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An efficient and adaptive test of auditory mental imagery

Bibliographic Data

ID21532831
AuthorsRebecca W Gelding (0000-0003-4883-8075, Macquarie University), Peter M C Harrison (0000-0002-9851-9462, Queen Mary University of London), Sebastian Silas (0000-0001-8140-6528, Goldsmiths University of London), Blake W Johnson (0000-0002-0598-4358, Macquarie University), W Fletcher Thompson (0000-0002-4256-1338, Macquarie University), Daniel Müllensiefen (0000-0001-7297-1760, Goldsmiths University of London, corresponding author)
Year2021
Volume85
Issue3
Pages1201-1220
Publication date2021-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePsychological Research (JOURNAL)
Journal identifiersISSN: 0340-0727 • E-ISSN: 1430-2772
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s00426-020-01322-3
PMID32356009
OpenAlexW3021575212
LanguageEN
Citations received2
References cited66

The ability to silently hear music in the mind has been argued to be fundamental to musicality. Objective measurements of this subjective imagery experience are needed if this link between imagery ability and musicality is to be investigated. However, previous tests of musical imagery either rely on self-report, rely on melodic memory, or do not cater in range of abilities. The Pitch Imagery Arrow Task (PIAT) was designed to address these shortcomings; however, it is impractically long. In this paper, we shorten the PIAT using adaptive testing and automatic item generation. We interrogate the cognitive processes underlying the PIAT through item response modelling. The result is an efficient online test of auditory mental imagery ability (adaptive Pitch Imagery Arrow Task: aPIAT) that takes 8 min to complete, is adaptive to participant’s individual ability, and so can be used to test participants with a range of musical backgrounds. Performance on the aPIAT showed positive moderate-to-strong correlations with measures of non-musical and musical working memory, self-reported musical training, and general musical sophistication. Ability on the task was best predicted by the ability to maintain and manipulate tones in mental imagery, as well as to resist perceptual biases that can lead to incorrect responses. As such, the aPIAT is the ideal tool in which to investigate the relationship between pitch imagery ability and musicality

Aesthetics · Auditory imagery · Cognition · Cognitive psychology · Melody · Mental image · Musical · Musicality · Perception · Sophistication · Visual arts · Diverse Music Education Insights · Hearing Loss and Rehabilitation · Neuroscience and Music Perception · Psychology

  • Examining Links Between Music-Induced Physiological Response, Active Engagement with Music, and Musical Competence

    Open Access•Daniel Fiedler, Anne C Frenzel et al.•Music & Science•2026

  • The Associations Between Music Training, Musical Working Memory, and Visuospatial Working Memory

    Sebastian Silas, Daniel Müllensiefen et al.•Music Perception An Interdisciplina…•2022

  • Explanatory Item Response Models

    Open Access•Paul De Boeck, Mark Wilson•Explanatory Item Response Models•2004

  • Working Memory

    Alan Baddeley•Annual Review of Psychology•2012

  • An introduction to recursive partitioning

    Carolin Strobl, James D Malley et al.•Psychological Methods•2009

  • The separability of working memory resources for spatial thinking and language processing

    Priya Shah, Priti Shah et al.•Journal of Experimental…•1996

  • Mental Rotation of Three-Dimensional Objects

    Open Access•Roger N Shepard, Jacqueline Metzler•Science•1971

  • Working memory and the vividness of imagery.

    Alan Baddeley, Alan D Baddeley et al.•Journal of Experimental…•2000

  • Weighted Likelihood Estimation of Ability in Item Response Theory

    Open Access•Thomas A Warm•Psychometrika•1989

  • Random Forests

    Open Access•Leo Breiman•Machine Learning•2001

  • Modelling Melodic Discrimination Tests

    Peter M C Harrison, Jason Jiří Musil et al.•Journal of New Music Research•2016

  • Rhythm and pitch in music cognition

    Carol L Krumhansl•Psychological Bulletin•2000

Unique citing works2
Citations per year0.5
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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