AutoUI'23: Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys
We are excited to announce that we will run a workshop on multimodal motion sickness detection and mitigation methods for car Journeys at the AutoUI '23 conference in Ingolstadt, Germany!
Workshop Introduction
This workshop will build on the goals defined in the previous workshop, (1) highlighting the need for motion sickness research in the future of AVs, (2) strengthen the community of motion sickness researchers by facilitating collaboration across research domains, institutions and industry to further contribute to the success ad progression in the field, and most pressingly (3) this workshop will form the basis for a consensus in the research field regarding methodologies used and will aid the development of guidelines for motion sickness researches to improve and speed up the design stage of research studies allow for direct comparison between studies between research groups and allow for easy replication of findings. In this workshop the organisers will bring together members of the AutoUI community and beyond as well as researchers from the industry with a background in motion sickness research.
Important Dates and Call for Participation
This workshop is open for anyone who wants to attend in person or online as part of AutoUI’23. The in person slots are limited to around 30-40 places due to room sizes. You can check the AutoUI registration page for more details about registration for the conference.
- Workshop Date: 18/09/2023
- You can also share and present your own work during this workshop. Participants can submit a short abstract outlining the work they would like to present. The organisers will then select a few of the submission for presentations. Each presentation is about 3 min long with 2 min for questions.
Participation and Contact
Workshop queries should go to Katharina Pöhlmann (katharina.pohlmann@glasgow.ac.uk).
We encourage anyone interested to join our workshop! Participants that want to present their own work at the workshop are encouraged to submit a short abstract (max. 500 words) outlining their current research. Submission should not be anonymous.
Submissions will be juried by the organizers, based on the level of contribution to the workshop. Accepted submissions are expected to prepare a 3 min presentation, this can be delivered in person or online on the day. Alternatively, participants can submit a 3 min video that will be played during the workshop, participants are, however, encouraged to be available for their Q&A session.
Abstracts should be submitted by attaching a .pdf file to an email addressed to katharina.pohlmann@glasgow.ac.uk with the subject: AutoUI’23 Workshop Submission
Workshop Schedule
| Activity | Time | Content |
|---|---|---|
| Organiser Introductions | 10 Minutes | Workshop organisers introduce themselves. |
| Workshop Introduction | 10 Minutes | Workshop organisers introduce the workshop schedule and goals. |
| Participant Presentations | 30 Minutes | Attendees who have submitted abstracts present their submissions. |
| Group Discussion | 30 Minutes | Introduction to Discussion Topics and forming smaller Discussion Group. |
| Short Break |
20 Minutes | - |
| Open Discussion | 40 Minutes | Workshop organisers and attendees openly discuss motion sickness and mitigation in car journeys. |
| Participant Group Presentations | 40 Minutes | Participants will be split into smaller groups. They will then present their discussion outcome and openly discuss this with other attendees. |
| Keynote | 30 Minutes | A closing keynote on the topic. |
Workshop Organisers
- Katharina Pöhlmann is a Post-doctoral Researcher Fellow at the KITE Rehabilitation Institute in Toronto and is an affiliate researcher at the University of Glasgow working on the ViAjeRo project (https://viajero-project.org/). She earned her PhD in Psychology at the University of Lincoln. Her research focuses on using multisensory motion cues to reduce motion sickness.
- Ammar Al-Taie is a PhD student in the School of Computing Science at the University of Glasgow. His area of research is Autonomous Vehicle-Cyclist interaction. This often involves utilising unconventional technologies, such as new displays on the car’s exterior. Ammar is a "hands-on" researcher; most of his work is conducted in real-world settings using new technologies such as eye-tracking.
- Gang Li holds a PhD in Electronic Engineering from Pukyong National University, South Korea. Gang’s expertise is the design and implementation of the closed-loop EEG-based brain-machine interface system coupled with brain stimulation (tDCS/tACS) techniques. He is a research associate of translational neuroscience leading a VR motion sickness mitigation project funded by the UK Medical Research Council.
- Abhraneil Dam is a third year PhD candidate at the Mind Music Machine Lab in Virginia Tech. Abhraneil is conducting research on the topic of motion sickness in passengers of AVs as his dissertation work; he also worked on the topics of audio augmented reality, and safety of distracted pedestrians at unsignalized crosswalks. Prior to his PhD program, he earned his MSE degree in Automotive Systems Engineering from the University of Michigan-Dearborn.
- Yu-Kai Wang is currently a Senior Lecturer and core member of the Australia Artificial Intelligence Institute within the Faculty of Engineering and Information Technology at University of Technology Sydney, Australia. His current research interests include computational neuroscience, human performance modelling, artificial intelligence, brain-computer interface and human-AI teaming.
- Chun-Shu Wei is an Assistant Professor (Hwa Tse Roger Liang Junior Chair Professor) at the Department of Computer Science, National Yang Ming Chiao Tung University. He received his Ph.D. degree in Bioengineering from the University of California San Diego, and worked as a Postdoctoral Researcher at the School of Medicine, Stanford University. His research interests include brain-computer interfaces, neural computation, machine learning, and biomedical signal processing.
- Georgios Papaioannou is an Assistant Professor at TU Delft within the Intelligent Vehicles group. He received his PhD from the National Technical University of Athens, Greece, in 2019 . His research interests include motion comfort, seat comfort, human body modelling, AVs, optimisation and control.