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Cross-Modal Relations between Preference for Harmony and Emotional Content William S. Griscom and Stephen E. Palmer Department of Psychology, University of California, Berkeley Background Research Questions Stimuli & Methods Emotional Associates of Harmony Within Domain Preference for Harmony (PFH) Conclusions References & Acknowledgements Previous research has shown that individual aesthetic preferences are correlated across domains (e.g., Eysenck, 1940). Recently, research has shown that preference for color combinations is largely driven by color harmony, but individuals vary in degree of preference for harmony (PFH) (Schloss & Palmer, 2010). How well does individual preference for harmony in one domain predict preference for harmony in other domains? Are personality factors or expertise relevant? How does cross-domain preference for harmony relate to emotional content? Cross-Domain Preference for Harmony (PFH) Color and musical harmony are best predicted by high scores on the Calm-Angry dimension (r 2 =.41 and .60), whereas shape simplicity and goodness-of-fit are best predicted by high scores on the Strong-Weak dimension (r 2 =.67 and .39). -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0 1 2 3 4 5 6 7 8 9 10 Preference-Harmony Correlation (r) Subjects Experiment 1 30 Psychology students 30 Art Practice students 30 Music students All stimuli were rated first for preference and then for harmony, blocked by domain, using a bipolar line-mark rating scale. Experiment 2 20 Psychology students All stimuli rated on four basic emotional dimensions: 1- Happy/Sad 2 - Angry/Calm 3 - Active/Passive 4 - Strong/Weak Eysenck, H.J. (1940) The General Factor in aesthetic judgements. British Journal of Psychology, 31:1 94-102. Garner, W.R. (1970) Good patterns have few alternatives. American Scientist, 58, 34–42. Palmer, S. E. (1991) Goodness, Gestalt, Groups, and Garner: Local symmetry sub groups as a theory of figural goodness. In G. Lockhead & J. Pomerantz (Eds.), The perception of structure: Essays in honor of Wendell R. Garner. Washington, D.C.: APA. Schloss, K. B. & Palmer, S. E. (2011) Aesthetic response to color combinations: Preference, harmony, and similarity. Attention, Perception, and Psychophysics, 73, 551-571. Thanks to Karen Schloss, Rosa Poggesi, Kyle Jennings, and many more. Funding for this research was provided by Amy’s Natural Foods, the National Science Foundation (BCS-0745820) and Google. Preference for harmony seems to be a domain general explanation for individual differences in aesthetic preference. Formal training has an effect of reducing preference for harmony in relevant domains. In addition to these domain specific effects, participants with more training showed lower general preference for harmony. Across domains, harmony is associated with positive emotional valence. Color and music harmony are associated with calmness, while spatial harmony is associated with strength. Cross-Domain Correlations in PFH Group Differences in PFH Harmonious Disharmonious Preference for Color Harmony (CH) Preference for Musical Harmony (MH) Preference for Shape Simplicity (SS) Preference for Goodness of Fit (GF) Happy/Sad Calm/Angry Active/Passive Strong/Weak Happy/Sad Calm/Angry Active/Passive Strong/Weak Happy/Sad Calm/Angry Active/Passive Strong/Weak Happy/Sad Calm/Angry Active/Passive Strong/Weak Shape Simplicity Musical Harmony Goodness of Fit Color Harmony Correlation (r) Correlation (r) Correlation (r) Correlation (r) -0.5 0 0.5 1 ** ** ** ** * * * ** * r = .97** r = .95** r = .47* r = .80** 0.43** 0.37** 0.60** 0.39** 0.46** 0.32** -0.5 0 0.5 1 -0.5 0 0.5 1 -0.5 0 0.5 1 In all domains, average preference predicts average ratings of harmony, but there are large individual differences. Individual differences are correlated across domains. Groups show domain-relevant differences in PFH. N=90 8 parameters Goodness of Fit=.983 N=90 12 parameters Goodness of Fit=.965 General Factor Model Empirical Trimming Model Color (CH) Frame (GF) Shape (SS) Music (MH) - - - - Color (CH) Frame (GF) Shape (SS) Music (MH) Structural Equation Models Confirmatory Factor Analysis shows good fit between data and models with a single general factor for PFH. # Subjects # Subjects Average r = .44** Average r = .16** Average r = .57** Average r = .36** Average Within-Group PFH (r) r (Preference, Harmony) r (Preference, Harmony) r (Preference, Harmony) r (Preference, Harmony) . . . 56 color pairs (Schloss & Palmer, 2010) 35 spatial positions (Palmer, 1991) Bach 14 classical piano pieces 22 dot configurations (Garner, 1970) Schoenberg

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Page 1: Department of Psychology, University of California, Berkeley

Cross-Modal Relations between Preference for Harmony and Emotional ContentWilliam S. Griscom and Stephen E. PalmerDepartment of Psychology, University of California, Berkeley

Background

Research Questions

Stimuli & Methods

Emotional Associates of HarmonyWithin Domain Preference for Harmony (PFH)

Conclusions

References & Acknowledgements

Previous research has shown that individual aesthetic preferences are correlated across domains (e.g., Eysenck, 1940). Recently, research has shown that preference for color combinations is largely driven by color harmony, but individuals vary in degree of preference for harmony (PFH) (Schloss & Palmer, 2010).

How well does individual preference for harmony in one domain predict preference for harmony in other domains?

Are personality factors or expertise relevant?

How does cross-domain preference for harmony relate to emotional content?

Cross-Domain Preference for Harmony (PFH)

Color and musical harmony are best predicted by high scores on the Calm-Angry dimension (r2=.41 and .60), whereas shape simplicity and goodness-of-fit are best predicted by high scores on the Strong-Weak dimension (r2=.67 and .39).

-0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8012345678910

Preference-Harmony Correlation (r)

Subj

ects

Experiment 130 Psychology students30 Art Practice students30 Music students

All stimuli were rated first for preference and then for harmony, blocked by domain, using a bipolar line-mark rating scale.

Experiment 220 Psychology students

All stimuli rated on four basic emotional dimensions:

1- Happy/Sad2 - Angry/Calm3 - Active/Passive4 - Strong/Weak

Eysenck, H.J. (1940) The General Factor in aesthetic judgements. British Journal of Psychology, 31:1 94-102.Garner, W.R. (1970) Good patterns have few alternatives. American Scientist, 58, 34–42.Palmer, S. E. (1991) Goodness, Gestalt, Groups, and Garner: Local symmetry sub groups as a theory of figural goodness. In G. Lockhead & J. Pomerantz (Eds.), The perception of structure: Essays in honor of Wendell R. Garner. Washington, D.C.: APA. Schloss, K. B. & Palmer, S. E. (2011) Aesthetic response to color combinations: Preference, harmony, and similarity. Attention, Perception, and Psychophysics, 73, 551-571.

Thanks to Karen Schloss, Rosa Poggesi, Kyle Jennings, and many more. Funding for this research was provided by Amy’s Natural Foods, the National Science Foundation (BCS-0745820) and Google.

Preference for harmony seems to be a domain general explanation for individual differences in aesthetic preference.

Formal training has an effect of reducing preference for harmony in relevant domains. In addition to these domain specific effects, participants with more training showed lower general preference for harmony.

Across domains, harmony is associated with positive emotional valence. Color and music harmony are associated with calmness, while spatial harmony is associated with strength.

Cross-Domain Correlations in PFH Group Differences in PFH

Harmonious Disharmonious

Preference for Color Harmony (CH)

Preference for Musical Harmony (MH)

Preference for Shape Simplicity (SS)

Preference for Goodness of Fit (GF)

Happy/Sad Calm/Angry Active/Passive Strong/Weak

Happy/Sad Calm/Angry Active/Passive Strong/Weak

Happy/Sad Calm/Angry Active/Passive Strong/Weak

Happy/Sad Calm/Angry Active/Passive Strong/Weak

Shape Simplicity

Musical HarmonyGoodness of Fit

Color Harmony

Cor

rela

tion

(r)

Cor

rela

tion

(r)

Cor

rela

tion

(r)

Cor

rela

tion

(r)

-0.5

0

0.5

1

****

**

**

*

*

*

**

**

r = .97**r = .95**

r = .47*r = .80**

0.43**

0.37**

0.60**

0.39**

0.46** 0.32**

-0.5

0

0.5

1

-0.5

0

0.5

1

-0.5

0

0.5

1

In all domains, average preference predicts average ratings of harmony, but there are large individual differences.

Individual differences are correlated across domains. Groups show domain-relevant differences in PFH.

N=908 parametersGoodness of Fit=.983

N=9012 parameters

Goodness of Fit=.965

GeneralFactorModel

EmpiricalTrimming

Model

Color(CH)

Frame(GF)

Shape(SS)

Music(MH)

-

-

-

-

Color(CH)

Frame(GF)

Shape(SS)

Music(MH)

Structural Equation Models

Confirmatory Factor Analysis shows good fit between data and models with a single general factor for PFH.

# S

ubje

cts

# S

ubje

cts

Average r = .44** Average r = .16**

Average r = .57**Average r = .36**

Ave

rage

With

in-G

roup

PFH

(r)

r (Preference, Harmony) r (Preference, Harmony)

r (Preference, Harmony) r (Preference, Harmony)

. . .

56 color pairs(Schloss & Palmer, 2010)

35 spatial positions(Palmer, 1991)

Bach

14 classical piano pieces

22 dot configurations(Garner, 1970)

Schoenberg