Exploring the importance of individual differences to the automatic estimation of emotions induced by music

Hesam Sagha, Eduardo Coutinho, Björn Schuller

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The goal of this study was to evaluate the impact of the inclusion of listener-related factors (individual differences) on the prediction of music induced affect. A group of 24 subjects listened to a set of music excerpts previously demonstrated to express specific emotional characteristics (in terms of Arousal and Valence), and we collected information related to listeners' stable (personality, emotional intelligence, attentiveness, music preferences) and transient (mood, and physiological activity) states. Through a series of regression analysis we identified those factors which have a significant explanatory power over the affective states induced in the listeners. Our results show that incorporating information related to individual differences permits to identify more accurately the affective states induced in the listeners, which differ from those expressed by the music.

Original languageEnglish
Title of host publicationAVEC 2015 - Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge, co-Located with MM 2015
PublisherAssociation for Computing Machinery, Inc
Pages57-63
Number of pages7
ISBN (Electronic)9781450337434
DOIs
StatePublished - 26 Oct 2015
Externally publishedYes
Event5th International Workshop on Audio/Visual Emotion Challenge, AVEC 2015 - co-Located with MM 2015 - Melbourne, Australia
Duration: 26 Oct 2015 → …

Publication series

NameAVEC 2015 - Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge, co-Located with MM 2015

Conference

Conference5th International Workshop on Audio/Visual Emotion Challenge, AVEC 2015 - co-Located with MM 2015
Country/TerritoryAustralia
CityMelbourne
Period26/10/15 → …

Keywords

  • Affect induction
  • Attention
  • Emotional intelligence
  • Mood states
  • Music liking
  • Perceived music emotion
  • Personality
  • Physiological signals

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