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2021 | OriginalPaper | Chapter

“What Is Human?” A Turing Test for Artistic Creativity

Authors : Antonio Daniele, Caroline Di Bernardi Luft, Nick Bryan-Kinns

Published in: Artificial Intelligence in Music, Sound, Art and Design

Publisher: Springer International Publishing

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Abstract

This paper presents a study conducted in naturalistic setting with data collected from an interactive art installation. The audience is challenged in a Turing Test for artistic creativity involving recognising human-made versus AI-generated drawing strokes. In most cases, people were able to differentiate human-made strokes above chance. An analysis conducted on the images at the pixel level shows a significant difference between the symmetry of the AI-generated strokes and the human-made ones. However we argue that this feature alone was not key for the differentiation. Further behavioural analysis indicates that people judging more quickly were able to differentiate human-made strokes significantly better than the slower ones. We point to theories of embodiment as a possible explanation of our results.

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Throughout the paper, the first author will also be referred to as the “artist”.

Berger, I., Shamir, A., Mahler, M., Carter, E., Hodgins, J.: Style and abstraction in portrait sketching. ACM Trans. Graph. 32(4), 1–12 (2013)CrossRef

Bishop, M., Boden, M.A.: The Turing test and artistic creativity. Kybernetes 39(3), 409–413 (2010)

Bowers, K.S., Regehr, G., Balthazard, C., Parker, K.: Intuition in the context of discovery. Cogn. Psychol. 22(1), 72–110 (1990)CrossRef

Breton, A.: Manifestoes of Surrealism, vol. 182. University of Michigan Press, Ann Arbor (1969)

Buk, A.: The mirror neuron system and embodied simulation: clinical implications for art therapists working with trauma survivors. Arts Psychother. 36(2), 61–74 (2009)CrossRef

Burns, R.C., Kaufman, S.: Kinetic Family Drawings (KFD), An introduction to understanding children through kinetic drawings. Brunner/Mazel (1970)

Casati, R., Pignocchi, A.: Communication advantages of line drawings. Pragmalingüística, pp. 000–000 (2007)

Chamberlain, R., Mullin, C., Scheerlinck, B., Wagemans, J.: Putting the art in artificial: aesthetic responses to computer-generated art. Psychol. Aesth. Creat. Arts 12(2), 177 (2018)CrossRef

Colton, S.: The painting fool: Stories from building an automated painter. In: Computers and Creativity, pp. 3–38. Springer (2012)

10.

Crowther, P.: What Drawing and Painting Really Mean: The Phenomenology of Image and Gesture. Taylor and Francis, London (2017)

11.

Daniele, A., Song, Y.: Artistic assemblage. In: xCoAx 2019: Proceedings of the Seventh Conference on Computation, Communication, Aesthetics and X. pp. 240–255. xCoAx 2019 (2019)

12.

Daniele, A., Song, Y.Z.: Ai+Art=Human. In: Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society. pp. 155–161 (2019)

13.

Das, A., Yang, Y., Hospedales, T., Xiang, T., Song, Y.Z.: Béziersketch: a generative model for scalable vector sketches. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.M. (eds.) Computer Vision - ECCV 2020, pp. 632–647. Springer International Publishing, Cham (2020)CrossRef

14.

DeLoache, J.S.: Becoming symbol-minded. Trends Cogn. Sci. 8(2), 66–70 (2004)CrossRef

15.

Elgammal, A., Liu, B., Elhoseiny, M., Mazzone, M.: Can: Creative Adversarial Networks generating “art” by learning about styles and deviating from style norms. In: 8th International Conference on Computational Creativity, ICCC 2017. Georgia Institute of Technology (2017)

16.

Fifel, K.: Readiness potential and neuronal determinism: new insights on Libet experiment. J. Neurosci. 38(4), 784–786 (2018)CrossRef

17.

Freedberg, D., Gallese, V.: Motion, emotion and empathy in esthetic experience. Trends Cogn. Sci. 11(5), 197–203 (2007)CrossRef

18.

Gallese, V.: Embodied simulation: from neurons to phenomenal experience. Phenomenol. Cognit. Sci. 4(1), 23–48 (2005)CrossRef

19.

Gooch, B., Reinhard, E., Gooch, A.: Human facial illustrations: creation and psychophysical evaluation. ACM Trans. Graph. 23(1), 27–44 (2004)CrossRef

20.

Goodfellow, I., et al.: Generative Adversarial Nets. In: Advances in Neural Information Processing Systems, pp. 2672–2680 (2014)

21.

Ha, D., Eck, D.: A neural representation of sketch drawings. In: International Conference on Learning Representations (2018)

22.

Ives, S.W.: The development of expressivity in drawing. Br. J. Educ. Psychol. 54(2), 152–159 (1984)CrossRef

23.

Kahneman, D.: Thinking, Fast and Slow. Macmillan (2011)

24.

Li, Y., Song, Y.Z., Hospedales, T.M., Gong, S.: Free-hand sketch synthesis with deformable stroke models. Int. J. Comput. Vis. 122(1), 169–190 (2017)MathSciNetCrossRef

25.

Little, A.C., Jones, B.C.: Attraction independent of detection suggests special mechanisms for symmetry preferences in human face perception. Proc. R. Soc. B: Biol. Sci. 273(1605), 3093–3099 (2006)CrossRef

26.

Loy, G., Eklundh, J.O.: Detecting symmetry and symmetric constellations of features. In: European Conference on Computer Vision, pp. 508–521. Springer (2006)

27.

Maclagan, D.: Line Let Loose: Scribbling, Doodling and Automatic Drawing. Reaktion Books (2013)

28.

Manning, E., Massumi, B.: Thought in the Act: Passages in the Ecology of Experience. U of Minnesota Press (2014)

29.

McCorduck, P.: Aaron’s Code: Meta-art, Artificial Intelligence, and the Work of Harold Cohen. Macmillan (1991)

30.

Moffat, D., Kelly, M.: An investigation into people’s bias against computational creativity in music composition. In: The Third Joint Workshop on Computational Creativity. ECAI 2006, Universita di Trento (2006)

31.

Molnar, V.: Toward aesthetic guidelines for paintings with the aid of a computer. Leonardo 8(3), 185–189 (1975)

32.

Nake, F.: Computer art: a personal recollection. In: Proceedings of the 5th conference on Creativity and Cognition, pp. 54–62 (2005)

33.

Noll, A.M.: Human or machine: a subjective comparison of Piet Mondrian’s “composition with lines” (1917) and a computer-generated picture. Psychol. Rec. 16(1), 1–10 (1966)CrossRef

34.

Pease, A., Colton, S.: On impact and evaluation in computational creativity: a discussion of the Turing test and an alternative proposal. In: Proceedings of the AISB Symposium on AI and Philosophy, vol. 39 (2011)

35.

Pignocchi, A.: How the intentions of the draftsman shape perception of a drawing. Conscious. Cogn. 19(4), 887–898 (2010)CrossRef

36.

Ragot, M., Martin, N., Cojean, S.: AI-generated vs. human artworks. a perception bias towards artificial intelligence? In: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1–10 (2020)

37.

Ramachandran, V.S., Hirstein, W.: The science of art: a neurological theory of aesthetic experience. J. Conscious. Stud. 6(6–7), 15–51 (1999)

38.

Reas, C., Fry, B.: Processing: A Programming Handbook for Visual Designers and Artists. MIT Press, London (2007)

39.

Riaz Muhammad, U., Yang, Y., Song, Y.Z., Xiang, T., Hospedales, T.M.: Learning deep sketch abstraction. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8014–8023 (2018)

40.

Sayim, B., Cavanagh, P.: What line drawings reveal about the visual brain. Front. Hum. Neurosci. 5, 118 (2011)CrossRef

41.

Sbriscia-Fioretti, B., Berchio, C., Freedberg, D., Gallese, V., Umiltà, M.A.: ERP modulation during observation of abstract paintings by franz kline. PLoS ONE 8(10), (2013)

42.

Thakral, P.P., Moo, L.R., Slotnick, S.D.: A neural mechanism for aesthetic experience. NeuroReport 23(5), 310–313 (2012)CrossRef

43.

Tresset, P., Leymarie, F.F.: Portrait drawing by Paul the robot. Comput. Graph. 37(5), 348–363 (2013)CrossRef

44.

Tsai, D.Y., Lee, Y., Matsuyama, E.: Information entropy measure for evaluation of image quality. J. Digit. Imaging 21(3), 338–347 (2008)CrossRef

45.

Turing, A.M.: Computing machinery and intelligence. In: Parsing the Turing Test, pp. 23–65. Springer (2009)

46.

Yu, Q., Yang, Y., Liu, F., Song, Y.Z., Xiang, T., Hospedales, T.M.: Sketch-a-net: a deep neural network that beats humans. Int. J. Comput. Vis. 122(3), 411–425 (2017)MathSciNetCrossRef

47.

Yuan, Y., Brown, S.: The neural basis of mark making: a functional MRI study of drawing. PLoS ONE 9(10), (2014)

Title: “What Is Human?” A Turing Test for Artistic Creativity
Authors: Antonio Daniele
Caroline Di Bernardi Luft
Nick Bryan-Kinns
Publisher: Springer International Publishing
Book: Artificial Intelligence in Music, Sound, Art and Design
Print ISBN: 978-3-030-72913-4

Electronic ISBN: 978-3-030-72914-1

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-72914-1_26

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