The link between musical structure and evoked visual mental imagery (VMI), that is, seeing in the absence of a corresponding sensory stimulus, has yet to be thoroughly investigated. We explored this link by manipulating the characteristics of four pieces of music for synthesizer, guitars, and percussion (songs). Two original songs were selected on the basis of a pilot study, and two were new, specially composed to combine the musical and acoustical characteristics of the originals. A total of 135 participants were randomly assigned to one of the four groups who listened to one song each; 73% of participants reported experiencing VMI. There were similarities between participants’ descriptions of the mental imagery evoked by each song and clear differences between them. A combination of coding and content analysis produced 10 categories: Nature, Places and settings, Objects, Time, Movements and events, Color(s), Humans, Affects, Literal sound, and Film. Regardless of whether or not they had reported experiencing VMI, participants then carried out a card-sorting task in which they selected the terms they thought best described a scene or setting appropriate to the music they had heard and rated emotional dimensions. The results confirmed those of the content analysis. Taken together, participants’ ratings, descriptions of VMI, and selection of terms in the card-sorting task confirmed that new songs combining the characteristics of original songs evoke the elements of VMI associated with the latter. The findings are important for the understanding of the musical and acoustical characteristics that may influence our experiences of music, including VMI.
BelfiA. M. (2019). Emotional valence and vividness of imagery predict aesthetic appeal in music. Psychomusicology: Music, Mind, and Brain, 29(2–3), 128–135. https://doi.org/10.1037/pmu0000232
2.
BenedekJ.MinerT. (2002). Measuring desirability: New methods for evaluating desirability in a usability lab setting. Proceedings of Usability Professionals Association, 2003(8–12), 57.
3.
BjørnerT. (2015). Data analysis and findings. In BjørnerT. (Ed.), Qualitative methods for consumer research: The value of the qualitative approach in theory and practice (pp. 97–106). Hans Reitzel.
BonnyH. L.SavaryL. M. (1973). Music and your mind: Listening with a new consciousness. Harper & Row.
6.
Brøvig-HanssenR.SandvikB.Aareskjold-DreckerJ. M.DanielsenA. (2022). A grid in flux: Sound and timing in Electronic Dance Music. Music Theory Spectrum, 44(1), 1–16. https://doi.org/10.1093/mts/mtab013
7.
BullerjahnC.GuldenringM. (1994). An empirical investigation of effects of film music using qualitative content analysis. Psychomusicology: A Journal of Research in Music Cognition, 13(12), 99–118. https://doi.org/10.1037/h0094100
8.
ChristoffK.IrvingZ. C.FoxK. C. R.SprengR. N.Andrews-HannaJ. R. (2016). Mind-wandering as spontaneous thought: A dynamic framework. Nature Reviews Neuroscience, 17(11), 718–731. https://doi.org/10.1038/nrn.2016.113
9.
CohenA. J. (2001). Music as a source of emotion in film. In JuslinP. N.SlobodaJ. (Eds.), Music and emotion: Theory, research, applications (pp. 878–908). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199230143.003.0031
10.
DavisM. H. (1983). Measuring individual differences in empathy: Evidence for a multidimensional approach. Journal of Personality and Social Psychology, 44(1), 113–126. https://doi.org/10.1037/0022-3514.44.1.113
11.
DayR. A.ThompsonW. F. (2019). Measuring the onset of experiences of emotion and imagery in response to music. Psychomusicology: Music, Mind, and Brain, 29(2–3), 75–89.
12.
DunnT. J.BaguleyT.BrunsdenV. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105(3), 399–412.
13.
EnoB. (1983). Apollo: Atmospheres and soundtracks [Album]. EG.
14.
GodøyR. I. (2003). Motor-mimetic music cognition. Leonardo, 36(4), 317–319.
GodøyR. I.LemanM. (2010). Musical gestures: Sound, movement, and meaning. Routledge.
17.
GrockeD.MoeT. (Eds.). (2015a). Guided imagery & music (GIM) and music imagery methods for individual and group therapy. Jessica Kingsley Publishers.
18.
GrockeD.MoeT. (2015b). Introduction. In GrockeD.MoeT. (Eds.), Guided imagery & music (GIM) and music imagery methods for individual and group therapy (pp. 19–30). Jessica Kingsley Publishers.
19.
GroutD. J.PaliscaC. V. (2001). A history of western music (6th ed.). W.W. Norton.
20.
HashimS.KüssnerM. B.StewartL.OmigieD. (2021). Evaluating the consistency and thematic content of music-induced visual mental imagery. In The 16th International Conference on Music Perception and Cognition jointly with the 11th triennial conference of ESCOM. https://sites.google.com/sheffield.ac.uk/escom2021/program-abstract-and-video
21.
HashimS.StewartL.KüssnerM. B. (2020). Saccadic eye-movements suppress visual mental imagery and partly reduce emotional response during music listening. Music & Science, 3, 2059204320959580. https://doi.org/10.1177/2059204320959580
22.
HerbertR.DibbenN. (2018). Making sense of music: Meanings 10- to 18-year-olds attach to experimenter-selected musical materials. Psychology of Music, 46(3), 375–391. https://doi.org/10.1177/0305735617713118
23.
HerffS. A.CecchettiG.TaruffiL.DéguernelK. (2021). Music influences vividness and content of imagined journeys in a directed visual imagery task. Scientific Reports, 11(1), 1–12. https://doi.org/10.1038/s41598-021-95260-8
24.
Iosonouncane (2015). Die [Album]. Trovarobato.
25.
JuslinP. N. (2013). From everyday emotions to aesthetic emotions: Towards a unified theory of musical emotions. Physics of Life Reviews, 10(3), 235–266. https://doi.org/10.1016/j.plrev.2013.05.008
26.
JuslinP. N.LiljeströmS.VästfjällD.BarradasG.SilvaA. (2008). An experience sampling study of emotional reactions to music: Listener, music, and situation. Emotion, 8(5), 668–683. https://doi.org/10.1037/a0013505
27.
JuslinP. N.SlobodaJ. A. (2001). Music and emotion. Oxford University Press.
28.
JuslinP. N.VästfjällD. (2008). Emotional responses to music: The need to consider underlying mechanisms. Behavioral and Brain Sciences, 31(5), 559–575. https://doi.org/10.1017/s0140525x08005293
29.
KahnemanD.DienerE.SchwarzN. (1999). Well-being: The foundations of hedonic psychology. Russell Sage Foundation.
30.
KamalzadehM.BaurD.MollerT. (2012). A survey on music listening and management behaviours. In International Society for Music Information Retrieval Conference (ISMIR) (pp. 373–378). International Society for Music Information Retrieval.
31.
KellyG. A. (1955). The psychology of personal constructs: Vol. 1. A theory of personality. W.W. Norton.
32.
KoelschS.BashevkinT.KristensenJ.TvedtJ.JentschkeS. (2019). Heroic music stimulates empowering thoughts during mind-wandering. Scientific Reports, 9, 1–10. https://doi.org/10.1038/s41598-019-46266-w
33.
KosslynS. M.GanisG.ThompsonW. L. (2001). Neural foundations of imagery. Nature Reviews Neuroscience, 2(9), 635–642.
34.
KosslynS. M.GanisG.ThompsonW. L. (2010). Multimodal images in the brain. In GuillotA.ColletC. (Eds.), The neurophysiological foundations of mental and motor imagery (pp. 3–16). Oxford University Press.
35.
KüssnerM. B.EerolaT. (2019). The content and functions of vivid.. and soothing visual imagery during music listening: Findings from a survey study. Psychomusicology: Music, Mind, and Brain, 29(2–3), 90–99. https://doi.org/10.1037/pmu0000238
36.
LahdelmaI.EerolaT. (2016). Single chords convey distinct emotional qualities to both naive and expert listeners. Psychology of Music, 44(1), 37–54. https://doi.org/10.1177/0305735614552006
LemanM. (2008). Embodied music cognition and mediation technology. MIT Press.
39.
LemanM.MaesP.-J.NijsL.Van DyckE. (2018). What is embodied music cognition? In BaderR. (Ed.), Springer handbook of systematic musicology (pp. 747–760). Springer. https://doi.org/10.1007/978-3-662-55004-5_34
40.
MailletD.BeatyR. E.JordanoM. L.TouronD. R.AdnanA.SilviaP. J.KwapilT. R.TurnerG. R. (2018). Age-related differences in mind-wandering in daily life. Psychology and Aging, 33(4), 643–653. https://doi.org/10.1037/pag0000260
41.
MarkertN.KüssnerM. B. (2021, November3–5). An exploratory study of visual mental imagery induced by ambient music. In StupacherJ.HagnerS. (Eds.), Proceedings of the 14th International Conference of Students of Systematic Musicology (SysMus21), 57–58. Center for Music in the Brain, Aarhus University. https://doi.org/10.17605/OSF.IO/HG6RZ
42.
MartarelliC. S.MayerB.MastF. W. (2016). Daydreams and trait affect: The role of the listener’s state of mind in the emotional response to music. Consciousness and Cognition, 46, 27–35. https://doi.org/10.1016/j.concog.2016.09.014
43.
McKinneyC. H.AntoniM. H.KumarM.TimsF. C.McCabeP. M. (1997). Effects of guided imagery and music (GIM) therapy on mood and cortisol in healthy adults. Health Psychology, 16(4), 390–400. https://doi.org/10.1037/0278-6133.16.4.390
44.
MüllensiefenD.GingrasB.MusilJ.StewartL. (2014). The musicality of non-musicians: An index for assessing musical sophistication in the general population. PLOS ONE, 9(2), Article e89642.
45.
OsborneJ. W. (1981). The mapping of thoughts, emotions, sensations, and images as responses to music. Journal of Mental Imagery, 5(1), 133–136.
46.
PearsonJ. (2019). The human imagination: The cognitive neuroscience of visual mental imagery. Nature Reviews. Neuroscience, 20(10), 624–634. https://doi.org/10.1038/s41583-019-0202-9
47.
PearsonJ.NaselarisT.HolmesE. A.KosslynS. M. (2015). Mental imagery: Functional mechanisms and clinical applications. Trends in Cognitive Sciences, 19(10), 590–602. https://doi.org/10.1016/j.tics.2015.08.003
48.
PresicceG.BailesF. (2019). Engagement and visual imagery in music listening: An exploratory study. Psychomusicology: Music, Mind, and Brain, 29(2–3), 136–155. https://doi.org/10.1037/pmu0000243
49.
QuittnerA. (1983). The facilitative effects of music on visual imagery: A multiple measures approach. Journal of Mental Imagery, 7(1), 105–120.
50.
R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing.
RuggG.McGeorgeP. (1997). The sorting techniques: A tutorial paper on card sorts, picture sorts and item sorts. Expert Systems, 14(2), 80–93. https://doi.org/10.1111/1468-0394.00045
54.
SchaerlaekenS.GlowinskiD.RappazM.-A.GrandjeanD. (2019). “hearing music as. . .”: Metaphors evoked by the sound of classical music. Psychomusicology: Music, Mind, and Brain, 29, 100–116.
55.
SchererK. R.ZentnerM. R. (2001). Emotional effects of music: Production rules. Oxford University Press.
56.
SchneiderA.GodøyR. I. (2001). Perspectives and challenges of musical imagery. In GodøyR. I.JørgensenH. (Eds.), Musical imagery (pp. 5–26). Swets & Zeitlinger.
57.
SharmaS.SasidharanA.MarigowdaV.VijayM.SharmaS.MukundanC. S.PanditL.MasthiN. R. R. (2021). Indian classical music with incremental variation in tempo and octave promotes better anxiety reduction and controlled mind wandering—A randomised controlled EEG study. EXPLORE, 17(2), 115–121. https://doi.org/10.1016/j.explore.2020.02.013
TaruffiL. (2021). Mind-wandering during personal music listening in everyday life: Music-evoked emotions predict thought valence. International Journal of Environmental Research and Public Health, 18(23), 12321. https://doi.org/10.3390/ijerph182312321
60.
TaruffiL.KüssnerM. B. (2019). A review of music-evoked visual.. mental imagery: Conceptual issues, relation to emotion, and functional outcome. Psychomusicology: Music, Mind, and Brain, 29, 62–74. https://doi.org/10.1037/pmu0000226
61.
TaruffiL.PehrsC.SkourasS.KoelschS. (2017). Effects of sad and happy music on mind-wandering and the default mode network. Scientific Reports, 7(1), 1–10. https://doi.org/10.1038/s41598-017-14849-0
Trizano-HermosillaI.AlvaradoJ. M. (2016). Best alternatives to Cronbach’s alpha reliability in realistic conditions: Congeneric and asymmetrical measurements. Frontiers in Psychology, 7, Article 769. https://doi.org/10.3389/fpsyg.2016.00769
64.
U2. (1987) The Joshua Tree [Album]. Island.
65.
VroeghT. (2019). Zoning-in or tuning-in? Identifying distinct absorption states in response to music. Psychomusicology: Music, Mind, and Brain, 29(2–3), 156–170. https://doi.org/10.1037/pmu0000241
66.
VuoskoskiJ. K.EerolaT. (2012). Can sad music really make you sad? Indirect measures of affective states induced by music and autobiographical memories. Psychology of Aesthetics, Creativity, and the Arts, 6(3), 204–213. https://doi.org/10.1037/a0026937
67.
VuoskoskiJ. K.EerolaT. (2015). Extramusical information contributes to emotions induced by music. Psychology of Music, 43(2), 262–274. https://doi.org/10.1177/0305735613502373
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