Deploying music characteristics for an affective music player

Marjolein D. van der Zwaag; Joyce H.D.M. Westerink; Egon L. van den Broek

doi:10.1109/ACII.2009.5349387

Deploying music characteristics for an affective music player

Marjolein D. van der Zwaag, Joyce H.D.M. Westerink, Egon L. van den Broek

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

7 Citations (Scopus)

9 Downloads (Pure)

Abstract

This paper describes work toward an affective music player (AMP), which is able to direct affect to a goal state by selecting music. Repeatedly, music has been shown to modulate affect; however, precise guidelines for the use of music characteristics in an AMP have not been defined. To explore these, we investigated the influence of music characteristics on 32 participants who listened to 16 songs, testing effects of tempo (slow/high), mode (minor/major), and percussiveness (low/high). Subjective measures of affect (i.e., arousal, tension, and positive and negative valence) and physiology (i.e., skin conductance level, skin conductance responses, and heart rate variability) were measured during listening. Results show main and interaction effects of music characteristics on both subjective affect and physiology, implying that the characteristics are mutually dependent in modulating affect. Based on these results, guidelines are presented for AMPs, which can effectively direct affect through music.

Original language	English
Title of host publication	Proceedings of the 3rd International Conference on Affective Computing & Intelligent Interaction (ACII)
Editors	Jeffrey Cohn, Anton Nijholt, Maja Pantic
Place of Publication	Los Alamitos, NJ
Publisher	IEEE
Pages	459-465
Number of pages	7
Volume	1
ISBN (Print)	978-1-4244-4800-5
DOIs	https://doi.org/10.1109/ACII.2009.5349387
Publication status	Published - 10 Sept 2009
Event	3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009 - De Rode Hoed, Amsterdam, Netherlands Duration: 10 Sept 2009 → 12 Sept 2009 Conference number: 3

Conference

Conference	3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009
Abbreviated title	ACII
Country/Territory	Netherlands
City	Amsterdam
Period	10/09/09 → 12/09/09

Keywords

IR-73173
METIS-260076
MUSIC
Affective music player (AMP)
HMI-HF: Human Factors
EWI-18396
psychophysiology
HMI-MI: MULTIMODAL INTERACTIONS
Emotion

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10.1109/ACII.2009.5349387

Cite this

@inproceedings{ac0c451ad8f74e1b8ae0b78cb48b335f,

title = "Deploying music characteristics for an affective music player",

abstract = "This paper describes work toward an affective music player (AMP), which is able to direct affect to a goal state by selecting music. Repeatedly, music has been shown to modulate affect; however, precise guidelines for the use of music characteristics in an AMP have not been defined. To explore these, we investigated the influence of music characteristics on 32 participants who listened to 16 songs, testing effects of tempo (slow/high), mode (minor/major), and percussiveness (low/high). Subjective measures of affect (i.e., arousal, tension, and positive and negative valence) and physiology (i.e., skin conductance level, skin conductance responses, and heart rate variability) were measured during listening. Results show main and interaction effects of music characteristics on both subjective affect and physiology, implying that the characteristics are mutually dependent in modulating affect. Based on these results, guidelines are presented for AMPs, which can effectively direct affect through music.",

keywords = "IR-73173, METIS-260076, MUSIC, Affective music player (AMP), HMI-HF: Human Factors, EWI-18396, psychophysiology, HMI-MI: MULTIMODAL INTERACTIONS, Emotion",

author = "{van der Zwaag}, {Marjolein D.} and Westerink, {Joyce H.D.M.} and {van den Broek}, {Egon L.}",

year = "2009",

month = sep,

day = "10",

doi = "10.1109/ACII.2009.5349387",

language = "English",

isbn = "978-1-4244-4800-5",

volume = "1",

pages = "459--465",

editor = "Jeffrey Cohn and Anton Nijholt and Maja Pantic",

booktitle = "Proceedings of the 3rd International Conference on Affective Computing & Intelligent Interaction (ACII)",

publisher = "IEEE",

address = "United States",

note = "3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009, ACII ; Conference date: 10-09-2009 Through 12-09-2009",

}

van der Zwaag, MD, Westerink, JHDM & van den Broek, EL 2009, Deploying music characteristics for an affective music player. in J Cohn, A Nijholt & M Pantic (eds), Proceedings of the 3rd International Conference on Affective Computing & Intelligent Interaction (ACII). vol. 1, IEEE, Los Alamitos, NJ, pp. 459-465, 3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009, Amsterdam, Netherlands, 10/09/09. https://doi.org/10.1109/ACII.2009.5349387

Deploying music characteristics for an affective music player. / van der Zwaag, Marjolein D.; Westerink, Joyce H.D.M.; van den Broek, Egon L.
Proceedings of the 3rd International Conference on Affective Computing & Intelligent Interaction (ACII). ed. / Jeffrey Cohn; Anton Nijholt; Maja Pantic. Vol. 1 Los Alamitos, NJ: IEEE, 2009. p. 459-465.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Deploying music characteristics for an affective music player

AU - van der Zwaag, Marjolein D.

AU - Westerink, Joyce H.D.M.

AU - van den Broek, Egon L.

N1 - Conference code: 3

PY - 2009/9/10

Y1 - 2009/9/10

N2 - This paper describes work toward an affective music player (AMP), which is able to direct affect to a goal state by selecting music. Repeatedly, music has been shown to modulate affect; however, precise guidelines for the use of music characteristics in an AMP have not been defined. To explore these, we investigated the influence of music characteristics on 32 participants who listened to 16 songs, testing effects of tempo (slow/high), mode (minor/major), and percussiveness (low/high). Subjective measures of affect (i.e., arousal, tension, and positive and negative valence) and physiology (i.e., skin conductance level, skin conductance responses, and heart rate variability) were measured during listening. Results show main and interaction effects of music characteristics on both subjective affect and physiology, implying that the characteristics are mutually dependent in modulating affect. Based on these results, guidelines are presented for AMPs, which can effectively direct affect through music.

AB - This paper describes work toward an affective music player (AMP), which is able to direct affect to a goal state by selecting music. Repeatedly, music has been shown to modulate affect; however, precise guidelines for the use of music characteristics in an AMP have not been defined. To explore these, we investigated the influence of music characteristics on 32 participants who listened to 16 songs, testing effects of tempo (slow/high), mode (minor/major), and percussiveness (low/high). Subjective measures of affect (i.e., arousal, tension, and positive and negative valence) and physiology (i.e., skin conductance level, skin conductance responses, and heart rate variability) were measured during listening. Results show main and interaction effects of music characteristics on both subjective affect and physiology, implying that the characteristics are mutually dependent in modulating affect. Based on these results, guidelines are presented for AMPs, which can effectively direct affect through music.

KW - IR-73173

KW - METIS-260076

KW - MUSIC

KW - Affective music player (AMP)

KW - HMI-HF: Human Factors

KW - EWI-18396

KW - psychophysiology

KW - HMI-MI: MULTIMODAL INTERACTIONS

KW - Emotion

U2 - 10.1109/ACII.2009.5349387

DO - 10.1109/ACII.2009.5349387

M3 - Conference contribution

SN - 978-1-4244-4800-5

VL - 1

SP - 459

EP - 465

BT - Proceedings of the 3rd International Conference on Affective Computing & Intelligent Interaction (ACII)

A2 - Cohn, Jeffrey

A2 - Nijholt, Anton

A2 - Pantic, Maja

PB - IEEE

CY - Los Alamitos, NJ

T2 - 3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009

Y2 - 10 September 2009 through 12 September 2009

ER -

Deploying music characteristics for an affective music player

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