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Eye Tracking Based Objective Evaluation of Visual Aesthetics: A Review

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Advances in Ergonomics in Design (AHFE 2018)

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Abstract

The process of having an aesthetic experience is a very complex cognitive phenomenon. Human perception is governed by vision, and visual perception is guided by the attractiveness of stimuli. Visual information covers more than half of the sensory information during an aesthetic experience. It reflects the higher dependency of human perceptibility/cognition on the eye compared to other sensory channels. Thus, eye tracker based evaluation of visual scanning behaviour has emerged as an important technique of aesthetic appraisal in recent years. There is a constant argument over the years that an aesthetic experience of the subconscious brain can be studied from the visual scanning behaviour of the human eye. Hence, the current paper aims to review the scope of eye tracking as an objective way to analyze the visual aesthetics. Following extensive literature search on the topics pertaining to aesthetic perception; aesthetic experience; objective measures of aesthetics; visual exploration; eye tracking variables and its correlation with human behaviour etc., were segregated and presented as systematic manner. The present paper shows the potentiality of the eye tracking research considering the past implications, recent developments, and relevant future growth in the field of visual aesthetic evaluation.

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References

  1. Douchova, V., Nesetril, J.: Fragment of aesthetic processing. In: Proceedings of Contributed Papers, WDS 2009, pp. 7–10 (2009)

    Google Scholar 

  2. Lindgaard, G., Dudek, C., Sen, D., Sumegi, L., Noonan, P.: An exploration of relations between visual appeal, trustworthiness and perceived usability of homepages. ACM Trans. Comput. Interact. 18, 1–30 (2011)

    Article  Google Scholar 

  3. Ngo, D.C.L., Samsudin, A., Abdullah, R.: Aesthetic measures for assessing graphic screens. J. Inf. Sci. Eng. 16, 97–116 (2000)

    Google Scholar 

  4. Moshagen, M., Thielsch, M.T.: Facets of visual aesthetics (2010)

    Article  Google Scholar 

  5. Fenner, D.E.W.: Introducing Aesthetics. Greenwood Publishing Group (2003)

    Google Scholar 

  6. Osborne, H.: Aesthetics and art theory: an historical introduction (1968). https://books.google.com/books/about/Aesthetics_and_art_theory.html?id=83swfIXof_gC&pgis=1

  7. Borev, Y.: Aesthetics: A Textbook (1981)

    Google Scholar 

  8. Lavie, T., Tractinsky, N.: Assessing dimensions of perceived visual aesthetics of web sites. Int. J. Hum Comput Stud. 60, 269–298 (2004)

    Article  Google Scholar 

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

    Google Scholar 

  10. Moles, A.: Information Theory and Esthetic Perception (1968). Cohen, J.E. (trans.)

    Google Scholar 

  11. Klütsch, C.: Information aesthetics and the Stuttgart school. In: Mainframe Experimentalism: Early Computing and the Foundations of the Digital Arts, pp. 65–89 (2012)

    Google Scholar 

  12. Berlyne, D.E.: Studies in the new experimental aesthetics: steps toward an objective psychology of aesthetic appreciation (1974)

    Google Scholar 

  13. Marković, S.: Aesthetic experience and the emotional content of paintings. Psihologija 43, 47–64 (2010)

    Article  Google Scholar 

  14. Leder, H.: A model of aesthetics appreciation and aesthetic judgment, pp. 489–508 (2004)

    Google Scholar 

  15. Nadal, M., Munar, E., Capó, M.À., Rosselló, J., Cela-Conde, C.J.: Towards a framework for the study of the neural correlates of aesthetic preference. Spat. Vis. 21, 379–396 (2008)

    Article  Google Scholar 

  16. Marković, S.: Components of aesthetic experience: aesthetic fascination, aesthetic appraisal, and aesthetic emotion. Iperception 3, 1–17 (2012)

    Google Scholar 

  17. Winkielman, P., Cacioppo, J.T.: Mind at ease puts a smile on the face: Psychophysiological evidence that processing facilitation elicits positive affect. J. Pers. Soc. Psychol. 81, 989–1000 (2001)

    Article  Google Scholar 

  18. Addison, J.: On the pleasures of the imagination. In: Art Theory, 1648–1815. An Anthology of Changing Ideas, pp. 382–388 (2003)

    Google Scholar 

  19. Gombrich, E.H.: Art and illusion. In: Callaloo, p. 331 (1960)

    Google Scholar 

  20. Shimamura, A.P., Palmer, S.E.: Aesthetic Science: Connecting Minds, Brains, and Experience (2011)

    Google Scholar 

  21. Parsons, M.J.: How we understand art: a cognitive developmental account of aesthetic experience (1987)

    Google Scholar 

  22. Ognjenovic, P.: Processing of aesthetic information. Empir. Stud. Arts. 9, 1–9 (1991)

    Article  Google Scholar 

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

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

    Chapter  Google Scholar 

  25. 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 

  26. Locher, P., Krupinski, E.A., Mello-Thoms, C., Nodine, C.F.: Visual interest in pictorial art during an aesthetic experience. Spat. Vis. 21, 55–77 (2008)

    Article  Google Scholar 

  27. Kapoula, Z., Daunys, G., Herbez, O., Yang, Q.: Effect of title on eye-movement exploration of cubist paintings by Fernand Léger. Perception 38, 479–491 (2009)

    Article  Google Scholar 

  28. Rayner, K.: Eye movements in reading and information processing: 20 years of research. Psychol. Bull. 124, 372–422 (1998)

    Article  Google Scholar 

  29. Ikehara, C.S., Crosby, M.E.: Assessing cognitive load with physiological sensors. In: Proceedings 38th Annual Hawaii International Conference on System 0, p. 295a (2005)

    Google Scholar 

  30. Djamasbi, S., Samani, A., Mehta, D.: Eye movements, perceptions, and performance. In: Proceedings of the eighteenth Americas Conference on Information Systems, pp. 1–7 (2012)

    Google Scholar 

  31. Levy-Schoen, A.: Eye movements and vision. Neuropsychologia 6, 389–390 (1968)

    Article  Google Scholar 

  32. Buswell, G.T.: How people look at pictures. Psychol. Bull. 33, 142–143 (1936)

    Article  Google Scholar 

  33. Gibson, J.J.: The perception of the visual world. Psychol. Bull. 48, 1–259 (1950)

    Google Scholar 

  34. Noton, D., Stark, L.: Scanpaths in eye movements during pattern perception. Science 171, 308–311 (1971)

    Article  Google Scholar 

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

    Article  Google Scholar 

  36. Locher, P.: The usefulness of eye movement recordings to subject an aesthetic episode with visual art to empirical scrutiny. Psychol. Sci. 48, 106–114 (2006)

    Google Scholar 

  37. Hekkert, P., Leder, H.: Product aesthetics. Prod. Exp., 259–285 (2008)

    Google Scholar 

  38. Birkin, G.: Aesthetic complexity : practice and perception in art & design, p. 327, October 2010

    Google Scholar 

  39. 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 

  40. Spinks, J., Mortimer, D.: Lost in the crowd? Using eye-tracking to investigate the effect of complexity on attribute non-attendance in discrete choice experiments clinical decision-making, knowledge support systems, and theory. BMC Med. Inform. Decis. Mak. 16, 1–13 (2016)

    Google Scholar 

  41. 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 

  42. 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 

  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. 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 

  45. 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 

  46. 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 

  47. Graham, D.J., Redies, C.: Statistical regularities in art: Relations with visual coding and perception. Vision. Res. 50, 1503–1509 (2010)

    Article  Google Scholar 

  48. Le Meur, O., Chevet, J.-C.: Relevance of a feed-forward model of visual attention for goal-oriented and free-viewing tasks. IEEE Trans. Image Process. 19, 2801–2813 (2010)

    Article  MathSciNet  Google Scholar 

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

    Article  Google Scholar 

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Correspondence to Bighna Kalyan Nayak .

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Nayak, B.K., Karmakar, S. (2019). Eye Tracking Based Objective Evaluation of Visual Aesthetics: A Review. In: Rebelo, F., Soares, M. (eds) Advances in Ergonomics in Design. AHFE 2018. Advances in Intelligent Systems and Computing, vol 777. Springer, Cham. https://doi.org/10.1007/978-3-319-94706-8_41

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  • DOI: https://doi.org/10.1007/978-3-319-94706-8_41

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