1. Understanding and managing motion sickness in future vehicles : innovation report
- Author
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Smyth, Joseph
- Subjects
RC Internal medicine ,TL Motor vehicles. Aeronautics. Astronautics - Abstract
Almost everyone is susceptible to motion sickness, and around one in three people are known to be highly susceptible. It has been argued that the use of automated vehicles will increase motion sickness severity and onset frequency for those who already regularly suffer from it, as well as for those who are susceptible, but don't regularly get motion sick in traditional vehicles. This is primarily due to the engagement with non-driving activities which cause sensory conflict, the relinquishing of control which prevents apprehension of current and upcoming motion, and the limited ability to self-mitigate due to potential vehicle designs and the inability to take control of the dynamic driving task in a fully automated vehicle. This research first contextualised the relationship between motion sickness and future automotive technologies - covering both research focused driving simulators as well as 'real-world' use cases for on-road partially to fully automated vehicles. A framework for future research was developed and three core projects were established, positioned to cover the breadth of the field. Following this framework, the first project explored the impact of motion sickness on human performance, this was followed by the development of a method of reducing susceptibility to motion sickness and finally, objective measurements of motion sickness were explored. Motion sickness is a consideration for not only the day-to-day utility of future automated vehicles, but also within the development and simulator-based testing of such technology. Despite the myriad benefits of driving simulators for developing future technology, one significant side effect is simulator-induced motion sickness or 'simulation sickness'. The first project, using both simulator-based and real-world experimentation, explored the effect of motion sickness on human performance - informing our understanding about transferability of simulator data to 'real-world' as well as providing insights into the relationship between motion sickness and productivity for future vehicles. The second research project proposes, develops, tests and validates a novel method of reducing motion sickness susceptibility by way of specific visual-cognitive training activities. Experimentation began using a high fidelity driving simulator where it was first shown how it is possible to increase visuospatial skills through a novel assimilation and application of a pen-and-paper training pack. Subsequently, this increased visuospatial skill reduced both subjective simulator sickness by 58%, and dropouts due to severe motion sickness by 60%. This simulator-based study was followed up with an on-road study where the visuospatial training pack was further validated for 'real-world' utility and was shown to be responsible for a reduction in motion sickness by 52% across the experimental group. Further to the core findings presented, an industry-focused workshop identified ways in which this new knowledge can be exploited for consumer-focused utility. This research also contributes to the fundamental understanding of the relationship between visuospatial ability and motion sickness susceptibility. Through extensive simulator-based and on-road motion sickness experimentation, the third research project pulls together physiological and subjective motion sickness data to explore concepts for objectively measuring and detecting motion sickness in real-time. Building upon literature from both motion sickness and machine learning fields, a wide range of data types, from demographics, to vehicle conditions, to occupant activity and route design are highlighted to be potentially useful in future objective motion sickness studies. Based on these sources of data, and many more, a new model is proposed through which motion sickness related data can be collected to aid in the objective measurement of motion sickness. The research conducted here provides a novel contribution in understanding motion sickness related human performance degradation and provides an interesting discussion about the impact this may have for both simulator trials, and automated vehicle utility. Through the design and validation of a novel training tool for reducing motion sickness susceptibility (in simulators and 'real-world') this research adds to the knowledge about our fundamental understanding of motion sickness and provides an innovative solution to address the issue of motion sickness. Further contributions are found within the research looking at objective measurements of motion sickness and among other various design recommendations.
- Published
- 2019