Mood Management via the Digital Jukebox

Bibliographic Data

ID22693708
AuthorsSimon Knobloch (0000-0002-8697-6236, corresponding author)
Year2002
Volume52
Issue2
Pages351-366
Publication date2002-06-01
Open AccessYes
TypeARTICLE
VenueJournal of Communication (JOURNAL)
Journal identifiersISSN: 0021-9916 • E-ISSN: 1460-2466
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/joc/52.2.351
OpenAlexW4232945902
LanguageEN
Citations received2

This study took popular music from the Top 30 charts and, in a pretest, evaluated its energy and joyfulness as musical qualities. The findings were used to create sets of musical selections that were either low or high in these qualities. In the experiment proper, respondents were placed in states of bad, neutral, or good moods and then, in an ostensibly independent study, provided the opportunity to freely choose from the sets of musical selections. The selections were offered by computer software that recorded individual exposure times by selection. To ensure selectivity, exposure time was limited to about one third of the total running time of all available selections. Consistent with predictions from mood-management theory, respondents in bad moods elected to listen to highly energetic-joyful music for longer periods than did respondents in good moods. Respondents in bad moods, moreover, were more decisive in exercising their musical preferences. Following the listening period, respondents' moods did not appreciably differ across the experimental mood conditions.

Active listening · Advertising · Aesthetics · Affect (linguistics) · Art · Cognitive psychology · Energy (signal processing) · Mood · Musical · Period (music) · Selection (genetic algorithm) · Statistics · Visual arts · Applied Psychology · Artificial Intelligence · Communication · Computer Science · Diverse Music Education Insights · Mathematics · Music Technology and Sound Studies · Neuroscience and Music Perception · Psychology · Social Psychology

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