2017
DOI: 10.1037/aca0000090
|View full text |Cite
|
Sign up to set email alerts
|

Dissecting an earworm: Melodic features and song popularity predict involuntary musical imagery.

Abstract: Citation for published item:tkuowskiD uF nd pinkelD F nd tewrtD vF nd w¤ ullensiefenD hF @PHITA 9hisseting n erworm X melodi fetures nd song populrity predit involuntry musil imgeryF9D syhology of esthetisD retivityD nd the rtsFD Q F Further information on publisher's website: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

3
70
2
2

Year Published

2018
2018
2024
2024

Publication Types

Select...
6
3

Relationship

2
7

Authors

Journals

citations
Cited by 56 publications
(77 citation statements)
references
References 46 publications
(70 reference statements)
3
70
2
2
Order By: Relevance
“…Most INMI research to date has emphasized the idiosyncratic nature of the experience, as evidenced by the fact that in naturalistic approaches, such as diary studies, most participants report an entirely different set of music as INMI in comparison with other participants. However, large-scale survey approaches can reveal commonalities between INMI tunes reported by multiple participants (Jakubowski et al, 2017), which aligns with the longstanding everyday notion-which has more recently appeared in the music psychological discourse (see, e.g., Burgoyne, Bountouridis, van Balen, & Honing, 2013)-that certain pieces of music are inherently "catchier" than others. Although research to date has revealed some melodic features that appear to increase the likelihood that a tune will become INMI, in addition to broader features such as the presence of lyrics and common focus around the chorus, there is still much work to be done in this area.…”
Section: Musical Features Of Inmi: Discussionsupporting
confidence: 71%
“…Most INMI research to date has emphasized the idiosyncratic nature of the experience, as evidenced by the fact that in naturalistic approaches, such as diary studies, most participants report an entirely different set of music as INMI in comparison with other participants. However, large-scale survey approaches can reveal commonalities between INMI tunes reported by multiple participants (Jakubowski et al, 2017), which aligns with the longstanding everyday notion-which has more recently appeared in the music psychological discourse (see, e.g., Burgoyne, Bountouridis, van Balen, & Honing, 2013)-that certain pieces of music are inherently "catchier" than others. Although research to date has revealed some melodic features that appear to increase the likelihood that a tune will become INMI, in addition to broader features such as the presence of lyrics and common focus around the chorus, there is still much work to be done in this area.…”
Section: Musical Features Of Inmi: Discussionsupporting
confidence: 71%
“…It is also generally valuable for educational songs to be concise (as seen at https://www.CAUSEweb.org/smiles/songs, half the songs are under 90 sec) and memorable (consistent with the work of Jakubowski et al 2017). For an example of the latter, two of the project songs use a melody ("Twinkle, Twinkle, Little Star") specifically described by Senthilingam (2016) as highly memorable because of its rhythmic pattern and simple musical contour.…”
Section: Addressing Challengesmentioning
confidence: 63%
“…The type of involuntary musical memory that we focused on in this work was involuntary musical imagery (INMI, or “earworms”)—the spontaneous recall and repetition of a piece of music within the mind. Previous research on INMI has focused on such topics as identifying common triggers of INMI episodes and the contexts in which INMI is most likely to occur (Floridou, Williamson, & Stewart, 2017 ; Hyman et al, 2013 ; Williamson et al, 2012 ), individual differences in personality, musical background, and cognitive styles that predict INMI frequency and reactions to INMI (Beaman & Williams, 2013 ; Beaty et al, 2013 ; Liikkanen, 2012 ; Müllensiefen et al, 2014 ), strategies for alleviating unwanted INMI (Beaman & Williams, 2010 ; Williamson, Liikkanen, Jakubowski, & Stewart, 2014 ), and commonalities between musical features of frequently-reported INMI tunes (Jakubowski, Finkel, Stewart, & Müllensiefen, 2017 ). Some parallels to IAMs have also been revealed.…”
Section: Involuntary and Voluntary Musical Memoriesmentioning
confidence: 99%