Mapping for meaning: the embodied sonification listening model and its implications for the mapping problem in sonic information design

Stephen Roddy, Brian Bridges

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)
69 Downloads (Pure)

Abstract

This is a theoretical paper that considers the mapping problem, a foundational issue which arises when designing a sonification, as it applies to sonic information design. We argue that this problem can be addressed by using models from the field of embodied cognitive science, including embodied image schema theory, conceptual metaphor theory and conceptual blends, and from research which treats sound and musical structures using these models, when mapping data to sound. However, there are currently very few theoretical frameworks for applying embodied cognition principles in a sonic information design context. This article describes one such framework, the embodied sonification listening model, which provides a theoretical description of sonification listening in terms of conceptual metaphor theory.
Original languageEnglish
Pages (from-to)143-151
Number of pages9
JournalJournal on Multimodal User Interfaces
Volume14
Issue number2
Early online date3 Feb 2020
DOIs
Publication statusPublished - 30 Jun 2020

Bibliographical note

Funding Information:
This publication has been funded by an Irish Research Council Government of Ireland Postdoctoral Fellowship Award (Grant no. 14887). This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) and is co- funded under the European Regional Development Fund under Grant No. 13/RC/2077.

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

  • Auditory display
  • Sonification
  • Conceptual metaphor
  • Image schema
  • Conceptual blending

Fingerprint

Dive into the research topics of 'Mapping for meaning: the embodied sonification listening model and its implications for the mapping problem in sonic information design'. Together they form a unique fingerprint.

Cite this