Stable aesthetic standards delusion: Changing artistic quality by elaboration

Similar documents
The adaptivity it of aesthetic ti dimensions in the domains of art and design

Dynamics of aesthetic appreciation

Are there opposite pupil responses to different aspects of processing fluency?

Art Perception in the Museum: How We Spend Time and Space in Art Exhibitions

Leder Belke Oeberst & Augustin 2004

Manuscript under review for Psychological Science. Covert Painting Simulations Influence Aesthetic Appreciation of Artworks

INFLUENCE OF MUSICAL CONTEXT ON THE PERCEPTION OF EMOTIONAL EXPRESSION OF MUSIC

The Effects of Web Site Aesthetics and Shopping Task on Consumer Online Purchasing Behavior

This paper is in press (Frontiers in Human Neuroscience)

Images of Mary: Effects of Style and Content on Reactions to Marian Art Abstract METHOD Participants

AN IDENTIFICATION OF SYNAESTHETIC ABILITY: CONSISTENCY OF SYNAESTHETIC EXPERIENCE TO VOWELS AND DIGITS

8K Resolution: Making Hyperrealism a Reality

DAT335 Music Perception and Cognition Cogswell Polytechnical College Spring Week 6 Class Notes

The Tone Height of Multiharmonic Sounds. Introduction

CHAPTER ONE. of Dr. Scheiner s book. The True Definition.

Gestalt, Perception and Literature

Influence of timbre, presence/absence of tonal hierarchy and musical training on the perception of musical tension and relaxation schemas

Investigation of Aesthetic Quality of Product by Applying Golden Ratio

Table 1 Pairs of sound samples used in this study Group1 Group2 Group1 Group2 Sound 2. Sound 2. Pair

Truth and Method in Unification Thought: A Preparatory Analysis

THE IMPLEMENTATION OF INTERTEXTUALITY APPROACH TO DEVELOP STUDENTS CRITI- CAL THINKING IN UNDERSTANDING LITERATURE

Empirical Aesthetics. William Seeley, Bates College

The uncatchable smile in Leonardo da Vinci's La Bella Principessa Portrait

S1C1-301 Contribute to a discussion about ideas for his or her own artwork. Assessed by performance assessment DOK 3

13. ENHANCING MUSIC LISTENING IN EDUCATIONAL CONTEXT

Why t? TEACHER NOTES MATH NSPIRED. Math Objectives. Vocabulary. About the Lesson

Modeling sound quality from psychoacoustic measures

Dimensions in Appreciation of Car Interior Design

A perceptual study on face design for Moe characters in Cool Japan contents

Natural Scenes Are Indeed Preferred, but Image Quality Might Have the Last Word

Standard 1: Understanding and Applying Media Techniques and Processes Exemplary

MERE EXPOSURE AND AESTHETIC REALISM A RESPONSE TO PERCEPTUAL LEARNING, THE MERE EXPOSURE EFFECT AND AESTHETIC ANTI-REALISM BY BENCE NANAY

I like those glasses on you, but not in the mirror: Fluency, preference, and virtual mirrors

On Musical Preference. Kendrick K woczalla. Ball State University

The Influence of Visual Metaphor Advertising Types on Recall and Attitude According to Congruity-Incongruity

CSE Data Visualization. Color. Jeffrey Heer University of Washington

This paper is in press (Acta Psychologica) The Aesthetic Aha: On the pleasure of having insights into Gestalt. Germany

Brief Report. Development of a Measure of Humour Appreciation. Maria P. Y. Chik 1 Department of Education Studies Hong Kong Baptist University

NETFLIX MOVIE RATING ANALYSIS

A Serious Heritage Game for Art History: Design and Evaluation of ThIATRO

SocioBrains THE INTEGRATED APPROACH TO THE STUDY OF ART

SHORT TERM PITCH MEMORY IN WESTERN vs. OTHER EQUAL TEMPERAMENT TUNING SYSTEMS

Quantify. The Subjective. PQM: A New Quantitative Tool for Evaluating Display Design Options

Embodied music cognition and mediation technology

Lecture 2 Video Formation and Representation

Acta Psychologica 130 (2009) Contents lists available at ScienceDirect. Acta Psychologica. journal homepage:

Improving Piano Sight-Reading Skills of College Student. Chian yi Ang. Penn State University

Educational Innovation

Instructions to Authors

Subject Area. Content Area: Visual Art. Course Primary Resource: A variety of Internet and print resources Grade Level: 1

Object Oriented Learning in Art Museums Patterson Williams Roundtable Reports, Vol. 7, No. 2 (1982),

Psychology of Aesthetics, Creativity, and the Arts

Urban Space and Architectural Scale - Two Examples of Empirical Research in Architectural Aesthetics

Non-Reducibility with Knowledge wh: Experimental Investigations

Construction of a harmonic phrase

Image and Imagination

MS-E Crystal Flowers in Halls of Mirrors 30 Mar Algorithmic Art II. Tassu Takala. Dept. of CS

European University VIADRINA

Instructions to Authors

Digital Images in Mobile Communication as Cool Media

Pitch Perception. Roger Shepard

Proceedings of Meetings on Acoustics

Reality According to Language and Concepts Ben G. Yacobi *

Fechner s Aesthetics Revisited

Tamar Sovran Scientific work 1. The study of meaning My work focuses on the study of meaning and meaning relations. I am interested in the duality of

Musical Entrainment Subsumes Bodily Gestures Its Definition Needs a Spatiotemporal Dimension

RECOMMENDATION ITU-R BT Methodology for the subjective assessment of video quality in multimedia applications

Relation between the overall unpleasantness of a long duration sound and the one of its events : application to a delivery truck

The relationship between shape symmetry and perceived skin condition in male facial attractiveness

Instrumental Music Curriculum

ARChive Online ISSN: The International Conference : Cities Identity Through Architecture and Arts (CITAA)

Quarterly Progress and Status Report. Perception of just noticeable time displacement of a tone presented in a metrical sequence at different tempos

Resources. Include appropriate web-site information/texts/dvd/vcr

MELODIC AND RHYTHMIC CONTRASTS IN EMOTIONAL SPEECH AND MUSIC

Practical Application of the Phased-Array Technology with Paint-Brush Evaluation for Seamless-Tube Testing

Visualizing Euclidean Rhythms Using Tangle Theory

RESPONDING TO ART: History and Culture

Synchronous Sequential Logic

A 5 Hz limit for the detection of temporal synchrony in vision

Precision testing methods of Event Timer A032-ET

TV Synchronism Generation with PIC Microcontroller

Why are average faces attractive? The effect of view and averageness on the attractiveness of female faces

Michael Lüthy Retracing Modernist Praxis: Richard Shiff

Acoustic and musical foundations of the speech/song illusion

OPTIMAL TELEVISION SCANNING FORMAT FOR CRT-DISPLAYS

Christ to Coke: How Image Becomes Icon; Martin Kemp

Can parents influence children s music preferences and positively shape their development? Dr Hauke Egermann

SUBJECTIVE QUALITY EVALUATION OF HIGH DYNAMIC RANGE VIDEO AND DISPLAY FOR FUTURE TV

Date: Thursday, 18 November :00AM

Effectively Managing Sound in Museum Exhibits. by Steve Haas

into a Cognitive Architecture

Modeling memory for melodies

Dissociating Averageness and Attractiveness: Attractive Faces Are Not Always Average

Master of Arts in Psychology Program The Faculty of Social and Behavioral Sciences offers the Master of Arts degree in Psychology.

Radiating beauty" in Japan also?

(Refer Slide Time: 2:00)

Authentication of Musical Compositions with Techniques from Information Theory. Benjamin S. Richards. 1. Introduction

1.4.5.A2 Formalism in dance, music, theatre, and visual art varies according to personal, cultural, and historical contexts.

Running head: FACIAL SYMMETRY AND PHYSICAL ATTRACTIVENESS 1

The quality of potato chip sounds and crispness impression

Transcription:

Perception, 014, volume 43, pages 1006 1013 doi:10.1068/p7709 Stable aesthetic standards delusion: Changing artistic quality by elaboration Claus-Christian Carbon 1,, Vera M Hesslinger 1,3 1 Department of General Psychology and Methodology, University of Bamberg, Bamberg, D-96047 Bamberg, Germany; Graduate School of Affective and Cognitive Sciences, Bamberg, Germany; 3 Abteilung Allgemeine Experimentelle Psychologie, Johannes Gutenberg Universität Mainz, Mainz, Germany; e mail: ccc@experimental-psychology.com Received 5 February 014, in revised form 14 April 014, published online 16 June 014 Abstract. The present study challenges the notion that judgments of artistic quality are based on stable aesthetic standards. We propose that such standards are a delusion and that judgments of artistic quality are the combined result of exposure, elaboration, and discourse. We ran two experiments using elaboration tasks based on the repeated evaluation technique in which different versions of the Mona Lisa had to be elaborated deeply. During the initial task either the version known from the Louvre or an alternative version owned by the Prado was elaborated; during the second task both versions were elaborated in a comparative fashion. After both tasks multiple blends of the two versions had to be evaluated concerning several aesthetic key variables. Judgments of artistic quality of the blends were significantly different depending on the initially elaborated version of the Mona Lisa, indicating experience-based aesthetic processing, which contradicts the notion of stable aesthetic standards. Keywords: aesthetics, delusion, visual arts, Mona Lisa, perceptual standards, beauty, artistic quality, familiarity, portrait, face, texture, shape, dynamics of aesthetic appreciation, liking 1 Introduction Visual or optical illusions are not only pleasurable to look at but can serve as important phenomena in investigating visual processing and perception (see Gregory, 1997). Triggering processes of low-level, mid-level, as well as high-level vision, they play with our visual and cognitive systems (for further information and joyful illustrations of visual illusions, see http://michaelbach.de/ot/ and http://www.die-scheune.info/kategorie/katalog/optischephanomene/). The results of this can be astonishing and may yield some kind of Aha (cf Aesthetic Aha effect, Muth & Carbon, 013) in the perceiver [so it is no big surprise that many (strangely not all) people stand open-mouthed when encountering a hollow face and experiencing the perceptual flip for the first time]. Importantly, the same processes that underlie our surprise in response to visual illusions are an integral part of the standard repertoire of everyday visual perception during which they will, however, usually go unnoticed. While a great variety of visual illusions are well researched and documented, there are certain illusions or delusions (1) based on more complex processes of high-level vision and cognition that have rarely been investigated so far. One of these is the delusion of stable aesthetic standards, on which we will focus in the following. 1.1 The delusion of stable aesthetic standards A key assumption of everyday-life aesthetics is that there are some specific standards defining the aesthetic and artistic quality of an art object. According to this assumption, a high artistic quality will be ascribed to a given piece of art if it meets these aesthetic standards, but the piece will be considered as being of poor artistic quality if it does not meet them. (1) With regards to the phenomenon of highly flexible instead of stable aesthetic standards which we present here, we will consistently speak of a delusion instead of an illusion, as our results refer to a misconception rather than a misperception.

Stable aesthetic standards delusion 1007 As it is further supposed that these standards are rather stable (or not immediately changeable, at least), such a conception implies as well that artistic quality itself is stable and objectifiable. In empirical aesthetic research the notion of predefined standards is mirrored by objectcentred approaches, starting with Fechner s (1876) experiments on the Golden Section. Alternative approaches, however, state that the aesthetic appeal of an object is determined not exclusively by its specific configuration and constitution but also by characteristics of different perceivers (recipients) and the way they interact with the object in different (environmental, semantic, and historical) contexts, which further means that the aesthetic appeal of the object is neither entirely objectively definable nor necessarily stable. One important process that has been identified as a source of dynamic changes in the aesthetic appeal of objects is elaboration in terms of extended active (cf Carbon & Leder, 005) and/or deep processing (cf Craik & Lockhart, 197; Lockhart & Craik, 1990). Besides increasing familiarity, which can already have a positive effect on the attitude towards the object (Zajonc, 1968), elaboration yields deeper processing (cf Craik, 00; Craik & Lockhart, 197) and a better understanding by potentially enabling alternative access(es) to and new insights into the meaning of the object. As could be shown, such active, deep elaboration and the related new perceptual and experiential inputs are able to make an object more appealing to the perceiver (Carbon, 011; see also repeated evaluation technique RET, Carbon & Leder, 005). Elaboration is even a key factor in triggering long-term cyclic changes in the aesthetic appreciation of design features (cf Carbon, 010, 011, cycle of preference for curved vs straight car designs). As Martindale (1990) showed, such (cyclic) changes are not limited to design but can also be found with regards to artistic style in the visual arts. And a recent psychological study suggests that evaluations of artistic quality are even so fragile that they can easily be corrupted by authenticity information (Wolz & Carbon, in press). Despite such results and the lessons to be learned from art history, it seems that the above-mentioned assumption that outlasting standards define whether an artwork is or is not of high quality persists in the mind. In the following we provide further evidence for the delusive character of this assumption by demonstrating that even the aesthetic quality of a well-known artwork can be changed by means of relatively short periods of deep elaboration. 1. The present study: the Mona Lisa and the delusion of stable aesthetic standards The Mona Lisa (1503 and later) by Leonardo da Vinci is highly appreciated by arts connoisseurs, experts, and laymen. Since its early days, this Renaissance portrait of a young Italian female has been praised for its high artistic quality (see, for instance, Vasari, 1568/008). The vividness of the sitter s expression and the luminosity of the depiction (though meanwhile reduced due to ageing of the varnish) attained by the subtle use of sfumato (see also Elias & Cotte, 008; Ruhemann, 1961), for instance, are characteristics referred to in order to confirm such appraisal. It can be said, in retrospect, that the Mona Lisa did indeed determine the direction of later developments of the Renaissance portrait genre (Zöllner & Nathan, 011), and over the centuries the painting has become part of the collective memory and the canon of (Western) art in terms of an ideal portrait. Representing some kind of gold standard of portrait art, the Mona Lisa is perfectly suited to be used as a litmus test of aesthetic standards and their stability, which we did in the present study. Our rationale was as follows: if the artistic quality ascribed to the Mona Lisa and the aesthetic standards on the basis of which this quality is defined were objective and stable, evaluations of the artistic quality would not be easy to modify. If, conversely, it was possible to change evaluations of the artistic quality with little effort, this would question the objectivity and stability of the artistic quality and related aesthetic standards.

1008 C-C Carbon, V M Hesslinger Method In line with our rationale, we ran two experiments testing whether recently experienced, perceptual inputs that are actively and deeply elaborated on are capable of substantially altering evaluations of the artistic quality of the Mona Lisa..1 Participants Thirty-one persons (M age = 1.4 years; SD age =.7 years; twenty-seven female) participated in experiment 1, and thirty-one different persons (M age = 1.4 years; SD age = 4.6 years; twenty-seven female) participated in experiment. For each experiment, participants were randomly assigned to the experimental conditions (experiment 1: Louvre initial n = 15; Prado initial n = 16; experiment : Louvre initial n = 13; Prado initial n = 18). All participants had normal or corrected-to-normal vision (assessed by a standard Snellen eye chart test) and normal colour vision (assessed by a short version of the Ishihara colour test). They were mostly undergraduate students from the University of Bamberg, Germany, who received course credit points for their participation. The participants had no specific training in the arts and were naive to the purpose of this experiment.. Apparatus and stimuli The experiments were programmed and controlled using SR Experiment Builder running on a Windows PC with a screen resolution of 1600 900 pixels. The stimuli were the same for experiment 1 and experiment. We used two different versions of the Mona Lisa (aka La Gioconda), both painted at the beginning of the 16th century: the world-famous version that is exhibited in the Louvre museum in Paris (figure 1, top-left image) and a distinct version owned by the Prado museum in Madrid (figure 1, bottom-right image). T075 S075 T075 S05 Q T05 S075 T05 S05 Louvre % S(hape) & Prado Louvre % T(exture) & Prado Figure 1. [In colour online, see http://dx.doi.org/10.1068/p7709] Illustration of the stimuli used: the Mona Lisa as exhibited in the Louvre museum, Paris, is shown top left, and the widely unknown version owned by the Prado museum, Madrid, is shown bottom right. Furthermore, the construction of 49 different blends of the Louvre and the Prado versions of the Mona Lisa is sketched. The blends were generated by fully crossing 7 levels of texture morphing and 7 levels of shape warping, the levels being 5%, 33%, 4%, 50%, 58%, 67%, and 75% of the Louvre version s texture ( T ) and shape ( S ), respectively. The item coding in the figure accordingly provides the amount of the Louvre version s texture and shape contained in the blend for example, T075/S075 means that this blend has 75% of the texture and 75% of the shape aspects of the Louvre version (and, thus, 5% of the texture and 5% of the shape aspects of the Prado version).

Stable aesthetic standards delusion 1009 This alternative version is a little-known copy of the Louvre version. Most probably, it also stems from Leonardo s studio (though he did not make it himself ) and might have been painted simultaneously to the famous original. The two versions are highly similar concerning their composition but differ slightly in perspective (Carbon & Hesslinger, 013) and show obvious differences in texture and colorization. It is assumed that both versions originally shared the same colour spectrum; owing to the yellowed varnish, however, the Louvre version now looks much darker than the restored Prado version with its brighter, blueish colours (cf Elias & Cotte, 008; Zöllner & Nathan, 011). Higher resolution images of the two paintings can be retrieved from Carbon and Hesslinger (013). In addition to the Louvre and the Prado versions, we utilized 49 blends of paintings that we generated via a combination of morphing (7 intermediate texture levels) and warping (7 intermediate shape levels) following the schema shown in figure 1. The blends were realized through FantaMorph Deluxe with linear transitions between the two paintings: while the warping procedure blends only shape aspects, the morphing procedure exclusively blends texture aspects. We adjusted all the resulting + 49 stimuli to a size of 41 684 pixels yielding visual angles of 8.0 deg width and 13.0 deg height when participants, as advised, had a distance of approximately 65 cm from the screen..3 Procedure The whole procedure of each experiment took about 30 min and comprised four phases (see figure ): (1) initial single elaboration task, () test phase 1/T1, (3) comparative elaboration task, and (4) test phase /T. Both elaboration tasks are based on the elaboration procedure of the RET (Carbon & Leder, 005). (1) For the initial single elaboration task the participants were exposed to either the Louvre version (condition Louvre initial) or the Prado version (condition Prado initial ) of the Mona Lisa for ten minutes. They were asked to answer multiple questions concerning Initial single elaboration task Test phase 1 (T1) Comparative elaboration task Test phase (T) participants elaborate the portrait, guided by questionnaire participants rate all blended versions concerning two variables participants elaborate portraits side-by-side, guided by questionnaire participants again rate all blended versions concerning two variables artistic quality? artistic quality? Prado Mona Lisa 49 blends personal liking? Prado Mona Lisa Louvre Mona Lisa 49 blends personal liking? 49 blends 49 blends 10 min self-paced self-paced self-paced Figure. [In colour online.] Procedure and time course applied in experiments 1 and, illustrated by the example of experiment 1 with the condition Prado initial, where participants were exposed to the Prado version of the Mona Lisa at the beginning of the study.

1010 C-C Carbon, V M Hesslinger different attributes of the presented portrait, which should initiate a thorough elaboration of the stimulus (eg What is the colour composition like? Please describe in detail!, What might the portrayed person think?, What can you see in the background? ). They were not provided with any further information concerning the painting or its provenance. () In test phase 1/T1 the participants evaluated the 49 different blends of the Louvre version and the Prado version with regard to two variables. The 49 blends were presented one by one and in randomized order in the course of two iteration loops (first round = variable A, second round = variable B; the order of the variables was the same for all participants). In experiment 1 the variables asked for were artistic quality (A) and personal liking (B). In experiment the variables asked for were familiarity (A) and similarity to the Mona Lisa exhibited in the Louvre (B). For each variable the participants evaluated the blends using a scale ranging from 1 ( very low ) to 7 ( very high ). The evaluation of the more-or-less Louvre-like and Prado-like blends with regard to different variables allowed for assessing the specific impact of the initial single elaboration task and the comparative elaboration task, respectively. (3) For the comparative elaboration task the participants were exposed to the Louvre and the Prado versions of the Mona Lisa presented next to each other. They were asked to compare the two portraits in detail by answering multiple questions concerning different attributes of them, which should trigger the elaboration of similarities and differences between the paintings (eg How similar are the two persons depicted in the two portraits? Please compare them to each other!, Where was the respective model of each portrait sitting? Please describe! ). Again, they were not provided with any further information concerning the paintings or their provenances. (4) In test phase /T the participants had to evaluate all blends for a second time concerning the variables already asked for in test phase 1. T thus served as a retest of T1 allowing for investigating which influence the comparative elaboration of the Louvre and the Prado versions had on the evaluation of their blends. 3 Results and discussion As our results show, the participants differentiated between the different blends mainly on the basis of variations in texture, but not shape, which is not very surprising as the two versions of the Mona Lisa, out of which the blends were generated, are very different with regard to the texture dimension while looking very similar with regard to shape. So in the following we will focus on the main results concerning the texture dimension. The similarity ratings made by the participants in both conditions were nearly linearly related to the mathematical similarity of the different morphing levels (see figure 3) (only main effects of texture were found after the initial elaboration: F 6, 174 = 40.45, p < 0.0001, h p = 0.58; and after the comparative elaboration: F 6, 174 = 83.99, p < 0.0001, h p = 0.743). Blends that were in fact more Louvre-like were also rated as being more similar to the original Mona Lisa. This relation was not affected by elaboration. In accordance with previously reported findings (eg Carbon & Leder, 005; Faerber, Leder, Gerger, & Carbon, 010), elaboration had a significant impact on the aesthetic appreciation in terms of personal liking, which was reflected by specific liking patterns depending on the initially elaborated version of the Mona Lisa (significant interaction between initial elaboration and texture for T1/after initial elaboration task: F 6, 174 = 3.86, p = 0.001, h p = 0.117; for T/after comparative elaboration task: F 6, 174 = 5.6, p < 0.0001, h p = 0.16). Participants who had initially elaborated the Louvre version showed higher liking with increasing similarity of the blends to the Louvre version. Participants who had initially elaborated the Prado version, in contrast, did not show clear preferences, neither for more Louvre-like nor for more Prado-like blends. So, initial elaboration of the Prado as compared

Stable aesthetic standards delusion 1011 Artistic quality (1 7) 6.0 5.5 5.0 4.5 4.0 3.5 3.0.5 First test phase (T1) Louvre initial Prado initial Second test phase (T) Louvre initial Prado initial 6.0 Personal liking (1 7) 5.5 5.0 4.5 4.0 3.5 3.0.5 6.0 5.5 Familiarity (1 7) 5.0 4.5 4.0 3.5 3.0.5 Similarity to famous version (1 7) (a) 6.0 5.5 5.0 4.5 4.0 3.5 3.0.5 5% 33% 4% 50% 58% 67% 75% 5% 33% 4% 50% 58% 67% 75% (b) Figure 3. Evaluation of the four dependent variables for all texture levels split by elaboration (Louvre vs Prado) in T1 (a) and T (b): artistic quality and personal liking (experiment 1) and familiarity and similarity to the famous version (experiment ). The x axis shows the amount of texture related to the Louvre version that is, 75% means 75% of the texture of the Louvre version (thus, 5% of the Prado version).

101 C-C Carbon, V M Hesslinger with the Louvre version led to more equalized liking for different blends. One might also interpret this as the preference for the famous original being cut off after the deep processing of a competing version. Most interestingly, the elaboration tasks also had significant effects on the evaluation of the artistic quality: participants who had actively elaborated the well known Louvre version during the initial single elaboration task evaluated the artistic quality higher, the more similar a blend was to the Louvre version; but, essentially, participants who had elaborated the Prado version during the initial task rated blends that were more similar to the Prado version as being of higher artistic quality (interaction between initial elaboration and texture level, F 6, 174 = 4.03, p = 0.0008, h p = 0.1). This means that the two groups showed converse evaluation patterns. Importantly, the subsequent comparative elaboration of the Prado and the Louvre versions side-by-side did attenuate but did not completely reset the ratings of the participants who had initially elaborated the Prado version. They kept on clearly deviating from the ratings of the participants who had initially elaborated the Louvre version and who still ascribed higher artistic quality to the more Louvre-like blends (interaction between initial elaboration and texture level, F 6, 174 = 5.15, p < 0.0001, h p = 0.151). This result is contrary to the idea that artistic quality is determined by stable aesthetic standards. If this actually was the case, the participants ratings should have been made independent of the initial elaboration task. On average, the participants and also those who had elaborated the Prado version should have ascribed higher artistic quality to blends being more similar to the Louvre s Mona Lisa, which is commonly considered as being an ideal portrait and having high artistic quality. But precisely this did not happen, not even after the comparative elaboration task during which both the original and the (seemingly lower quality) copy could be inspected next to each other though the more Louvre-like blends were now rated as maximally familiar also by participants who had initially elaborated the Prado version. 4 Conclusion Our results underline the delusive character of assumptions of stable aesthetic standards. When assessing the artistic quality of artworks, we do not in fact refer to standards written in stone but to the combined result of exposure, elaboration, and discourse. Here we showed how these processes impact evaluations at the microlevel, in the individual perceivers minds. At the macrolevel we find parallel processes such as cultural discourse determining aesthetic canons. Knowing the underlying cognitive processes enables us to cast off (probably decrepit) standards and contributes to gaining a more detached, unprejudiced access to aesthetics and the arts. Authors note. We would like to thank Michael Bach, Alan Gilchrist, and an anonymous reviewer for their time and effort to improve a previous version of this manuscript and Nick Wade for editing this piece of research. References Carbon, C.-C. (010). The cycle of preference: Long-term dynamics of aesthetic appreciation. Acta Psychologica, 134, 33 44 Carbon, C.-C. (011). Cognitive mechanisms for explaining dynamics of aesthetic appreciation. i Perception,, 708 719. doi:10.1068/i0463aap Carbon, C.-C., & Hesslinger, V. M. (013). Da Vinci s Mona Lisa entering the next dimension. Perception, 4, 887 893. doi:10.1068/p754 Carbon, C.-C., & Leder, H. (005). The Repeated Evaluation Technique (RET): A method to capture dynamic effects of innovativeness and attractiveness. Applied Cognitive Psychology, 19, 587 601. doi:10.100/acp.1098 Craik, F. I. M. (00). Levels of processing: Past, present... and future? Memory, 10, 305 318. doi:10.1080/096581044000135

Stable aesthetic standards delusion 1013 Craik, F. I. M., & Lockhart, R. S. (197). Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behavior, 11, 671 684. doi:10.1016/s00-5371(7)80001-x Elias, M., & Cotte, P. (008). Multispectral camera and radiative transfer equation used to depict Leonardo s sfumato in Mona Lisa. Applied Optics, 47, 146 154. doi:10.1364/ao.47.00146 Faerber, S. J., Leder, H., Gerger, G., & Carbon, C.-C. (010). Priming semantic concepts affects the dynamics of aesthetic appreciation. Acta Psychologica, 135, 191 00. doi:10.1016/j.actpsy.010.06.006 Fechner, G. T. (1876). Vorschule der Ästhetik [Introduction to aesthetics]. Leipzig: Breitkopf & Härtel. Gregory, R. L. (1997). Knowledge in perception and illusion. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences, 35, 111 117. doi:10.1098/rstb.1997.0095 Lockhart, R. S., & Craik, F. I. M. (1990). Levels of processing: a retrospective commentary on a framework for memory research. Canadian Journal of Psychology, 44, 87 1. Martindale, C. (1990). The clockwork muse: The predictability of artistic change. New York: Basic Books. Muth, C., & Carbon, C.-C. (013). The Aesthetic Aha: On the pleasure of having insights into Gestalt. Acta Psychologica, 144, 5 30. doi:10.1016/j.actpsy.013.05.001 Ruhemann, H. (1961). Leonardo s use of sfumato. British Journal of Aesthetics, 1, 31 37. doi:10.1093/ bjaesthetics/1.4.31 Vasari, G. (1568/008). The lives of the artists (translated with introduction and notes by J. Conaway Bondanella & P. Bondanella). New York: Oxford University Press. Wolz, S., & Carbon, C.-C. (in press). What s wrong with an artfake? Cognitive and emotional variables influenced by authenticity information of artworks. Leonardo. Zajonc, R. B. (1968). Attitudinal effects of mere exposure. Journal of Personality and Social Psychology, 9, 1 7. doi:10.1037/h005848 Zöllner, F., & Nathan, J. (011). Leonardo da Vinci: Sämtliche Gemälde und Zeichnungen [Leonardo da Vinci: the complete paintings and drawings] (Vol. ). Köln: Taschen.