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The stream of experience when watching artistic movies. Dynamic aesthetic effects revealed by the Continuous Evaluation Procedure (CEP).

Muth C, Raab MH, Carbon CC - Front Psychol (2015)

Bottom Line: We conducted empirical studies on indeterminate artistic movies depicting the evolution and metamorphosis of Gestalt and investigated (i) the effects of sudden perceptual insights on liking; that is, "Aesthetic Aha"-effects, (ii) the dynamics of interest before moments of insight, and (iii) the dynamics of complexity before and after moments of insight.Statistically significant changes in liking and interest demonstrated that: (i) insights increase liking, (ii) interest already increases 1500 ms before such moments of insight, supporting the idea that it is evoked by an expectation of understanding, and (iii) insights occur during increasing complexity.Our results point to the importance of systematic analyses of dynamics in art perception and appreciation.

View Article: PubMed Central - PubMed

Affiliation: Department of General Psychology and Methodology, University of Bamberg Bamberg, Germany ; Bamberg Graduate School of Affective and Cognitive Sciences, University of Bamberg Bamberg, Germany.

ABSTRACT
Research in perception and appreciation is often focused on snapshots, stills of experience. Static approaches allow for multidimensional assessment, but are unable to catch the crucial dynamics of affective and perceptual processes; for instance, aesthetic phenomena such as the "Aesthetic-Aha" (the increase in liking after the sudden detection of Gestalt), effects of expectation, or Berlyne's idea that "disorientation" with a "promise of success" elicits interest. We conducted empirical studies on indeterminate artistic movies depicting the evolution and metamorphosis of Gestalt and investigated (i) the effects of sudden perceptual insights on liking; that is, "Aesthetic Aha"-effects, (ii) the dynamics of interest before moments of insight, and (iii) the dynamics of complexity before and after moments of insight. Via the so-called Continuous Evaluation Procedure (CEP) enabling analogous evaluation in a continuous way, participants assessed the material on two aesthetic dimensions blockwise either in a gallery or a laboratory. The material's inherent dynamics were described via assessments of liking, interest, determinacy, and surprise along with a computational analysis on the variable complexity. We identified moments of insight as peaks in determinacy and surprise. Statistically significant changes in liking and interest demonstrated that: (i) insights increase liking, (ii) interest already increases 1500 ms before such moments of insight, supporting the idea that it is evoked by an expectation of understanding, and (iii) insights occur during increasing complexity. We propose a preliminary model of dynamics in liking and interest with regard to complexity and perceptual insight and discuss descriptions of participants' experiences of insight. Our results point to the importance of systematic analyses of dynamics in art perception and appreciation.

No MeSH data available.


Related in: MedlinePlus

(A) LIKING Left panel: seven phase-shifted liking evaluations at the insight windows. Middle panel: averaged liking evaluations at the insight windows. Right panel: insight window and adjacent data windows with the only significant change being marked by an asterisk. Note: lines in light red represent the standard deviation, 2000 movie frames correspond to about 67 s. (B) INTEREST Left panel: seven phase-shifted interest evaluations at the insight windows. Middle panel: averaged interest evaluations at the insight windows. Right panel: insight window and adjacent data windows with the only significant change being marked by an asterisk. Note: lines in light violet represent the standard deviation, 2000 movie frames correspond to about 67 s. (C) COMPLEXITY Left panel: seven phase-shifted complexity evaluations (size of each frame after jpeg-compression, see Marin and Leder, 2013) at the insight windows. Middle panel: averaged complexity evaluations at the insight windows. Right panel: insight window and adjacent data windows. Note: lines in light green represent the standard error, 2000 movie frames correspond to about 67 s.
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Figure 8: (A) LIKING Left panel: seven phase-shifted liking evaluations at the insight windows. Middle panel: averaged liking evaluations at the insight windows. Right panel: insight window and adjacent data windows with the only significant change being marked by an asterisk. Note: lines in light red represent the standard deviation, 2000 movie frames correspond to about 67 s. (B) INTEREST Left panel: seven phase-shifted interest evaluations at the insight windows. Middle panel: averaged interest evaluations at the insight windows. Right panel: insight window and adjacent data windows with the only significant change being marked by an asterisk. Note: lines in light violet represent the standard deviation, 2000 movie frames correspond to about 67 s. (C) COMPLEXITY Left panel: seven phase-shifted complexity evaluations (size of each frame after jpeg-compression, see Marin and Leder, 2013) at the insight windows. Middle panel: averaged complexity evaluations at the insight windows. Right panel: insight window and adjacent data windows. Note: lines in light green represent the standard error, 2000 movie frames correspond to about 67 s.

Mentions: To reveal dynamics in appreciation with regard to an insight moment, we selected seven data intervals (insight windows) containing liking ratings ranging from 60 frames prior to each insight moment to 60 frames (which equals 4 s overall) after that insight moment and selected the according intervals of liking data (see Figure 7). We then phase-shifted all seven time windows around the insights to obtain one single insight window in which each insight moment is marked by frame “0” to be able to compare all changes in liking in relation to insight (see Figure 8A left). We then averaged data (see Figure 8 middle) and used a modified cosine value of the angle between the slope describing data before (frame “–60” to frame “0”) and the slope describing data after the insight moment (frame “0” to frame “60”; see Figure 9).


The stream of experience when watching artistic movies. Dynamic aesthetic effects revealed by the Continuous Evaluation Procedure (CEP).

Muth C, Raab MH, Carbon CC - Front Psychol (2015)

(A) LIKING Left panel: seven phase-shifted liking evaluations at the insight windows. Middle panel: averaged liking evaluations at the insight windows. Right panel: insight window and adjacent data windows with the only significant change being marked by an asterisk. Note: lines in light red represent the standard deviation, 2000 movie frames correspond to about 67 s. (B) INTEREST Left panel: seven phase-shifted interest evaluations at the insight windows. Middle panel: averaged interest evaluations at the insight windows. Right panel: insight window and adjacent data windows with the only significant change being marked by an asterisk. Note: lines in light violet represent the standard deviation, 2000 movie frames correspond to about 67 s. (C) COMPLEXITY Left panel: seven phase-shifted complexity evaluations (size of each frame after jpeg-compression, see Marin and Leder, 2013) at the insight windows. Middle panel: averaged complexity evaluations at the insight windows. Right panel: insight window and adjacent data windows. Note: lines in light green represent the standard error, 2000 movie frames correspond to about 67 s.
© Copyright Policy - open-access
Related In: Results  -  Collection

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Figure 8: (A) LIKING Left panel: seven phase-shifted liking evaluations at the insight windows. Middle panel: averaged liking evaluations at the insight windows. Right panel: insight window and adjacent data windows with the only significant change being marked by an asterisk. Note: lines in light red represent the standard deviation, 2000 movie frames correspond to about 67 s. (B) INTEREST Left panel: seven phase-shifted interest evaluations at the insight windows. Middle panel: averaged interest evaluations at the insight windows. Right panel: insight window and adjacent data windows with the only significant change being marked by an asterisk. Note: lines in light violet represent the standard deviation, 2000 movie frames correspond to about 67 s. (C) COMPLEXITY Left panel: seven phase-shifted complexity evaluations (size of each frame after jpeg-compression, see Marin and Leder, 2013) at the insight windows. Middle panel: averaged complexity evaluations at the insight windows. Right panel: insight window and adjacent data windows. Note: lines in light green represent the standard error, 2000 movie frames correspond to about 67 s.
Mentions: To reveal dynamics in appreciation with regard to an insight moment, we selected seven data intervals (insight windows) containing liking ratings ranging from 60 frames prior to each insight moment to 60 frames (which equals 4 s overall) after that insight moment and selected the according intervals of liking data (see Figure 7). We then phase-shifted all seven time windows around the insights to obtain one single insight window in which each insight moment is marked by frame “0” to be able to compare all changes in liking in relation to insight (see Figure 8A left). We then averaged data (see Figure 8 middle) and used a modified cosine value of the angle between the slope describing data before (frame “–60” to frame “0”) and the slope describing data after the insight moment (frame “0” to frame “60”; see Figure 9).

Bottom Line: We conducted empirical studies on indeterminate artistic movies depicting the evolution and metamorphosis of Gestalt and investigated (i) the effects of sudden perceptual insights on liking; that is, "Aesthetic Aha"-effects, (ii) the dynamics of interest before moments of insight, and (iii) the dynamics of complexity before and after moments of insight.Statistically significant changes in liking and interest demonstrated that: (i) insights increase liking, (ii) interest already increases 1500 ms before such moments of insight, supporting the idea that it is evoked by an expectation of understanding, and (iii) insights occur during increasing complexity.Our results point to the importance of systematic analyses of dynamics in art perception and appreciation.

View Article: PubMed Central - PubMed

Affiliation: Department of General Psychology and Methodology, University of Bamberg Bamberg, Germany ; Bamberg Graduate School of Affective and Cognitive Sciences, University of Bamberg Bamberg, Germany.

ABSTRACT
Research in perception and appreciation is often focused on snapshots, stills of experience. Static approaches allow for multidimensional assessment, but are unable to catch the crucial dynamics of affective and perceptual processes; for instance, aesthetic phenomena such as the "Aesthetic-Aha" (the increase in liking after the sudden detection of Gestalt), effects of expectation, or Berlyne's idea that "disorientation" with a "promise of success" elicits interest. We conducted empirical studies on indeterminate artistic movies depicting the evolution and metamorphosis of Gestalt and investigated (i) the effects of sudden perceptual insights on liking; that is, "Aesthetic Aha"-effects, (ii) the dynamics of interest before moments of insight, and (iii) the dynamics of complexity before and after moments of insight. Via the so-called Continuous Evaluation Procedure (CEP) enabling analogous evaluation in a continuous way, participants assessed the material on two aesthetic dimensions blockwise either in a gallery or a laboratory. The material's inherent dynamics were described via assessments of liking, interest, determinacy, and surprise along with a computational analysis on the variable complexity. We identified moments of insight as peaks in determinacy and surprise. Statistically significant changes in liking and interest demonstrated that: (i) insights increase liking, (ii) interest already increases 1500 ms before such moments of insight, supporting the idea that it is evoked by an expectation of understanding, and (iii) insights occur during increasing complexity. We propose a preliminary model of dynamics in liking and interest with regard to complexity and perceptual insight and discuss descriptions of participants' experiences of insight. Our results point to the importance of systematic analyses of dynamics in art perception and appreciation.

No MeSH data available.


Related in: MedlinePlus