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 or section in a book/report/conference proceedingChapter in a published conference proceeding

1 Citation (SciVal)

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 publication14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
PublisherAssociation for Computing Machinery
Pages157-160
ISBN (Electronic)9781450394284
DOIs
Publication statusPublished - 17 Sept 2022
EventAutomotiveUI '22: 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - Seoul , Korea, Republic of
Duration: 17 Sept 202220 Sept 2022

Conference

ConferenceAutomotiveUI '22
Country/TerritoryKorea, Republic of
CitySeoul
Period17/09/2220/09/22

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