Show simple item record

dc.contributor.authorWilliams, D
dc.contributor.authorKirke, Alexis
dc.contributor.authorMiranda, Eduardo
dc.contributor.authorDaly, I
dc.contributor.authorHallowell, J
dc.contributor.authorWeaver, J
dc.contributor.authorMalik, A
dc.contributor.authorRoesch, E
dc.contributor.authorHwang, F
dc.contributor.authorNasuto, S
dc.date.accessioned2015-10-01T15:46:57Z
dc.date.available2015-10-01T15:46:57Z
dc.date.issued2015-07-28
dc.identifier.issn1544-3558
dc.identifier.issn1544-3965
dc.identifier.otherARTN 8
dc.identifier.urihttp://hdl.handle.net/10026.1/3562
dc.description.abstract

<jats:p>Affective algorithmic composition is a growing field that combines perceptually motivated affective computing strategies with novel music generation. This article presents work toward the development of one application. The long-term goal is to develop a responsive and adaptive system for inducing affect that is both controlled and validated by biophysical measures. Literature documenting perceptual responses to music identifies a variety of musical features and possible affective correlations, but perceptual evaluations of these musical features for the purposes of inclusion in a music generation system are not readily available. A discrete feature, rhythmic density (a function of note duration in each musical bar, regardless of tempo), was selected because it was shown to be well-correlated with affective responses in existing literature. A prototype system was then designed to produce controlled degrees of variation in rhythmic density via a transformative algorithm. A two-stage perceptual evaluation of a stimulus set created by this prototype was then undertaken. First, listener responses from a pairwise scaling experiment were analyzed via Multidimensional Scaling Analysis (MDS). The statistical best-fit solution was rotated such that stimuli with the largest range of variation were placed across the horizontal plane in two dimensions. In this orientation, stimuli with deliberate variation in rhythmic density appeared farther from the source material used to generate them than from stimuli generated by random permutation. Second, the same stimulus set was then evaluated according to the order suggested in the rotated two-dimensional solution in a verbal elicitation experiment. A Verbal Protocol Analysis (VPA) found that listener perception of the stimulus set varied in at least two commonly understood emotional descriptors, which might be considered affective correlates of rhythmic density. Thus, these results further corroborate previous studies wherein musical parameters are monitored for changes in emotional expression and that some similarly parameterized control of perceived emotional content in an affective algorithmic composition system can be achieved and provide a methodology for evaluating and including further possible musical features in such a system. Some suggestions regarding the test procedure and analysis techniques are also documented here.</jats:p>

dc.format.extent1-21
dc.languageen
dc.language.isoen
dc.publisherAssociation for Computing Machinery (ACM)
dc.subjectHuman Factors
dc.subjectAlgorithmic composition
dc.subjectaffect
dc.subjectmusic perception
dc.subjectrhythm
dc.titleInvestigating Perceived Emotional Correlates of Rhythmic Density in Algorithmic Music Composition
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000360006600002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue3
plymouth.volume12
plymouth.publication-statusPublished
plymouth.journalACM Transactions on Applied Perception
dc.identifier.doi10.1145/2749466
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business/School of Society and Culture
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA33 Music, Drama, Dance, Performing Arts, Film and Screen Studies
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.identifier.eissn1544-3965
dc.rights.embargoperiodNot known
rioxxterms.funderEngineering and Physical Sciences Research Council
rioxxterms.identifier.projectBrain-Computer Interface for Monitoring and Inducing Affective States
rioxxterms.versionofrecord10.1145/2749466
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review
plymouth.funderBrain-Computer Interface for Monitoring and Inducing Affective States::Engineering and Physical Sciences Research Council
plymouth.oa-locationhttp://dl.acm.org/citation.cfm?id=2749466


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record


All items in PEARL are protected by copyright law.
Author manuscripts deposited to comply with open access mandates are made available in accordance with publisher policies. Please cite only the published version using the details provided on the item record or document. In the absence of an open licence (e.g. Creative Commons), permissions for further reuse of content should be sought from the publisher or author.
Theme by 
Atmire NV