Evidence map›Paper›PMID 37369940›Full record

ReviewBehavior research methods2024

Measuring vection: a review and critical evaluation of different methods for quantifying illusory self-motion.

Lars Kooijman, Stefan Berti, Houshyar Asadi, Saeid Nahavandi, Behrang Keshavarz

Abstract readReview
In one paragraph

Review in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lars KooijmanInstitute for Intelligent Systems Research and Innovation, Deakin University, Geelong, Victoria, Australia. kooijman.l@outlook.com.ORCID 0000-0002-0902-5752
Stefan BertiInstitute of Psychology, Johannes Gutenberg-University Mainz, Mainz, Germany.ORCID 0000-0002-8409-1469
Houshyar AsadiInstitute for Intelligent Systems Research and Innovation, Deakin University, Geelong, Victoria, Australia.ORCID 0000-0002-3620-8693
Saeid NahavandiInstitute for Intelligent Systems Research and Innovation, Deakin University, Geelong, Victoria, Australia.ORCID 0000-0002-0360-5270
Behrang KeshavarzDepartment of Psychology, Toronto Metropolitan University, Toronto, Ontario, Canada.ORCID 0000-0002-7763-5325

Funding

Australian Research Council DE210101623
6 · The paper itself

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.

Indexed as

IllusionsMotion PerceptionHumansMotionBinary choiceChronometricDistance travelledMagnitude estimationMeasurementRating scalesSelf-motionTwo-alternative forced choice

Identifiers

PMID37369940
PMCPMC10991029

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.