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Methodological Considerations Concerning Motion Sickness Investigations during Automated Driving

Dominik Mühlbacher, Markus Tomzig, Katharina Reinmüller, Lena Rittger

2020Information43 citationsDOIOpen Access PDF

Abstract

Automated driving vehicles will allow all occupants to spend their time with various non-driving related tasks like relaxing, working, or reading during the journey. However, a significant percentage of people is susceptible to motion sickness, which limits the comfort of engaging in those tasks during automated driving. Therefore, it is necessary to investigate the phenomenon of motion sickness during automated driving and to develop countermeasures. As most existing studies concerning motion sickness are fundamental research studies, a methodology for driving studies is yet missing. This paper discusses methodological aspects for investigating motion sickness in the context of driving including measurement tools, test environments, sample, and ethical restrictions. Additionally, methodological considerations guided by different underlying research questions and hypotheses are provided. Selected results from own studies concerning motion sickness during automated driving which were conducted in a motion-based driving simulation and a real vehicle are used to support the discussion.

Topics & Concepts

Motion sicknessMotion (physics)Context (archaeology)Computer scienceSample (material)SimulationHuman–computer interactionArtificial intelligencePsychologyPsychiatryPaleontologyChemistryChromatographyBiologyVirtual Reality Applications and ImpactsHuman-Automation Interaction and SafetyMusculoskeletal pain and rehabilitation
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