Literature DB >> 31046959

Motion sickness in automated vehicles with forward and rearward facing seating orientations.

Spencer Salter1, Cyriel Diels2, Paul Herriotts3, Stratis Kanarachos4, Doug Thake5.   

Abstract

Automated vehicles (AV's) offer greater flexibility in cabin design particularly in a future where no physical driving controls are required. One common concept for an automated vehicle is to have both forward and rearward facing seats. However, traveling backwards could lead to an increased likelihood of experiencing motion sickness due to the inability of occupants to anticipate the future motion trajectory. This study aimed to empirically evaluate the impact of seating orientation on the levels of motion sickness within an AV cabin. To this end, a vehicle was modified to replicate the common concept of automated vehicles with forward and rearward facing seats. Two routes were chosen to simulate motorway and urban driving. The participants were instructed to carry out typical office tasks whilst being driven in the vehicle which consisted of conducting a meeting, operating a personal device and taking notes. The participants conducted the test twice to experience both forward and rearward seating orientations in a randomised crossover design. Levels of sickness reported was relatively low with a significant increase in the mean level of sickness recorded when traveling rearwards. As expected, this increase was particularly pronounced under urban driving conditions. It is concluded that rearward travel in automated vehicles will compromise the passenger experience. Crown
Copyright © 2019. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Automated vehicle; Motion sickness; Seating orientation

Mesh:

Year:  2019        PMID: 31046959     DOI: 10.1016/j.apergo.2019.02.001

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  3 in total

1.  Knowing What's Coming: Unpredictable Motion Causes More Motion Sickness.

Authors:  Ouren X Kuiper; Jelte E Bos; Eike A Schmidt; Cyriel Diels; Stefan Wolter
Journal:  Hum Factors       Date:  2019-10-07       Impact factor: 2.888

2.  Analysing the effect of gender on the human-machine interaction in level 3 automated vehicles.

Authors:  Shuo Li; Phil Blythe; Yanghanzi Zhang; Simon Edwards; Weihong Guo; Yanjie Ji; Paul Goodman; Graeme Hill; Anil Namdeo
Journal:  Sci Rep       Date:  2022-07-08       Impact factor: 4.996

3.  Research on the Comfort of Vehicle Passengers Considering the Vehicle Motion State and Passenger Physiological Characteristics: Improving the Passenger Comfort of Autonomous Vehicles.

Authors:  Chang Wang; Xia Zhao; Rui Fu; Zhen Li
Journal:  Int J Environ Res Public Health       Date:  2020-09-18       Impact factor: 3.390

  3 in total

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