Measuring vection: a review and critical evaluation of different methods for quantifying illusory self-motion
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Lars Kooijman
- Stefan Berti
- Houshyar Asadi
- Saeid Nahavandi
- Behrang Keshavarz
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:001017541600004&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.3758/s13428-023-02148-8
- eISSN
- 1554-3528
- Externe Identifier
- Clarivate Analytics Document Solution ID: K6LS0
- PubMed Identifier: 37369940
- ISSN
- 1554-351X
- Zeitschrift
- BEHAVIOR RESEARCH METHODS
- Schlüsselwörter
- Self-motion
- Measurement
- Binary choice
- Two-alternative forced choice
- Magnitude estimation
- Rating scales
- Distance travelled
- Chronometric
- Datum der Veröffentlichung
- 2023
- Status
- Published
- Titel
- Measuring vection: a review and critical evaluation of different methods for quantifying illusory self-motion
- Sub types
- Article
- Early Access
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Abstract
- <jats:title>Abstract</jats:title><jats:p>The sensation of self-motion in the absence of physical motion, known as <jats:italic>vection</jats:italic>, has been scientifically investigated for over a century. As objective measures of, or physiological correlates to, vection have yet to emerge, researchers have typically employed a variety of subjective methods to quantify the phenomenon of vection. These measures can be broadly categorized into the occurrence of vection (e.g., binary choice yes/no), temporal characteristics of vection (e.g., onset time/latency, duration), the quality of the vection experience (e.g., intensity rating scales, magnitude estimation), or indirect (e.g., distance travelled) measures. The present review provides an overview and critical evaluation of the most utilized vection measures to date and assesses their respective merit. Furthermore, recommendations for the selection of the most appropriate vection measures will be provided to assist with the process of vection research and to help improve the comparability of research findings across different vection studies.</jats:p>
- Autoren
- Lars Kooijman
- Stefan Berti
- Houshyar Asadi
- Saeid Nahavandi
- Behrang Keshavarz
- DOI
- 10.3758/s13428-023-02148-8
- eISSN
- 1554-3528
- Ausgabe der Veröffentlichung
- 3
- Zeitschrift
- Behavior Research Methods
- Sprache
- en
- Online publication date
- 2023
- Paginierung
- 2292 - 2310
- Status
- Published online
- Herausgeber
- Springer Science and Business Media LLC
- Herausgeber URL
- http://dx.doi.org/10.3758/s13428-023-02148-8
- Datum der Datenerfassung
- 2024
- Titel
- Measuring vection: a review and critical evaluation of different methods for quantifying illusory self-motion
- Ausgabe der Zeitschrift
- 56
Datenquelle: Crossref
- Abstract
- The sensation of self-motion in the absence of physical motion, known as vection, has been scientifically investigated for over a century. As objective measures of, or physiological correlates to, vection have yet to emerge, researchers have typically employed a variety of subjective methods to quantify the phenomenon of vection. These measures can be broadly categorized into the occurrence of vection (e.g., binary choice yes/no), temporal characteristics of vection (e.g., onset time/latency, duration), the quality of the vection experience (e.g., intensity rating scales, magnitude estimation), or indirect (e.g., distance travelled) measures. The present review provides an overview and critical evaluation of the most utilized vection measures to date and assesses their respective merit. Furthermore, recommendations for the selection of the most appropriate vection measures will be provided to assist with the process of vection research and to help improve the comparability of research findings across different vection studies.
- Addresses
- Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, Victoria, Australia. kooijman.l@outlook.com.
- Autoren
- Lars Kooijman
- Stefan Berti
- Houshyar Asadi
- Saeid Nahavandi
- Behrang Keshavarz
- DOI
- 10.3758/s13428-023-02148-8
- eISSN
- 1554-3528
- Externe Identifier
- PubMed Identifier: 37369940
- PubMed Central ID: PMC10991029
- Funding acknowledgements
- Australian Research Council: DE210101623
- National Sciences and Engineering Council of Canada:
- Deakin University:
- Open access
- true
- ISSN
- 1554-351X
- Ausgabe der Veröffentlichung
- 3
- Zeitschrift
- Behavior research methods
- Schlüsselwörter
- Humans
- Illusions
- Motion Perception
- Motion
- Sprache
- eng
- Medium
- Print-Electronic
- Online publication date
- 2023
- Open access status
- Open Access
- Paginierung
- 2292 - 2310
- Datum der Veröffentlichung
- 2024
- Status
- Published
- Publisher licence
- CC BY
- Datum der Datenerfassung
- 2023
- Titel
- Measuring vection: a review and critical evaluation of different methods for quantifying illusory self-motion.
- Sub types
- research-article
- Review
- Journal Article
- Ausgabe der Zeitschrift
- 56
Files
https://link.springer.com/content/pdf/10.3758/s13428-023-02148-8.pdf https://europepmc.org/articles/PMC10991029?pdf=render
Datenquelle: Europe PubMed Central
- Abstract
- The sensation of self-motion in the absence of physical motion, known as vection, has been scientifically investigated for over a century. As objective measures of, or physiological correlates to, vection have yet to emerge, researchers have typically employed a variety of subjective methods to quantify the phenomenon of vection. These measures can be broadly categorized into the occurrence of vection (e.g., binary choice yes/no), temporal characteristics of vection (e.g., onset time/latency, duration), the quality of the vection experience (e.g., intensity rating scales, magnitude estimation), or indirect (e.g., distance travelled) measures. The present review provides an overview and critical evaluation of the most utilized vection measures to date and assesses their respective merit. Furthermore, recommendations for the selection of the most appropriate vection measures will be provided to assist with the process of vection research and to help improve the comparability of research findings across different vection studies.
- Date of acceptance
- 2023
- Autoren
- Lars Kooijman
- Stefan Berti
- Houshyar Asadi
- Saeid Nahavandi
- Behrang Keshavarz
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/37369940
- DOI
- 10.3758/s13428-023-02148-8
- eISSN
- 1554-3528
- Externe Identifier
- PubMed Central ID: PMC10991029
- Funding acknowledgements
- Australian Research Council: DE210101623
- Ausgabe der Veröffentlichung
- 3
- Zeitschrift
- Behav Res Methods
- Schlüsselwörter
- Binary choice
- Chronometric
- Distance travelled
- Magnitude estimation
- Measurement
- Rating scales
- Self-motion
- Two-alternative forced choice
- Humans
- Motion Perception
- Illusions
- Motion
- Sprache
- eng
- Country
- United States
- Paginierung
- 2292 - 2310
- PII
- 10.3758/s13428-023-02148-8
- Datum der Veröffentlichung
- 2024
- Status
- Published
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2024
- Titel
- Measuring vection: a review and critical evaluation of different methods for quantifying illusory self-motion.
- Sub types
- Review
- Journal Article
- Ausgabe der Zeitschrift
- 56
Datenquelle: PubMed
- Beziehungen:
- Eigentum von