Exploring the Role of Complexity, Content and Individual Differences in Aesthetic Reactions to Semi-Abstract Art Photographs

In: Art & Perception
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  • 1 Laboratory of Experimental Psychology, Department of Brain and Cognition, KU Leuven (University of Leuven, Belgium
  • 2 SLAC, Academy for Visual Arts, Belgium

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Artistic photography is an interesting, but often overlooked, medium within the field of empirical aesthetics. Grounded in an art–science collaboration with art photographer Dominique Genin, this project focused on the relationship between the complexity of a photograph and its aesthetic appeal (beauty, pleasantness, interest). An artistic series of 24 semi-abstract photographs that play with multiple layers, recognisability vs unrecognizability and complexity was specifically created and selected for the project. A large-scale online study with a broad range of individuals (n = 453, varying in age, gender and art expertise) was set up. Exploratory data-driven analyses revealed two clusters of individuals, who responded differently to the photographs. Despite the semi-abstract nature of the photographs, differences seemed to be driven more consistently by the ‘content’ of the photograph than by its complexity levels. No consistent differences were found between clusters in age, gender or art expertise. Together, these results highlight the importance of exploratory, data-driven work in empirical aesthetics to complement and nuance findings from hypotheses-driven studies, as they allow to go further than a priori assumptions, to explore underlying clusters of participants with different response patterns, and to point towards new venues for future research. Data and code for the analyses reported in this article can be found at https://osf.io/2fws6/.

  • Adkins , O. C. and Norman , J. F. (2016). The visual aesthetics of snowflakes, Perception 45, 13041319. doi: 10.1177/2041669516661122.

    • Search Google Scholar
    • Export Citation
  • Augustin , D. , Wagemans , J. and Carbon , C.-C. (2012). All is beautiful? Generality vs. specificity of word usage in visual aesthetics, Acta Psychol. 139, 187201. doi: 10.1016/j.actpsy.2011.10.004.

    • Search Google Scholar
    • Export Citation
  • Armstrong , T. and Detweiler-Bedell , B. (2008). Beauty as an emotion: The exhilarating prospect of mastering a challenging world, Rev. Gen. Psychol. 12, 305329. doi: 10.1037/a0012558.

    • Search Google Scholar
    • Export Citation
  • Axelsson , Ö. (2007a). Individual differences in preferences to photographs, Psychol. Aesthet. Creat. Arts 1, 6172. doi: 10.1037/1931-3896.1.2.61.

    • Search Google Scholar
    • Export Citation
  • Axelsson , Ö. (2007b). Towards a psychology of photography: Dimensions underlying aesthetic appeal of photographs, Percept. Motor. Skill. 105, 411434. doi: 10.2466/PMS.105.6.411-434.

    • Search Google Scholar
    • Export Citation
  • Bates , D. , Mächler , M. , Bolker , B. and Walker , S. (2014). Fitting linear mixed-effects models using lme4, J. Stat. Softw. 67, 148. doi: 10.18637/jss.v067.i01.

    • Search Google Scholar
    • Export Citation
  • Berlyne , D. E. (1971). Aesthetics and Psychobiology, Appleton-Century-Crofts, New York, NY, USA.

  • Berlyne , D. E. , Ogilvie , J. C. and Parham , L. C. (1968). The dimensionality of visual complexity, interestingness, and pleasingness, Can. J. Psych. 22, 376387. doi: 10.1037/h0082777.

    • Search Google Scholar
    • Export Citation
  • Birkhoff , G. D. (1932). Aesthetic Measure, Harvard University Press, Cambridge, MA, USA.

  • Bosch , A. , Zisserman , A. and Munoz , X. (2007). Representing shape with a spatial pyramid kernel, CIVR ‘07 — Proc. 6th ACM Int. Conf. Image Video Retr. , Amsterdam, Netherlands, pp. 401408.

    • Search Google Scholar
    • Export Citation
  • Bourdieu , P. (1984). Distinction: A Social Critique of the Judgement of Taste , Harvard University Press, Cambridge, MA, USA.

  • Braun , D. M. [David Max Braun]. (2008, October 21). Sam Abell Cowboy Photo [Video file]. Retrieved from https://www.youtube.com/watch?v=ph7sdr44QRc.

    • Search Google Scholar
    • Export Citation
  • Braun , J. , Amirshahi , S. A. , Denzler , J. and Redies , C. (2013). Statistical image properties of print advertisements, visual artworks and images of architecture, Front. Psychol. 4, 808. doi: 10.3389/fpsyg.2013.00808.

    • Search Google Scholar
    • Export Citation
  • Carbon , C.-C. (2019). Empirical approaches to studying art experience, J. Percept. Imaging, 2, 10501-1–10501-7–7. doi: 10.2352/J.Percept.Imaging.2019.2.1.010501.

    • Search Google Scholar
    • Export Citation
  • Chamberlain , R. , Mullin , C. , Scheerlinck , B. and Wagemans , J. (2017). Putting the art in artificial : Aesthetic responses to computer-generated art, Psychol. Aesthet. Creat. Arts 12, 177192. doi: 10.1037/aca0000136.

    • Search Google Scholar
    • Export Citation
  • Chatterjee , A. , Widick , P. , Sternschein , R. , Smith , W. B. and Bromberger , B. (2010). The assessment of art attributes, Empir. Stud. Arts 28, 207222. doi: 10.2190/EM.28.2.f.

    • Search Google Scholar
    • Export Citation
  • Dalal , N. and Triggs , B. (2005). Histograms of oriented gradients for human detection, CVPR ‘05 — Int. Conf. Comp. Vis. Pattern Recogn., San Diego, CA, USA, pp. 886893.

    • Search Google Scholar
    • Export Citation
  • Eckblad , G. (1981). Assimilation resistance and affective response in problem solving, Scand. J. Psychol. 22, 116. doi: 10.1111/j.1467-9450.1981.tb00372.x.

    • Search Google Scholar
    • Export Citation
  • Estes , W. K. (1956). The problem of inference from curves based on group data, Psychol. Bull. 53, 134140. doi: 10.1037/h0045156.

  • Eysenck , H. J. (1941). The empirical determination of an aesthetic formula, Psychol . Rev 48, 8392. doi: 10.1037/h0062483.

  • Fechner , G. T. (1876). Vorschule der Aesthetik, Breitkopf and Härtel, Leipzig, Germany.

  • Foytik , L. R. , Mullennix , J. W. , Chan , C. H. , Dragun , B. R. , Maloney , M. and Polaski , L. (2013). Automaticity and the processing of artistic photographs, Empir. Stud. Arts 31, 145171.

    • Search Google Scholar
    • Export Citation
  • Genin (2019). Art| Belgium| Dominique Genin Photography. Retrieved from https://www.dominiquegenin.com/.

  • Gordon , J. and Gridley , M. C. (2013). Musical preferences as a function of stimulus complexity of piano jazz, Creat. Res. J. 25, 143146. doi: 10.1080/10400419.2013.752303.

    • Search Google Scholar
    • Export Citation
  • Graf , L. K. and Landwehr , J. R. (2015). A dual-process perspective on fluency-based aesthetics: the pleasure–interest model of aesthetic liking, Pers. Soc. Psychol. Rev. 19, 395410. doi: 10.1177/1088868315574978.

    • Search Google Scholar
    • Export Citation
  • Graf , L. K. M. and Landwehr , J. R. (2017). Aesthetic pleasure versus aesthetic interest: The two routes to aesthetic liking, Front. Psychol. 8, 15. doi: 10.3389/ fpsyg.2017.00015.

    • Search Google Scholar
    • Export Citation
  • Güçlütürk , Y. , Jacobs , R. H. A. H. and van Lier , R. (2016). Liking versus complexity: Decomposing the inverted U-curve, Front. Hum. Neurosci. 10, 112. doi: 10.3389/fnhum.2016.00112.

    • Search Google Scholar
    • Export Citation
  • Hennig , C. (2019). fpc: Flexible Procedures for Clustering . R package version 2.23. Retrieved from: https://CRAN.R-project.org/package=fpc.

    • Search Google Scholar
    • Export Citation
  • Imamoglu , Ç. (2000). Complexity, liking and familiarity: Architecture and non-architecture Turkish students’ assessments of traditional and modern house facades. J. Environ. Psychol. 20, 516. doi: 10.1006/jevp.1999.0155.

    • Search Google Scholar
    • Export Citation
  • Jacobsen , T. and Beudt , S. (2017). Stability and variability in aesthetic experience: A review. Front. Psychol. 8, 143. doi: 10.3389/fpsyg.2017.00143.

    • Search Google Scholar
    • Export Citation
  • Jacobsen , T. and Höfel , L. (2002). Aesthetic judgments of novel graphic patterns: Analyses of individual judgments Percept . Mot. Skills 95 , 755766. doi: 10.2466/pms.2002.95.3.755.

    • Search Google Scholar
    • Export Citation
  • Kaufman , L. and Rousseeuw , P. J. (1990). Finding groups in data: An introduction to cluster analysis , John Wiley and Sons, New York, NY, USA.

    • Search Google Scholar
    • Export Citation
  • Krupinski , A. and Locher , P. (1988). Skin conductance and aesthetic evaluative responses to nonrepresentational works of art varying in symmetry, Bull. Psychon. Soc. 26, 355358. doi: 10.3758/BF03337681.

    • Search Google Scholar
    • Export Citation
  • Makin , A. D. J. (2017). The gap between aesthetic science and aesthetic experience, J. Conscious. Stud. 24, 184213.

  • Marin , M. M. , Lampatz , A. , Wandl , M. and Leder , H. (2016). Berlyne revisited: evidence for the multifaceted nature of hedonic tone in the appreciation of paintings and music, Front. Hum. Neurosci. 10, 536. doi: 10.3389/fnhum.2016.00536.

    • Search Google Scholar
    • Export Citation
  • McManus , I. C. and Stöver , K. (2014). “Mute, motionless, variegated rectangles”: aesthetics and photography, in: Tinio P. P. L. and Smith J. K. (Eds.), The Cambridge Handbook of the Psychology of Aesthetics and the Arts , pp. 243276. Cambridge University Press, Cambridge, UK. doi: 10.1017/CBO9781139207058.014.

    • Search Google Scholar
    • Export Citation
  • McManus , I. C. , Stöver , K. and Kim , D. (2011). Arnheim’s gestalt theory of visual balance: Examining the compositional structure of art photographs and abstract images, i-Perception 2, 615647. doi: 10.1068/i0445aap.

    • Search Google Scholar
    • Export Citation
  • Muth , C. , Hesslinger , V. M. and Carbon , C.-C. (2015). The appeal of challenge in the perception of art: How ambiguity, solvability of ambiguity and the opportunity for insight affect appreciation, Psychol. Aesthet. Creat. Arts 9, 206216. doi: 10.1037/a0038814.

    • Search Google Scholar
    • Export Citation
  • Nadal , M. , Munar , E. , Marty , G. and Cela-Conde , C. J. (2010). Visual complexity and beauty appreciation: Explaining the divergence of results, Empir. Stud. Arts 28, 173191. doi: 10.2190/EM.28.2.d.

    • Search Google Scholar
    • Export Citation
  • Core Team R (2019). R: A language and environment for statistical computing , R Foundation for Statistical Computing, Vienna, Austria. Retrieved from: https://www.R-project.org/.

    • Search Google Scholar
    • Export Citation
  • Reber , R. , Schwarz , N. and Winkielman , P. (2004). Processing fluency and aesthetic pleasure: Is beauty in the perceiver’s processing experience? Pers. Soc. Psychol. Rev. 8, 364382. doi: 10.1207/s15327957pspr0804_3.

    • Search Google Scholar
    • Export Citation
  • Redies , C. , Amirshahi , S. A. , Koch , M. and Denzler , J. (2012) PHOG-derived aesthetic measures applied to color photographs of artworks, natural scenes and objects, in: Computer Vision – ECCV 2012. Workshops and Demonstrations. ECCV 2012. Lecture Notes in Computer Science , Vol. 7583, Fusiello A. , Murino V. and Cucchiara R. (Eds), pp. 522531, Springer, Berlin, Germany.

    • Search Google Scholar
    • Export Citation
  • Romero , J. , Machado , P. , Carballal , A. and Santos , A. (2012). Using complexity estimates in aesthetic image classification, J. Math. Arts 6, 125136. doi: 10.1080/17513472.2012.679514.

    • Search Google Scholar
    • Export Citation
  • Rousseeuw , P. J. (1987). Silhouettes: A graphical aid to the interpretation and validation of cluster analysis, J. Comput. Appl. Math. 20, 5365. doi: 10.1016/0377-0427(87)90125-7.

    • Search Google Scholar
    • Export Citation
  • Silvia , P. J. (2005). Cognitive appraisals and interest in visual art: Exploring an appraisal theory of aesthetic emotions, Empir. Stud. Arts 23, 119133. doi: 10.2190/12AV-AH2P-MCEH-289E.

    • Search Google Scholar
    • Export Citation
  • Spehar , B. , Walker , N. and Taylor , R. P. (2016). Taxonomy of individual variations in aesthetic responses to fractal patterns, Front. Hum. Neurosci. 10, 350. doi: 10.3389/fnhum.2016.00350.

    • Search Google Scholar
    • Export Citation
  • Sun , L. , Yamasaki , T. and Aizawa , K. (2015). Relationship between visual complexity and aesthetics: Application to beauty prediction of photos, in: Computer Vision — ECCV 2014 Workshops. ECCV 2014. Lecture Notes in Computer Science , Vol. 8925, Agapito L. , Bronstein M. and Rother C. (Eds), pp. 2034, Springer, Cham, Switzerland.10.1007/978-3-319-16199-0.

    • Search Google Scholar
    • Export Citation
  • Szarkowski , J. (n.d.). Retrieved from https://www.photoquotes.com/showquotes.aspx?id=75&name=Szarkowski,John.

  • Tinio , P. P. L. , Leder , H. and Strasser , M. (2011). Image quality and the aesthetic judgment of photographs: Contrast, sharpness, and grain teased apart and put together, Psychol. Aesthet. Creat. Arts 5, 165176. doi: 10.1037/a0019542.

    • Search Google Scholar
    • Export Citation
  • Van Geert , E. and Wagemans , J. (in press a). Order, complexity, and aesthetic appreciation. Psychol. Aesthet. Creat. Arts. doi: 10.1037/aca0000224.

    • Search Google Scholar
    • Export Citation
  • Van Geert , E. and Wagemans , J. (in press b). Order, complexity, and aesthetic preferences for neatly organized compositions, Psychol. Aesthet. Creat. Arts. doi: 10.1037/aca0000276.

    • Search Google Scholar
    • Export Citation
  • Wagemans , J. (2011). Towards a new kind of experimental psycho-aesthetics? Reflections on the Parallellepipeda project, i-Perception 2, 648678. doi: 10.1068/i0464aap.

    • Search Google Scholar
    • Export Citation

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