DropNotes: A music composition interface utilizing the combination of affordances of tangible objects

Musashi Nakajima, Hidekazu Saegusa, Yuto Ozaki, Yoshihiro Kanno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The design principle of Tangible User Interfaces has been applied to musical interfaces for more accessible usage of computers for musical expression. This paper proposes DropNotes, a tangible user interface for music composition, which utilizes the combination of affordances of familiar objects as metaphorical procedures to manipulate digital audio. By creating more accessible and intuitive user interface for music composition, we target opening up a novel interactive musical expression.

Original languageEnglish
Title of host publicationAdvances in Computer Entertainment - 10th International Conference, ACE 2013, Proceedings
Pages604-607
Number of pages4
DOIs
Publication statusPublished - 2013 Dec 1
Event10th International Conference on Advances in Computer Entertainment, ACE 2013 - Boekelo, Netherlands
Duration: 2013 Nov 122013 Nov 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8253 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Advances in Computer Entertainment, ACE 2013
CountryNetherlands
CityBoekelo
Period13/11/1213/11/15

Keywords

  • Affordance
  • Digital audio workstation
  • Music composition
  • Tangible user interface

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Nakajima, M., Saegusa, H., Ozaki, Y., & Kanno, Y. (2013). DropNotes: A music composition interface utilizing the combination of affordances of tangible objects. In Advances in Computer Entertainment - 10th International Conference, ACE 2013, Proceedings (pp. 604-607). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8253 LNCS). https://doi.org/10.1007/978-3-319-03161-3_63