Abstract
PERSONAL MUSIC LISTENING ON MOBILE PHONES IS rapidly growing as a popular means of everyday engagement with music. This portable and flexible style of listening allows for the immediate selection of music to fulfil emotional needs, presenting it as a powerful resource for emotion regulation. The experience sampling method (ESM) is ideal for observing music listening behavior, as it assesses current subjective experience during natural everyday music episodes. The current study aimed to develop a comprehensive model of personal music listening, and to determine the interaction of variables that produce various emotional outcomes. Data were collected from 195 participants using the MuPsych app: a mobile ESM designed for the realtime and ecologically valid measurement of personal music listening. Multilevel structural equation modelling was utilized to determine predictors of emotional outcomes on both experience and listener levels. Results revealed that music generally returns affect to a neutral state, but this is counteracted through the selection of mood-congruent music. Emotional reasons for listening, along with critical ranges of initial mood, were found to put listeners at risk of potentially undesirable outcomes. Finally, it was revealed that emotional outcomes are determined almost entirely within situations, which emphasizes the importance of accounting for contextual variables in all music and emotion research. This model has provided valuable insight into personal music listening, and the variables that are influential in producing desired emotional outcomes.
| Original language | English |
|---|---|
| Pages (from-to) | 501-514 |
| Number of pages | 14 |
| Journal | Music Perception |
| Volume | 34 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 5 Jun 2017 |
Keywords
- Emotion
- Everyday music listening
- Experience sampling method
- Mobile phone
- Music
Cite this
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Personal music listening : A model of emotional outcomes developed through mobile experience sampling. / Randall, William M.; Rickard, Nikki S.
In: Music Perception, Vol. 34, No. 5, 05.06.2017, p. 501-514.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Personal music listening
T2 - A model of emotional outcomes developed through mobile experience sampling
AU - Randall, William M.
AU - Rickard, Nikki S.
PY - 2017/6/5
Y1 - 2017/6/5
N2 - PERSONAL MUSIC LISTENING ON MOBILE PHONES IS rapidly growing as a popular means of everyday engagement with music. This portable and flexible style of listening allows for the immediate selection of music to fulfil emotional needs, presenting it as a powerful resource for emotion regulation. The experience sampling method (ESM) is ideal for observing music listening behavior, as it assesses current subjective experience during natural everyday music episodes. The current study aimed to develop a comprehensive model of personal music listening, and to determine the interaction of variables that produce various emotional outcomes. Data were collected from 195 participants using the MuPsych app: a mobile ESM designed for the realtime and ecologically valid measurement of personal music listening. Multilevel structural equation modelling was utilized to determine predictors of emotional outcomes on both experience and listener levels. Results revealed that music generally returns affect to a neutral state, but this is counteracted through the selection of mood-congruent music. Emotional reasons for listening, along with critical ranges of initial mood, were found to put listeners at risk of potentially undesirable outcomes. Finally, it was revealed that emotional outcomes are determined almost entirely within situations, which emphasizes the importance of accounting for contextual variables in all music and emotion research. This model has provided valuable insight into personal music listening, and the variables that are influential in producing desired emotional outcomes.
AB - PERSONAL MUSIC LISTENING ON MOBILE PHONES IS rapidly growing as a popular means of everyday engagement with music. This portable and flexible style of listening allows for the immediate selection of music to fulfil emotional needs, presenting it as a powerful resource for emotion regulation. The experience sampling method (ESM) is ideal for observing music listening behavior, as it assesses current subjective experience during natural everyday music episodes. The current study aimed to develop a comprehensive model of personal music listening, and to determine the interaction of variables that produce various emotional outcomes. Data were collected from 195 participants using the MuPsych app: a mobile ESM designed for the realtime and ecologically valid measurement of personal music listening. Multilevel structural equation modelling was utilized to determine predictors of emotional outcomes on both experience and listener levels. Results revealed that music generally returns affect to a neutral state, but this is counteracted through the selection of mood-congruent music. Emotional reasons for listening, along with critical ranges of initial mood, were found to put listeners at risk of potentially undesirable outcomes. Finally, it was revealed that emotional outcomes are determined almost entirely within situations, which emphasizes the importance of accounting for contextual variables in all music and emotion research. This model has provided valuable insight into personal music listening, and the variables that are influential in producing desired emotional outcomes.
KW - Emotion
KW - Everyday music listening
KW - Experience sampling method
KW - Mobile phone
KW - Music
UR - http://www.scopus.com/inward/record.url?scp=85019689259&partnerID=8YFLogxK
U2 - 10.1525/MP.2017.34.5.501
DO - 10.1525/MP.2017.34.5.501
M3 - Article
VL - 34
SP - 501
EP - 514
JO - Music Perception
JF - Music Perception
SN - 0730-7829
IS - 5
ER -