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A master's thesis from Aalborg University
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Tell Me What You See, an investigation on Visual Mental Imagery evoked by instrumental music

Author

Term

4. Term

Publication year

2019

Abstract

Visuel mental forestilling (VMI) betyder at man 'ser' noget for sig uden et ydre sanseindtryk. Denne afhandling undersøger, om instrumentalmusik kan fremkalde VMI, og om lydlige elementer i musikken kan kobles til visuelle træk i disse forestillinger. Vi gennemførte en onlineundersøgelse med en lyttetest: hver deltager hørte én af fire sange (to egenproducerede og to kommercielle) og besvarede spørgsmål. Deltagerne angav, om de oplevede VMI, beskrev deres billeder og valgte beskrivelser fra en liste. 72,6% af 135 deltagere rapporterede VMI (chi2 = 27,6; df = 1; p<0,002), hvilket tyder på, at fundet næppe skyldes tilfældigheder. Resultaterne viser, at instrumentalmusik kan fremkalde VMI med varierende grad af livagtighed. Beskrivelserne og valgopgaven viste også, at når lydlige elementer fra to forskellige sange blandes til en tredje sang, rummer de fremkaldte billeder visuelle elementer fra begge de oprindelige sange.

Visual mental imagery (VMI) means 'seeing' in the mind without an external sensory stimulus. This thesis investigates whether instrumental music can trigger VMI and whether parts of the sound can be linked to features of the images people report. We ran an online survey with a listening test: each person heard one of four songs (two we created and two commercial recordings) and then answered questions. Participants said whether they experienced VMI, described it, and selected descriptors from a list. Overall, 72.6% of 135 participants reported VMI (chi-square = 27.6; df = 1; p<0.002), suggesting the effect was unlikely to be due to chance. The results show that instrumental music can elicit VMI with different levels of vividness. The descriptions and the element-selection task also showed that when sound elements from two different songs were mixed into a third song, the associated imagery included visual elements from both original songs.

[This abstract was generated with the help of AI]