Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys

Katharina Margareta Theresa Pöhlmann; Gang Li; Abhraneil Dam; Yu Kai Wang; Chun Shu Wei; Adrian Brietzke; Georgios Papaioannou

doi:10.1145/3544999.3550156

Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys

Katharina Margareta Theresa Pöhlmann, Gang Li, Abhraneil Dam, Yu Kai Wang, Chun Shu Wei, Adrian Brietzke, Georgios Papaioannou

Intelligent Vehicles

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

8 Downloads (Pure)

Abstract

The mass adoption of automated vehicles in the near future will benefit safety (of occupants and pedestrians), the environment (low emissions), and society (accessibility, on-demand travel). There are, however, still challenges that need to be addressed, with one of the most crucial being motion sickness. In automated vehicles, the interior could be transformed into a living room or a working space, allowing occupants to spend their time with non-driving activities. These changes are likely to provoke, and increase, motion sickness incidence. To that end, this workshop will explore the current state of motion sickness detection and mitigation methods from different angles (e.g., closed-loop detection, multimodal motion cues,etc.) through expert talks and reflections, followed by discussions. The workshop will develop an agenda for motion sickness research in automated vehicles, facilitate new research ideas and fruitful collaborations.

Original language	English
Title of host publication	Adjunct Proceedings of the 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
Publisher	Association for Computing Machinery (ACM)
Pages	157-160
ISBN (Electronic)	978-1-4503-9428-4
DOIs	https://doi.org/10.1145/3544999.3550156
Publication status	Published - 2022
Event	14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 - Seoul, Korea, Republic of Duration: 17 Sept 2022 → 20 Sept 2022

Conference

Conference	14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
Country/Territory	Korea, Republic of
City	Seoul
Period	17/09/22 → 20/09/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Automated Vehicles
Comfort
Detection
Mitigation
Motion Sickness

Access to Document

10.1145/3544999.3550156

3544999.3550156Final published version, 467 KB

Cite this

Pöhlmann, K. M. T., Li, G., Dam, A., Wang, Y. K., Wei, C. S., Brietzke, A., & Papaioannou, G. (2022). Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys. In Adjunct Proceedings of the 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 (pp. 157-160). Association for Computing Machinery (ACM). https://doi.org/10.1145/3544999.3550156

Pöhlmann, Katharina Margareta Theresa ; Li, Gang ; Dam, Abhraneil et al. / Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys. Adjunct Proceedings of the 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022. Association for Computing Machinery (ACM), 2022. pp. 157-160

@inproceedings{cf2152afa5754c0daa5f89bc0b1cee7f,

title = "Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys",

abstract = "The mass adoption of automated vehicles in the near future will benefit safety (of occupants and pedestrians), the environment (low emissions), and society (accessibility, on-demand travel). There are, however, still challenges that need to be addressed, with one of the most crucial being motion sickness. In automated vehicles, the interior could be transformed into a living room or a working space, allowing occupants to spend their time with non-driving activities. These changes are likely to provoke, and increase, motion sickness incidence. To that end, this workshop will explore the current state of motion sickness detection and mitigation methods from different angles (e.g., closed-loop detection, multimodal motion cues,etc.) through expert talks and reflections, followed by discussions. The workshop will develop an agenda for motion sickness research in automated vehicles, facilitate new research ideas and fruitful collaborations. ",

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author = "P{\"o}hlmann, {Katharina Margareta Theresa} and Gang Li and Abhraneil Dam and Wang, {Yu Kai} and Wei, {Chun Shu} and Adrian Brietzke and Georgios Papaioannou",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 ; Conference date: 17-09-2022 Through 20-09-2022",

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doi = "10.1145/3544999.3550156",

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Pöhlmann, KMT, Li, G, Dam, A, Wang, YK, Wei, CS, Brietzke, A & Papaioannou, G 2022, Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys. in Adjunct Proceedings of the 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022. Association for Computing Machinery (ACM), pp. 157-160, 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022, Seoul, Korea, Republic of, 17/09/22. https://doi.org/10.1145/3544999.3550156

Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys. / Pöhlmann, Katharina Margareta Theresa; Li, Gang; Dam, Abhraneil et al.
Adjunct Proceedings of the 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022. Association for Computing Machinery (ACM), 2022. p. 157-160.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys

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AU - Dam, Abhraneil

AU - Wang, Yu Kai

AU - Wei, Chun Shu

AU - Brietzke, Adrian

AU - Papaioannou, Georgios

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2022

Y1 - 2022

N2 - The mass adoption of automated vehicles in the near future will benefit safety (of occupants and pedestrians), the environment (low emissions), and society (accessibility, on-demand travel). There are, however, still challenges that need to be addressed, with one of the most crucial being motion sickness. In automated vehicles, the interior could be transformed into a living room or a working space, allowing occupants to spend their time with non-driving activities. These changes are likely to provoke, and increase, motion sickness incidence. To that end, this workshop will explore the current state of motion sickness detection and mitigation methods from different angles (e.g., closed-loop detection, multimodal motion cues,etc.) through expert talks and reflections, followed by discussions. The workshop will develop an agenda for motion sickness research in automated vehicles, facilitate new research ideas and fruitful collaborations.

AB - The mass adoption of automated vehicles in the near future will benefit safety (of occupants and pedestrians), the environment (low emissions), and society (accessibility, on-demand travel). There are, however, still challenges that need to be addressed, with one of the most crucial being motion sickness. In automated vehicles, the interior could be transformed into a living room or a working space, allowing occupants to spend their time with non-driving activities. These changes are likely to provoke, and increase, motion sickness incidence. To that end, this workshop will explore the current state of motion sickness detection and mitigation methods from different angles (e.g., closed-loop detection, multimodal motion cues,etc.) through expert talks and reflections, followed by discussions. The workshop will develop an agenda for motion sickness research in automated vehicles, facilitate new research ideas and fruitful collaborations.

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KW - Comfort

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BT - Adjunct Proceedings of the 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022

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Y2 - 17 September 2022 through 20 September 2022

ER -

Pöhlmann KMT, Li G, Dam A, Wang YK, Wei CS, Brietzke A et al. Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys. In Adjunct Proceedings of the 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022. Association for Computing Machinery (ACM). 2022. p. 157-160 doi: 10.1145/3544999.3550156

Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys

Abstract

Conference

Bibliographical note

Keywords

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