Validating an efficient method to quantify motion sickness

Publication type:
Journal article
Metadata:
Autoren
  • Behrang Keshavarz
  • Heiko Hecht
Sammlungen
  • metadata
ISSN
0018-7208
Ausgabe der Veröffentlichung
4
Zeitschrift
Human factors
Schlüsselwörter
  • 150 Psychologie
  • 150 Psychology
Sprache
eng
Paginierung
Seiten: 415 - 426
Datum der Veröffentlichung
2011
Herausgeber
Sage Publications Inc.
Herausgeber URL
http://dx.doi.org/10.1177/0018720811403736
Datum der Datenerfassung
2020
Datum, an dem der Datensatz öffentlich gemacht wurde
2020
Zugang
Public
Titel
Validating an efficient method to quantify motion sickness
Ausgabe der Zeitschrift
53

Data source: METADATA.UB

Other metadata sources:
Autoren
  • Behrang Keshavarz
  • Heiko Hecht
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000292987600008&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1177/0018720811403736
Externe Identifier
  • Clarivate Analytics Document Solution ID: 795QB
  • PubMed Identifier: 21901938
ISSN
0018-7208
Ausgabe der Veröffentlichung
4
Zeitschrift
HUMAN FACTORS
Schlüsselwörter
  • sensory conflict
  • visually induced motion sickness
  • rating scales
  • expectancy effects
Paginierung
415 - 426
Datum der Veröffentlichung
2011
Status
Published
Titel
Validating an Efficient Method to Quantify Motion Sickness
Sub types
  • Article
Ausgabe der Zeitschrift
53

Data source: Web of Science (Lite)

Abstract
<jats:p>Objective: Motion sickness (MS) can be a debilitating side effect associated with motion in real or virtual environments. We analyzed the effect of expectancy on MS and propose and validate a fast and simple MS measure.</jats:p><jats:p>Background: Several questionnaires measure MS before or after stimulus presentation, but no satisfactory tool has been established to quickly capture MS data during exposure. To fill this gap, we introduce the Fast MS Scale (FMS), a verbal rating scale ranging from zero (no sickness at all) to 20 (frank sickness). Also, little is known about the role of expectancy effects in MS studies. We conducted an experiment that addressed this issue.</jats:p><jats:p>Method: For this study, 126 volunteers participated in two experiments. During stimulus presentation, participants had to verbally rate the severity of MS every minute before filling in the Simulator Sickness Questionnaire (SSQ). To measure expectancy effects, participants were separated into three groups with either positive, negative, or neutral expectations.</jats:p><jats:p>Results: We compared the verbal ratings with the SSQ scores. Pearson correlations were high for both the SSQ total score (r = .785) and the nausea subscore (r = .828). No expectancy effects were found.</jats:p><jats:p>Conclusion: The FMS is a fast and valid method to obtain MS data. It offers the possibility to record MS during stimulus presentation and to capture its time course. We found expectancy not to play a crucial role in MS. However, the FMS has some limitations.</jats:p><jats:p>Application: The FMS offers improved MS measurement. It is fast and efficient and can be performed online in environments such as virtual reality.</jats:p>
Autoren
  • Behrang Keshavarz
  • Heiko Hecht
DOI
10.1177/0018720811403736
eISSN
1547-8181
ISSN
0018-7208
Ausgabe der Veröffentlichung
4
Zeitschrift
Human Factors: The Journal of the Human Factors and Ergonomics Society
Sprache
en
Online publication date
2011
Paginierung
415 - 426
Datum der Veröffentlichung
2011
Status
Published
Herausgeber
SAGE Publications
Herausgeber URL
http://dx.doi.org/10.1177/0018720811403736
Datum der Datenerfassung
2021
Titel
Validating an Efficient Method to Quantify Motion Sickness
Ausgabe der Zeitschrift
53

Data source: Crossref

Abstract
<h4>Objective</h4>Motion sickness (MS) can be a debilitating side effect associated with motion in real or virtual environments. We analyzed the effect of expectancy on MS and propose and validate a fast and simple MS measure.<h4>Background</h4>Several questionnaires measure MS before or after stimulus presentation, but no satisfactory tool has been established to quickly capture MS data during exposure. To fill this gap, we introduce the Fast MS Scale (FMS), a verbal rating scale ranging from zero (no sickness at all) to 20 (frank sickness). Also, little is known about the role of expectancy effects in MS studies. We conducted an experiment that addressed this issue.<h4>Method</h4>For this study, 126 volunteers participated in two experiments. During stimulus presentation, participants had to verbally rate the severity of MS every minute before filling in the Simulator Sickness Questionnaire (SSQ). To measure expectancy effects, participants were separated into three groups with either positive, negative, or neutral expectations.<h4>Results</h4>We compared the verbal ratings with the SSQ scores. Pearson correlations were high for both the SSQ total score (r = .785) and the nausea subscore (r = .828). No expectancy effects were found.<h4>Conclusion</h4>The FMS is a fast and valid method to obtain MS data. It offers the possibility to record MS during stimulus presentation and to capture its time course. We found expectancy not to play a crucial role in MS. However, the FMS has some limitations.<h4>Application</h4>The FMS offers improved MS measurement. It is fast and efficient and can be performed online in environments such as virtual reality.
Addresses
  • Department of Experimental Psychology, Johannes Gutenberg-Universität Mainz, Germany. behrang.keshavarz@uni-mainz.de
Autoren
  • Behrang Keshavarz
  • Heiko Hecht
DOI
10.1177/0018720811403736
eISSN
1547-8181
Externe Identifier
  • PubMed Identifier: 21901938
Open access
false
ISSN
0018-7208
Ausgabe der Veröffentlichung
4
Zeitschrift
Human factors
Schlüsselwörter
  • Humans
  • Motion Sickness
  • Nausea
  • Eye Movements
  • Severity of Illness Index
  • Posture
  • Computer Simulation
  • Diagnostic Self Evaluation
  • Conflict, Psychological
Sprache
eng
Medium
Print
Paginierung
415 - 426
Datum der Veröffentlichung
2011
Status
Published
Datum der Datenerfassung
2011
Titel
Validating an efficient method to quantify motion sickness.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
53

Data source: Europe PubMed Central

Abstract
OBJECTIVE: Motion sickness (MS) can be a debilitating side effect associated with motion in real or virtual environments. We analyzed the effect of expectancy on MS and propose and validate a fast and simple MS measure. BACKGROUND: Several questionnaires measure MS before or after stimulus presentation, but no satisfactory tool has been established to quickly capture MS data during exposure. To fill this gap, we introduce the Fast MS Scale (FMS), a verbal rating scale ranging from zero (no sickness at all) to 20 (frank sickness). Also, little is known about the role of expectancy effects in MS studies. We conducted an experiment that addressed this issue. METHOD: For this study, 126 volunteers participated in two experiments. During stimulus presentation, participants had to verbally rate the severity of MS every minute before filling in the Simulator Sickness Questionnaire (SSQ). To measure expectancy effects, participants were separated into three groups with either positive, negative, or neutral expectations. RESULTS: We compared the verbal ratings with the SSQ scores. Pearson correlations were high for both the SSQ total score (r = .785) and the nausea subscore (r = .828). No expectancy effects were found. CONCLUSION: The FMS is a fast and valid method to obtain MS data. It offers the possibility to record MS during stimulus presentation and to capture its time course. We found expectancy not to play a crucial role in MS. However, the FMS has some limitations. APPLICATION: The FMS offers improved MS measurement. It is fast and efficient and can be performed online in environments such as virtual reality.
Autoren
  • Behrang Keshavarz
  • Heiko Hecht
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/21901938
DOI
10.1177/0018720811403736
ISSN
0018-7208
Ausgabe der Veröffentlichung
4
Zeitschrift
Hum Factors
Schlüsselwörter
  • Computer Simulation
  • Conflict, Psychological
  • Diagnostic Self Evaluation
  • Eye Movements
  • Humans
  • Motion Sickness
  • Nausea
  • Posture
  • Severity of Illness Index
Sprache
eng
Country
United States
Paginierung
415 - 426
Datum der Veröffentlichung
2011
Status
Published
Datum, an dem der Datensatz öffentlich gemacht wurde
2011
Titel
Validating an efficient method to quantify motion sickness.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
53

Data source: PubMed

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