Skip to main content

A Review of Eye Tracking Studies Related to Visual Aesthetic Experience: A Bottom-Up Approach

  • Conference paper
  • First Online:
Research into Design for a Connected World

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 135))

Abstract

In the context of visual aesthetics, a bottom-up approach deals with the features of the visual stimuli such as form, texture, color, novelty, complexity, composition, contrast, and order. These features influence subject’s perception during an aesthetic experience. As per philosophy, both subject and object should be present to have an aesthetic experience. Though there are several attempts reported by the researchers to evaluate visual aesthetics using biometric technologies, eye tracking has been found to be an efficient technique to investigate bottom-up aesthetic processes that operate with both object and subject. As reported by earlier researchers, the eye tracking-based studies convey meaningful visual aesthetic properties from visual exploration patterns of the subjects and have been reviewed thoroughly in the present paper. Different types of human visual behavior during aesthetic visual exploration (specific and diversive) have also been mentioned with citation of earlier works. Most of the reported eye tracking-based researches are limited to saliency study and have used unstructured variables to evaluate visual aesthetics. It has been observed from the available literature that the level of complexity and quality of composition of the visuals may be considered as the well-accepted measures to judge the aesthetic experience. Association of various sub-variables of composition (symmetry, balance, and proportion) and complexity (number of elements, variety of elements, and order of elements) with different eye tracking variables (fixation frequency, fixation duration, and first fixation) has already been reported by the researchers in a discrete manner. Hence, there is a need for the future research to establish correlations between various eye tracking variables and the measures of aesthetics with the ultimate aim of objective-measurement of visual aesthetics.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Shelley, J.: The concept of the aesthetic. https://plato.stanford.edu/cgi-bin/encyclopedia/archinfo.cgi?entry=aesthetic-concept (2017)

  2. Kant, I.: Critique of Judgment. Hackett Publishing Company (1790)

    Google Scholar 

  3. Mcclelland, K.A.: Aesthetic experience and artful conduct. Educ. Cult. 21, 44–62 (2005)

    Google Scholar 

  4. Csikszentmihalyi, M.: Beyond Boredom and Anxiety. Jossey Bass (1975)

    Google Scholar 

  5. Maslow, A.H.: Religions, Values, and Peak-Experiences (1964)

    Google Scholar 

  6. Tellegen, A., Atkinson, G.: Openness to absorbing and self-altering experiences (“absorption”), a trait related to hypnotic susceptibility. J. Abnorm. Psychol. 83, 268 (1974)

    Article  Google Scholar 

  7. Leder, H., Belke, B., Oeberst, A., Augustin, D.: A model of aesthetics appreciation and aesthetic judgment. Br. J. Psychol. 95, 489–508 (2004)

    Article  Google Scholar 

  8. Apter, M.J.: Reversal theory, cognitive synergy and the arts. Adv. Psychol. 19, 411–426 (1984)

    Article  Google Scholar 

  9. Cupchik, G.C., Vartanian, O., Crawley, A., Mikulis, D.J.: Viewing artworks: contributions of cognitive control and perceptual facilitation to aesthetic experience. Brain Cogn. 70, 84–91 (2009)

    Article  Google Scholar 

  10. Massaro, D., Savazzi, F., Di Dio, C., Freedberg, D., Gallese, V., Gilli, G., Marchetti, A.: When art moves the eyes: a behavioral and eye-tracking study. PLoS One 7 (2012)

    Article  Google Scholar 

  11. Hekkert, P., Van Wieringen, P.C.W.: The impact of level of expertise on the evaluation of original and altered versions of post-impressionistic paintings. Acta Psychol. (Amst) 94, 117–131 (1996)

    Article  Google Scholar 

  12. Berlyne, D.E.: Aesthetics and Psychobiology (1971)

    Google Scholar 

  13. Boselie, F., Leeuwenberg, E.: Birkhoff revisited: beauty as a function of effect and means. Am. J. Psychol. 98, 1–39 (1985)

    Article  Google Scholar 

  14. Hekkert, P., Leder, H.: Product aesthetics. In: Product Experience, pp. 259–285 (2008)

    Chapter  Google Scholar 

  15. Ramachandran, V.S., Hirstein, W.: The science of art: a neurological theory of aesthetic experience. J. Conscious. Stud. 6, 15–51 (1999)

    Google Scholar 

  16. Baxter, M.: Product design: practical methods for the systematic development of new products (1995)

    Google Scholar 

  17. Wallraven, C., Cunningham, D., Rigau, J., Feixas, M., Sbert, M.: Aesthetic appraisal of art—from eye movements to computers. Comput. Aesthet. Graph. Vis. Imaging, 137–144 (2009)

    Google Scholar 

  18. Graham, D.J., Friedenberg, J.D., McCandless, C.H., Rockmore, D.N.: Preference for art: similarity, statistics, and selling price. Hum. Vis. Electron. Imaging. (2010)

    Google Scholar 

  19. Gombrich, E.H.: Art and Illusion (1960)

    Google Scholar 

  20. Adelson, E.H.: Perceptual organization and the judgement of brightness. Nature 262, 2042–2044 (1993)

    Google Scholar 

  21. Albright, T.D.: On the perception of probable things: neural substrates of associative memory, imagery, and perception. Neuron 74, 227–245 (2012)

    Article  Google Scholar 

  22. Chatterjee, A.: Prospects for a cognitive neuroscience of visual aesthetics. http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Prospects+for+a+cognitive+neuroscience+of+visual+aesthetics#0 (2004)

  23. Santayana, G.: The Sense of Beauty: Being the Outlines of Aesthetic Theory (1955)

    Google Scholar 

  24. Mackworth, N.H., Morandi, A.J.: The gaze selects information details within picutres. Percept. Psychophys. 2, 547–552 (1967)

    Article  Google Scholar 

  25. Antes, J.R.: The time course of picture viewing. J. Exp. Psychol. 103, 62–70 (1974)

    Article  Google Scholar 

  26. Molnar, F.: About the role of visual exploration in aesthetics. In: Advances in Intrinsic Motivation and Aesthetics, pp. 385–413 (1981)

    Chapter  Google Scholar 

  27. Yarbus, A.L.: Eye Movements and Vision (1967)

    Chapter  Google Scholar 

  28. Kaufman, L., Richards, W.: Spontaneous fixation tendencies for visual forms. Percept. Psychophys. 5, 85–88 (1969)

    Article  Google Scholar 

  29. Mould, D., Mandryk, R.L., Li, H.: Emotional response and visual attention to non-photorealistic images. Comput. Graph. 36, 658–672 (2012)

    Article  Google Scholar 

  30. Park, H., Lee, S., Lee, M., Chang, M.S., Kwak, H.W.: Using eye movement data to infer human behavioral intentions. Comput. Human Behav. 63, 796–804 (2016)

    Article  Google Scholar 

  31. Locher, P.J.: The contribution of eye-movement research to an understanding of the nature of pictorial balance perception: a review of the literature, http://journals.sagepub.com/doi/10.2190/D77M-3NU4-DQ88-H1QG (1996)

  32. Khalighy, S., Green, G., Scheepers, C., Whittet, C.: Quantifying the qualities of aesthetics in product design using eye-tracking technology. Int. J. Ind. Ergon. 49, 31–43 (2015)

    Article  Google Scholar 

  33. Hochberg, J., McAlister, E.: A quantitative approach, to figural “goodness”. J. Exp. Psychol. 46, 361–364 (1953)

    Article  Google Scholar 

  34. Birkin, G.: Aesthetic complexity : practice and perception in art & design, http://aestheticcomplexity.files.wordpress.com/2010/10/guy-birkin-2010-aesthetic-complexity4.pdf (2010)

  35. Berlyne, D.E.: Curiosity and learning. Motiv. Emot. 2, 97–175 (1978)

    Article  Google Scholar 

  36. Martindale, C., Moore, K., Borkum, J.: Aesthetic preference : anomalous findings for berlyne’s psychobiological theory. Am. J. Psychol. 103, 53–80 (1990)

    Article  Google Scholar 

  37. Roberts, M.N.: Complexity and Aesthetic Preference for Diverse Visual Stimuli (2007)

    Google Scholar 

  38. Birkhoff, G.D.: Aesthetic Measure (1933)

    Google Scholar 

  39. Rosenfeld, A.: Progress in picture processing: 1969–71. ACM Comput. Surv. 5, 81–108 (1973)

    Article  Google Scholar 

  40. Mühlenbeck, C., Liebal, K., Pritsch, C., Jacobsen, T.: Differences in the visual perception of symmetric patterns in Orangutans (Pongo pygmaeus abelii) and two human cultural groups: a comparative eye-tracking study. Front. Psychol. 7, 1–14 (2016)

    Article  Google Scholar 

  41. Leuthold, S., Schmutz, P., Bargas-Avila, J.A., Tuch, A.N., Opwis, K.: Vertical versus dynamic menus on the world wide web: eye tracking study measuring the influence of menu design and task complexity on user performance and subjective preference. Comput. Human Behav. 27, 459–472 (2011)

    Article  Google Scholar 

  42. Goldberg, J.H.: Measuring software screen complexity: relating eye tracking, emotional valence, and subjective ratings. Int. J. Hum. Comput. Interact. 30, 518–532 (2014)

    Article  Google Scholar 

  43. Wang, Q., Yang, S., Liu, M., Cao, Z., Ma, Q.: An eye-tracking study of website complexity from cognitive load perspective. Decis. Support Syst. 62, 1–10 (2014)

    Article  Google Scholar 

  44. Henderson, J.M., Weeks, P.A., Andrew, H.: The effects of semantic consistency on eye movements during complex scene viewing. J. Exp. Psychol. Hum. Percept. Perform. 25, 210–228 (1999)

    Article  Google Scholar 

  45. Nodine, C.F., Mcginnis, J.J.: Artistic style, compositional design, and visual scanning. Vis. Arts Res. 9, 1–9 (1983)

    Google Scholar 

  46. Locher, P., Nodine, C.: The perceptual value of symmetry. Comput. Math. with Appl. 17, 475–484 (1989)

    Article  MathSciNet  Google Scholar 

  47. Nodine, C.F., Locher, P.J., Krupinski, E.A.: The role of formal art training on perception and aesthetic judgment of art compositions. Leonardo 26, 219 (1993)

    Article  Google Scholar 

  48. Nodine, C.F.: Compositional design as a perceptual determinant of aesthetic judgment. Rev. Res. Vis. Arts Educ. 15, 43–54 (1982)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bighna Kalyan Nayak .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nayak, B.K., Karmakar, S. (2019). A Review of Eye Tracking Studies Related to Visual Aesthetic Experience: A Bottom-Up Approach. In: Chakrabarti, A. (eds) Research into Design for a Connected World. Smart Innovation, Systems and Technologies, vol 135. Springer, Singapore. https://doi.org/10.1007/978-981-13-5977-4_33

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-5977-4_33

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5976-7

  • Online ISBN: 978-981-13-5977-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics