How Songwriting Can Shape Imaginative Experiences: A Critical Reflection
Birds flying
HTML
PDF

Supplementary Files

Media demonstrating results

Keywords

Affective cues in music
Csikszentmihalyi’s Systems Model of Creativity
Interdisciplinary creativity
Music and imagination
Musical interpretation
Songwriting

Abstract

Songs are a unique medium that can guide listeners through powerful, imaginative experiences. Songwriters, however, rarely know how to approach this capacity with intentionality, as the techniques they might use are often hidden within other disciplines, such as psychology. This project thus investigates how interdisciplinary techniques, which integrate knowledge from music theory all the way to cognitive science, can be deliberately employed to shape listeners’ imaginative responses to songs. 

Through a unified yet undulating original song about a long-distance relationship, I thus explore how songwriters' choices can serve as affective cues that guide the audience’s imaginative interpretation of the song. In crafting and reflecting on the song, I draw on Csikszentmihalyi's Systems Model of Creativity to see songwriting as collaborative co-creation: the songwriter (Individual) employs musical elements (Domain) to position listeners (Field) to extract particular imaginative potential. The specific techniques used include harmonic choices such as major 7 chords, evolutionary acoustic signatures such as minor seconds, and cognitive phenomena such as processing fluency.

Critical analysis reveals the effectiveness of this approach but also its limitations, such as the methodology’s lack of regard for the influence of linguistic and cultural factors on the song’s imaginative interpretation. Yet, in its narrow scope, this project exemplifies the benefits of an interdisciplinary approach in understanding and shaping the imaginative experience of a listener, so that songwriters may be more purposeful in their craft, and more conscious of their art’s potential. 

HTML
PDF
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2026 Matteo Ponzano