Constructive adaptive user interfaces based on brain waves

Masayuki Numao, Takayuki Nishikawa, Toshihito Sugimoto, Satoshi Kurihara, Roberto Legaspi

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

1 Citation (Scopus)

Abstract

We demonstrate a method to locate relations and constraints between a music score and its impressions, by which we show that machine learning techniques may provide a powerful tool for composing music and analyzing human feelings. We examine its generality by modifying some arrangements to provide the subjects with a specified impression. This demonstration introduces some user interfaces, which are capable of predicting feelings and creating new objects based on seed structures, such as spectrums and their transition for sounds that have been extracted and are perceived as favorable by the test subject. This paper proposes to define knowledge components for the seed structure.

Original languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationNovel Interaction Methods and Techniques - 13th International Conference, HCI International 2009, Proceedings
Pages596-605
Number of pages10
EditionPART 2
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event13th International Conference on Human-Computer Interaction, HCI International 2009 - San Diego, CA, United States
Duration: 2009 Jul 192009 Jul 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5611 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on Human-Computer Interaction, HCI International 2009
Country/TerritoryUnited States
CitySan Diego, CA
Period09/7/1909/7/24

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'Constructive adaptive user interfaces based on brain waves'. Together they form a unique fingerprint.

Cite this