DC FieldValueLanguage
dc.contributor.authorFricke, Kai-
dc.contributor.authorGreenberg, David M.-
dc.contributor.authorRentfrow, Peter J.-
dc.contributor.authorHerzberg, Philipp Yorck-
dc.date.accessioned2020-02-25T10:23:55Z-
dc.date.available2020-02-25T10:23:55Z-
dc.date.issued2018-
dc.identifier.citationEnthalten in: Measuring individual music feature preference from self-report, audio-based assessment, and actual listening behavior / Fricke, Kai. - Hamburg, 2018 . - 2018, Seite 65-74-
dc.description.sponsorshipPersönlichkeitspsychologie und Psychologische Diagnostik-
dc.language.isoeng-
dc.titleArticle 2: Computer-based music feature analysis mirrors human perception and can be used to measure music preference-
dc.typeBook Part-
dcterms.bibliographicCitation.pagestart65-
dcterms.bibliographicCitation.pageend74-
dcterms.bibliographicCitation.originalpublisherplaceHamburg-
dcterms.bibliographicCitation.booktitleMeasuring individual music feature preference from self-report, audio-based assessment, and actual listening behavior-
local.submission.typeonly-metadata-
hsu.opac.importopac-2018-
hsu.identifier.ppn1042426090-
item.grantfulltextnone-
item.openairetypeBook Part-
item.languageiso639-1en-
item.fulltext_sNo Fulltext-
item.fulltextNo Fulltext-
crisitem.author.deptPersönlichkeitspsychologie und Psychologische Diagnostik-
crisitem.author.orcid0000-0003-1662-7564-
crisitem.author.parentorgFakultät für Geistes- und Sozialwissenschaften-
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