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

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
發行者Association for Computing Machinery, Inc
頁面157-160
頁數4
ISBN(電子)9781450394284
DOIs
出版狀態Published - 17 9月 2022
事件14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 - Seoul, Korea, Republic of
持續時間: 17 9月 202220 9月 2022

出版系列

名字Adjunct 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
國家/地區Korea, Republic of
城市Seoul
期間17/09/2220/09/22

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