This document outlines a methodology for developing an affective-psychophysiological model of music production. The methodology involves representing emotions in dimensional space, creating an affective music knowledge base linking musical features to emotional arousal and valence, and manipulating music segments to produce emotional outputs. The emotional outputs will be validated using psychophysiological measures and self-reports to assess the perceived and induced emotions. The goal is to design a computational model of music production grounded in affective and psychophysiological foundations that can reliably express and induce emotions through music.

1. António Pedro OliveiraAntónio Pedro Oliveira
University of Coimbra,University of Coimbra,
PortugalPortugal
12/09/200712/09/2007
Towards Affective-
Psychophysiological
Foundations for Music Production

2. 02/12/16 António Pedro Oliveira 2
OutlineOutline
 IntroductionIntroduction
 Background
 MethodologyMethodology
 Emotions representationEmotions representation
 Affective Music Knowledge BaseAffective Music Knowledge Base
 Music manipulationMusic manipulation
 Emotional output validationEmotional output validation
 ConclusionConclusion

3. 02/12/16 António Pedro Oliveira 3
IntroductionIntroduction
 BackgroundBackground
 Music Psychology
 Understand perception, cognition and experiencing of
music
 Computer Music
 Use computer in the analysis and production of music
 Affective Computing
 Use of devices to process (recognize, simulate and
express) emotions

4. 02/12/16 António Pedro Oliveira 4
IntroductionIntroduction
 Types of affect (Scherer 2000)Types of affect (Scherer 2000)

5. 02/12/16 António Pedro Oliveira 5
MethodologyMethodology

6. 02/12/16 António Pedro Oliveira 6
MethodologyMethodology

7. 02/12/16 António Pedro Oliveira 7
MethodologyMethodology

8. 02/12/16 António Pedro Oliveira 8
MethodologyMethodology

9. 02/12/16 António Pedro Oliveira 9
Emotions representationEmotions representation
 2 Dimensional and Lexical space2 Dimensional and Lexical space

10. 02/12/16 António Pedro Oliveira 10
Affective Music Knowledge BaseAffective Music Knowledge Base
 Relations between musical featuresRelations between musical features
and arousal and valence of emotionsand arousal and valence of emotions

11. 02/12/16 António Pedro Oliveira 11
Affective MusicAffective Music
 Match relations of the knowledge baseMatch relations of the knowledge base
with the emotional description (e.g., highwith the emotional description (e.g., high
valence)valence)
 Select music from the music baseSelect music from the music base
according to matched relationsaccording to matched relations

12. 02/12/16 António Pedro Oliveira 12
Sequence and transform selectedSequence and transform selected
musicmusic
 Produce a set of musical segmentsProduce a set of musical segments
that sound fluentthat sound fluent

13. 02/12/16 António Pedro Oliveira 13
Perceived and induced emotionsPerceived and induced emotions
 Use of psychophysiologicalUse of psychophysiological
measures to detect perceived andmeasures to detect perceived and
induced emotionsinduced emotions
 Electromyography

14. 02/12/16 António Pedro Oliveira 14
Perceived and induced emotionsPerceived and induced emotions
 Electrocardiogram
 Respiration

15. 02/12/16 António Pedro Oliveira 15
Perceived and induced emotionsPerceived and induced emotions
 Skin conductance

16. 02/12/16 António Pedro Oliveira 16
Perceived and induced emotionsPerceived and induced emotions
 Relations of emotionsRelations of emotions
 Sadness, fear and happiness
 with psychophysiological measureswith psychophysiological measures
 Heart rate, blood pressure, skin conductance, temperature,
etc.

17. 02/12/16 António Pedro Oliveira 17
Emotional output validationEmotional output validation
 Assessment methodologyAssessment methodology
 Use emotional descriptions to select and manipulate
music with appropriate musical features
 Play an emotional playlist
 Identify emotions through the analysis of
psychophysiological and self-report measures

18. 02/12/16 António Pedro Oliveira 18
ConclusionConclusion
 Design a computational model of music
production grounded on affective and
psychophysiological foundations
 Validate the model with users to promote a reliable
expression and induction of emotions by using music
 System can be applied in areas that intend to
produce music given an emotional input
 Music Therapy, soundtracks for arts, movies, dance, theater,
virtual environments, computer games, etc.