Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys
Katharina Margareta Theresa Pöhlmann (University of Glasgow)
Zhi Gang Li (University of Glasgow)
Abhraneil Dam (Virginia Polytechnic Institute and State University)
Yu Kai Wang (University of Technology Sydney)
Chun Shu Wei (National Yang Ming Chiao Tung University, Hsinchu)
Adrian Brietzke (Volkswagen AG)
G. Papaioannou (TU Delft - Intelligent Vehicles)
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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.