Li, Shen (2016) Investigating the cross-modal relationship between music and motion in an improvised music production context. MMus thesis, University of Sheffield.
Abstract
When responding to music, humans move their bodies with various motional patterns varying in speed, spatial dimensions and continuity. This cross-modal association has been widely examined by motion-induction studies; however, it is less studied in a music-production context. This research examined the transformation from the visualized motion patterns into musical characteristics of performed sounds in a creative production environment. Pianists were required to play expressively on either a single tone or a sequence of musical tones several times after watching different video stimuli. The results revealed that perceived speed in visual stimuli had an impact on performance tempo; walking distance (increasing/decreasing) from the camera influenced performance volume; and movement continuity affected performance articulation. This is consistent with previous findings on music-motion analogies. This research also revealed several potential correspondence patterns: Visualized motional height had an impact on musical articulation (higher/staccato, lower/legato), and motional speed may influence musical loudness (faster/louder, slower/softer). This research implied that expressive performance intention of pianists is associated with specific movement patterns.
Keywords: cross-modal mapping, motion-music association, embodied cognition, musical production, expressive performance.
Metadata
Supervisors: | Timmers, Renee |
---|---|
Awarding institution: | University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Arts and Humanities (Sheffield) > Music (Sheffield) |
Depositing User: | Miss Shen Li |
Date Deposited: | 12 Sep 2016 16:00 |
Last Modified: | 12 Sep 2016 16:00 |
Open Archives Initiative ID (OAI ID): | oai:etheses.whiterose.ac.uk:13498 |
Download
FINAL RIVISED Shen MMUS Thesis 2016.
Filename: FINAL RIVISED Shen MMUS Thesis 2016.docx
Licence:
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 2.5 License
Export
Statistics
You do not need to contact us to get a copy of this thesis. Please use the 'Download' link(s) above to get a copy.
You can contact us about this thesis. If you need to make a general enquiry, please see the Contact us page.