Knowing what's coming: Anticipatory audio cues can mitigate motion sickness.


Journal

Applied ergonomics
ISSN: 1872-9126
Titre abrégé: Appl Ergon
Pays: England
ID NLM: 0261412

Informations de publication

Date de publication:
May 2020
Historique:
received: 17 07 2019
revised: 16 01 2020
accepted: 28 01 2020
entrez: 17 3 2020
pubmed: 17 3 2020
medline: 22 12 2020
Statut: ppublish

Résumé

Being able to anticipate upcoming motion is known to potentially mitigate sickness resulting from provocative motion. We investigated whether auditory cues could increase anticipation and subsequently reduce motion sickness. Participants (N = 20) were exposed on a sled on a rail track to two 15-min conditions. Both were identical in terms of motion, being composed of the same repeated 9 m fore-aft displacements, with a semi-random timing of pauses and direction. The auditory cues were either 1) informative on the timing and direction of the upcoming motion, or 2) non-informative. Illness ratings were recorded at 1-min intervals using a 11-point scale. After exposure, average illness ratings were significantly lower for the condition that contained informative auditory cues, as compared to the condition without informative cues. This knowledge, i.e. that auditory signals can improve anticipation to motion, could be of importance in reducing carsickness in domains such as that of autonomous vehicles.

Identifiants

pubmed: 32174356
pii: S0003-6870(20)30021-1
doi: 10.1016/j.apergo.2020.103068
pii:
doi:

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

103068

Informations de copyright

Copyright © 2020. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: This research was supported by Ford Research and Advanced Engineering. There was no sponsor decisive involvement in the design of the experiment, nor in the collection, analysis, and interpretation of the data and the decision to submit for publication.

Auteurs

Ouren X Kuiper (OX)

Vrije Universiteit, Amsterdam, Netherlands.

Jelte E Bos (JE)

Vrije Universiteit, Amsterdam, Netherlands; TNO Soesterberg, Netherlands. Electronic address: jelte.bos@tno.nl.

Cyriel Diels (C)

Royal College of Art, London, United Kingdom.

Eike A Schmidt (EA)

Ford Research Center, Aachen, Germany.

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Classifications MeSH