The Affect of Altered Popular Music
on Music-evoked Autobiographical Memory
SMPC 2024 Poster Presentation Supplementary Information Page
email: elisabethroberts92@gmail.com
phone: 5184218616
Abstract
Research on music-evoked autobiographical memories (MEAMs) has usually centered on recorded popular music (Belfi et al., 2016; Janata et al., 2007; Schulkind et al., 1999). The detailed recollections and robust, positive emotional reactions triggered by hearing salient recorded songs might partially relate to the exact reproducibility afforded by recording technology (Janata et al., 2007; Istvandity, 2019). Musically trained and untrained individuals also tend to retain absolute memory for constituents of recorded music, such as pitch (Schellenburg & Trehub, 2003) and tempo (Levitin & Cook, 1996). Contemporary listeners, however, are often exposed to remixes of familiar music that alter these features (Navas, 2012). The present study explores how absolute memory, in this case for tempo, interacts with MEAMs evoked by remixed songs.
Eighty-five participants—divided into one control and two experimental groups— listened to popular songs and responded to questions about the affective experiences they elicited. The control group heard unaltered songs from the Billboard Top-100 (as in Janata et al., 2007), while experimental groups heard the same stimuli played 40% slower or faster. Participants were asked about the emotions they felt while listening to these stimuli, how familiar they were with them, what memories (if any) were evoked, and when they occurred. Data collection is ongoing, and preliminary results across measurements suggest that altering tempo may not significantly affect the content or emotional valence of MEAMs. We also hypothesized that the unexpected tempo might delay memory retrieval. Instead, response time tended to significantly decrease as tempo increased (p < .001). This finding could suggest that cueing is more indebted to recognizing the structural sequence of a familiar song than it is to absolute memory.
These results may help clarify the relationship between listening culture, technology, and MEAMs. They might inform musicological studies about popular music, remix culture, and recording technology, as well as provide considerations for therapeutic interventions that use recorded popular music.
Introduction
As a researcher with a background in music performance and composition, I am often asking how the constraints of technology dictate how music is made and heard, and how these parameters influence the way music comes to refer to nonmusical memories. The present study considers the potential for remixes of familiar popular songs to manipulate parameters of music-evoked autobiographical memory, as such music has rapidly populated the sonic landscape. As popular music recordings can be integrated into music therapies in vulnerable populations, it is valuable to consider how dependent MEAMs are on the cue being not just the right song, but right version of the song.
There is a modest but growing body of work that has established a connection between recorded popular music and autobiographical memory (Befli et al., 2016; Cay et al., 2008; Jakubowski and Ghosh, 2021; Janata et al, 2007) . Researchers have interpreted this relationship to be possibly enhanced by the availability of recordings in everyday life, but also the the fact that they can be replicated exactly when they are replayed. As the human memory process benefits from repeated rememberings and external cues, the capacity to remember the same way with the same cue could reasonably explain how recorded music cues work so well.
We do know that recordings condition memory for music in that individuals in the general population tend to have an absolute memory for things like pitch and tempo associated with familiar recordings; people notice when something sounds unexpected (Levitin & Cook, 1996; Schellenberg & Trehub, 2003; Van Hedger et al., 2016).
Consequently, listeners might also be distracted by unexpected versions of familiar songs and not experience music-evoked memories as vividly or positively as studies have shown that they typically do.
The question that guides my research here is if the development of absolute memory for aspects of recordings interacts with companion autobiographical memory processes. In particular, I ask whether changing playback tempo of pop music audio influences the cueing capacity of that song.
Based on the research cited above, as well as the responses I received conducting qualitative interviews about encounters with remixes of favorite songs, I hypothesized that exposure to an altered version of a familiar music cue would be somewhat distracting --although it would still be able to produce autobiographical memories, I expected the retrieval to take longer and the memory to be less positive than ones produced with expected versions.
Additional Results
Poster result statistics
Meam Capacity:
Ratio (ANOVA)- (F(2,82)=.472, p=.625, ηp2 =0.011)
Word Count (ANOVA)- [one outlier excluded] -(F(2, 81) = 1.078, p=.43, ηp2 = .026)
Vividness (Kruskal Wallis used for abnormally distributed data)- H[2] = 0.302, p=.860, η2=.0035
MEAM Emotions:
Comparison charts showing consistency between current data and original (Janata et al. 2007)
(enlarge/zoom as needed!)
Participants could also type their own emotions if they were not on the list. These were also consistent with Janata et al. data (A. shows Janata et al. data, B. shows data from current project)
Response Time:
In seconds Main Effect (One-way ANOVA) - (F(2, 82) = 22.05, p <.001), ηp2 = .370
Post Hoc testing -
Other results (not shown on poster)
Intensity of MEAM-associated emotions felt at present unaffected by alterations
Main effect (One-way ANOVA) F(2,82) =0.256, p=.775, ηp2 =.006
Decreased musical pleasure ratings of stimuli in slow group correlated with musical experience, suggesting more complex interactions between alterations and other factors
Main effect (One-way ANOVA) - (F(2,82) = 0.061, p=.941, ηp2 =.001)
No difference in musical pleasure ratings strictly based on group.
Test of linear correlation to see if ratings changed over time (i.e. did participants in experimental groups initially dislike, but later acclimate to, altered tempo?) Significant decrease in control group only, similar trend in all groups (probably related to decreasing affect as shown below)
Zoom as needed!
Test of linear correlation between amount of musical performance experience (years indicated) and average valence ratings (i.e. Do participants with more musical training dislike hearing the altered audio more than those who have less?) Significant in slow group only.
Musical Experience
(years)
General affect (both positive and negative Positive Affect Negative Affect Schedule) decreased after procedure in all groups; no sig. difference in negative change, positive change less prominent as tempo increased
(Positive and negative affect items were scored based on likert responses to items associated with positive or negative affect. The pre-trial score for each was subtracted from the post-trial score from each to show the amount of change in both, where 0 = no change and negative scores = decrease)
Positive Affect Main Effect (One-way Anova):(F(2)= 3.651, p=.03, ηp2 =.082)
Negative Affect (Kruskal Wallis - for abnormally distributed data): H[2] = 0.067, p=.967, η2=.00008
Average familiarity with songs was not affected by whether or not participants heard altered-tempo versions.
No group differences in average familiarity rating by group. (Kruskal Wallis test, abrnomally distributed data) - H[2] 0.438, p=.803, η2=.005
Not affected by trial number (i.e. participants were not initially rating altered audio as less familiar and acclimating to it over trials)
zoom in as needed!
References
Bartlett, J. C., & Snelus, P. (1980). Lifespan Memory for Popular Songs. The American Journal of Psychology, 93(3), 551. https://doi.org/10.2307/1422730
Belfi, A. M., Karlan, B., & Tranel, D. (2016). Music evokes vivid autobiographical memories. Memory, 24(7), 979–989. https://doi.org/10.1080/09658211.2015.1061012
Cady, E. T., Harris, R. J., & Knappenberger, J. B. (2008). Using music to cue autobiographical memories of different lifetime periods. Psychology of Music, 36(2), 157–177. https://doi.org/10.1177/0305735607085010
Eqbal, A. (2023, March 21). The Chipmunk-ification of Music: Why Sped-up Songs are Everywhere Right Now. CBC Arts. https://www.cbc.ca/arts/commotion/the-chipmunk-ification-of-music-why-sped-up-songs-are-everywhere-right-now-1.6786147
Ford, J. H., Rubin, D. C., & Giovanello, K. S. (2016). The effects of song familiarity and age on phenomenological characteristics and neural recruitment during autobiographical memory retrieval. Psychomusicology, 26(3), 199–210. https://doi.org/10.1037/pmu0000152
Foster, N. A., & Valentine, E. R. (2001). The Effect of Auditory Stimulation on Autobiographical Recall in Dementia. Experimental Aging Research, 27(3), 215–228. https://doi.org/10.1080/036107301300208664
Jakubowski, K., Belfi, A. M., & Eerola, T. (2021). Phenomenological Differences in Music- and Television-Evoked Autobiographical Memories. Music Perception, 38(5), 435–455. https://doi.org/10.1525/mp.2021.38.5.435
Jakubowski, K., & Ghosh, A. (2021). Music-evoked autobiographical memories in everyday life. Psychology of Music, 49(3), 649–666. https://doi.org/10.1177/0305735619888803
Janata, P. (2009). The Neural Architecture of Music-Evoked Autobiographical Memories. Cerebral Cortex, 19(11), 2579–2594. https://doi.org/10.1093/cercor/bhp008
Janata, P., Tomic, S. T., & Rakowski, S. K. (2007). Characterisation of music-evoked autobiographical memories. Memory, 15(8), 845–860. https://doi.org/10.1080/09658210701734593
Leight, Elias. (2023, March 15). Sped-Up Songs Are Shaking Up the Music Industry. Could They Replace Originals? Billboard Pro. https://www.billboard.com/pro/could-sped-up-songs-replace-originals/#!
Levitin, D. J., & Cook, P. R. (1996). Memory for musical tempo: Additional evidence that auditory memory is absolute. Perception & Psychophysics, 58(6), 927–935. https://doi.org/10.3758/BF03205494
Michels-Ratliff, E., & Ennis, M. (2016). This is your song: Using participants’ music selections to evoke nostalgia and autobiographical memories efficiently. Psychomusicology: Music, Mind, and Brain, 26(4), 379–384. https://doi.org/10.1037/pmu0000167
Mullen, Matt. (2023, January 25). Why Are Artists Releasing Sped-up Versions of Their Songs? Music Radar. https://www.musicradar.com/news/sped-up-songs
Rubin, D. C. (1977). Very long-term memory for prose and verse. Journal of Verbal Learning and Verbal Behavior, 16(5), 611–621. https://doi.org/10.1016/S0022-5371(77)80023-6
Schellenberg, E. G., & Trehub, S. E. (2003). Good Pitch Memory Is Widespread. Psychological Science, 14(3), 262–266. https://doi.org/10.1111/1467-9280.03432
Van Hedger, S. C., Heald, S. L. M., & Nusbaum, H. C. (2016). What the [bleep]? Enhanced absolute pitch memory for a 1000 Hz sine tone. Cognition, 154, 139–150. https://doi.org/10.1016/j.cognition.2016.06.001