient Light Cues in a Realistic Automated Driving Setting |
| title_full | Evaluation of a Human–Machine Interface for Motion Sickness Mitigation Utilizing Anticipatory Ambient Light Cues in a Realistic Automated Driving Setting |
| title_fullStr | Evaluation of a Human–Machine Interface for Motion Sickness Mitigation Utilizing Anticipatory Ambient Light Cues in a Realistic Automated Driving Setting |
| title_full_unstemmed | Evaluation of a Human–Machine Interface for Motion Sickness Mitigation Utilizing Anticipatory Ambient Light Cues in a Realistic Automated Driving Setting |
| title_short | Evaluation of a Human–Machine Interface for Motion Sickness Mitigation Utilizing Anticipatory Ambient Light Cues in a Realistic Automated Driving Setting |
| title_sort | evaluation of a human machine interface for motion sickness mitigation utilizing anticipatory ambient light cues in a realistic automated driving setting |
| topic | motion sickness kinetosis automated vehicles human–machine interface realistic driving study on test track |
| url | https://www.mdpi.com/2078-2489/12/4/176 |
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