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

Pöhlmann, K. M. T., Li, G. , Dam, A., Wang, Y.-K., Wei, C.-S., Brietzke, A. and Papaioannou, G. (2022) Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys. Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '22), Seoul, South Korea, 17-20 Sep 2022. pp. 157-160. ISBN 9781450394284 (doi: 10.1145/3544999.3550156)

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.

• Item Type: Conference or Workshop Item
• Additional Information: This research is sponsored by European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 835197).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Pohlmann, Ms Katharina and Li, Dr Gang
• Authors: Pöhlmann, K. M. T., Li, G., Dam, A., Wang, Y.-K., Wei, C.-S., Brietzke, A., and Papaioannou, G.
• College/School: College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience; College of Science and Engineering > School of Computing Science
• ISBN: 9781450394284