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Digital Creativity

Volume 18, Issue 1, 2007

Controlling musical emotionality: an affective computational architecture for influencing musical emotions

Controlling musical emotionality: an affective computational architecture for influencing musical emotions

DOI:
10.1080/14626260701253606
Steven R. Livingstoneac, Ralf Mühlbergera, Andrew R. Brownbc & Andrew Lochac

pages 43-53

Available online: 20 Mar 2007

Abstract

Emotions are a key part of creative endeavours, and a core problem for computational models of creativity. In this paper we discuss an affective computing architecture for the dynamic modification of music with a view to predictablyaffectinginducedmusicalemotions. Extending previous work on the modification of perceived emotions in music, our system architecture aims to provide reliable control of both perceived and induced musical emotions: its emotionality. A rule-based system is used to modify a subset of musical features at two processing levels, namely score and performance. The interactive model leverages sensed listener affect by adapting the emotionality of the music modifications in real-time to assist the listener in reaching a desired emotional state.

Keywords

 

Details

  • Citation information:
  • Available online: 20 Mar 2007

Author affiliations

  • a The University of Queensland, Australia
  • b Queensland University of Technology, Australia
  • c The Australasian CRC for Interaction Design, Australia

Author notes

  • Steven R. Livingstone -

    Steven R. Livingstone is a doctoral student at The University of Queensland, and Australasian CRC for Interaction Design. He received his B.Sc. in physics and B.Inf.Tech. (hon.) from The University of Queensland. His thesis explores the use of computers for influencing the perceived and induced emotions of music. He has published in affective computing, music psychology, evolutionary origins of music, and emotion psychology. As a Research Assistant he examined new media collaboration, content management systems and DRM. Steven is also an accomplished classical pianist and composer.

  • Ralf Mühlberger -

    Ralf Mühlberger teaches computer science at The University of Queensland. Dr. Mühlberger's background is in distributed information management using integrating technologies such as workflow management systems and peer-to-peer computing, particularly from a modelling perspective. A member of the Interaction Design Research Division, he is now looking at engagement models, affective computing, and various study and design methods from the human-computer interaction (HCI) and computer support for collaborative work (CSCW) fields.

  • Andrew R. Brown -

    Andrew R. Brown is an Associate Professor at the Queensland University of Technology where he teaches music and sound and is the Digital Media Program Manager for the Australasian CRC for Interaction Design (ACID). Dr. Brown's expertise is in technologies that support creativity, computational music and art, and the philosophy of technology. His current research focuses on the aesthetics of process and adaptive music for interactive entertainment. He is an active computer musician and a builder of software tools for dynamic content creation.

  • Andrew Loch -

    Andrew Loch is a doctoral student at The University of Queensland, and Australasian CRC for Interaction Design (ACID). His doctoral thesis, entitled ‘Responsive media spaces for affective computing environments’ is in the area of affective computing and interaction design.

Librarians

Taylor & Francis Group