Autonomous driving paper index
The Fast Motion Sickness Scale Revisited: Introducing Comparable Scales for Dizziness and Oculomotor Strain
One-line summary
Objective We introduce two novel scales to measure two important aspects of motion sickness, dizziness and eye strain.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Objective We introduce two novel scales to measure two important aspects of motion sickness, dizziness and eye strain. Background The Fast Motion Sickness Scale (FMS) has become a valuable tool to assess motion sickness whenever quick unobtrusive measures need to be taken. It is well-anchored and provides scalable, quantitative data. However, it does not differentiate among symptoms of motion sickness. Method We discuss the benefits and shortcomings of the FMS as well as other, symptom-based rating scales. We present a taxonomy to assess symptom clusters and illustrate the trade-off between fast global and more detailed measures of motion sickness correlates. Results We introduced two separate FMS variants, focusing separately on oculomotor discomfort (FMS-O) and dizziness (FMS-D). Observers have successfully used these scales. Conclusion The novel scales, FMS-D and FMS-O, can summarily capture, in a non-redundant fashion, dizziness and eye strain. For the third cluster, nausea, the original FMS scale remains successful. Together, they capture the main symptom clusters of motion sickness. Application Together with the original FMS, the new scales provide a powerful instrument that can be used to sample feelings of dizziness, eye strain, and nausea at frequent intervals. For instance, taken once per minute, they can efficiently monitor well-being in real time in challenging situations, such as autonomous driving or Virtual Reality applications.
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