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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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 languageEnglish
Title of host publicationAdjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
PublisherAssociation for Computing Machinery, Inc
Pages157-160
Number of pages4
ISBN (Electronic)9781450394284
DOIs
StatePublished - 17 Sep 2022
Event14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 - Seoul, Korea, Republic of
Duration: 17 Sep 202220 Sep 2022

Publication series

NameAdjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022

Conference

Conference14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
Country/TerritoryKorea, Republic of
CitySeoul
Period17/09/2220/09/22

Keywords

  • Automated Vehicles
  • Comfort
  • Detection
  • Mitigation
  • Motion Sickness

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