Efficacy of augmented visual environments for reducing sickness in autonomous vehicles

Appl Ergon. 2021 Jan:90:103282. doi: 10.1016/j.apergo.2020.103282. Epub 2020 Oct 13.

Abstract

The risk of motion sickness is considerably higher in autonomous vehicles than it is in human-operated vehicles. Their introduction will therefore require systems that mitigate motion sickness. We investigated whether this can be achieved by augmenting the vehicle interior with additional visualizations. Participants were immersed in motion simulations on a moving-base driving simulator, where they were backward-facing passengers of an autonomous vehicle. Using a Head-Mounted Display, they were presented either with a regular view from inside the vehicle, or with augmented views that offered additional cues on the vehicle's present motion or motion 500ms into the future, displayed on the vehicle's interior panels. In contrast to the hypotheses and other recent studies, no difference was found between conditions. The absence of differences between conditions suggests a ceiling effect: providing a regular view may limit motion sickness, but presentation of additional visual information beyond this does not further reduce sickness.

Keywords: Anticipatory; Autonomous; Motion; Predictive; Sickness; Vehicles; Visual.

MeSH terms

  • Automobile Driving*
  • Cues
  • Forecasting
  • Humans
  • Motion
  • Motion Sickness* / etiology
  • Motion Sickness* / prevention & control