Abstract
In recent years, with the rapid development of big data, cloud computing, and deep learning, artificial intelligence (AI) has returned to the public’s field of vision once again and gradually deepened and infiltrated into different areas of our life. In this context, interactive art faces the unprecedented opportunities and challenges. In the past, the process and results of interaction were under the control of the creators, and the audience could only interact with artworks mechanically. Most of these interactive artworks just met the primary demand for the audio-visual effects and the sensory stimulation, which has become a common problem of interactive art. However, developments of AI in the field of human-computer interaction allow artists to go beyond the limitations of the past, thus the interactive process will be more human, intelligent, and diversified. AI involved in artistic creation is undoubtedly the developing trend and the latest direction of future. Nevertheless, interactive art in AI, whose creative mechanism has not been constructed, just begun to rise, and requires theoretical guidance. Therefore, discussing and studying the interactive art creation mechanism in the context of AI will have certain theoretical, practical and social significance. The purpose of this paper is to provide a methodological approach for interactive art creation in the context of AI, and a new creative thinking and direction for art practitioners, theoreticians and scientists. This paper first discusses the core role of AI media in interactive art creation. And then it analyzes the subjectivity and interrelationship between the artists, robots and participants in the process. Finally, it puts forward the basic idea of constructing a new mechanic system of intelligent interactive art creation. In short, this paper builds a new interactive art creation system that takes “cognition of human-computer symbiosis, innovation supported by intelligent technology, collaboration among creative subjects, and constraints on creative behavior ”as a new methodological approach, in which AI is the core media, artists, robots, and audience are the co-creation subjects.
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References
Kugel, P.: Artificial intelligence and visual art 1981, vol. 14. Leonardo, pp. 137–139 (1981). https://doi.org/10.2307/1574409.
Cornock, S., Edmonds, E.: The Creative Process Where the Artist is Amplified or Superseded by the Computer. vol. 6, pp. 11–16. Pergamon Press, Leonardo (1973). https://doi.org/10.2307/1572419
Ahmed, S.U., Jaccheri, L., M’kadmi, S.: Sonic onyx: case study of an interactive artwork. In: Huang, F., Wang, R.-C. (eds.) ArtsIT 2009. LNICST, vol. 30, pp. 40–47. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-11577-6_6
Ahmed, S.U.: Interaction and interactivity: in the context of digital interactive art installation. In: Kurosu, M. (ed.) HCI 2018. LNCS, vol. 10902, pp. 241–257. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91244-8_20
Cao, Z.F.: Artistic prospects in the age of artificial intelligence, vol. 01. Art Wide Angle, pp. 4–7 (2018)
Li, K.F., Wang, Y.G.: Artificial Intelligence. Culture Development Press, Beijing (2017)
Tan, L.Q.: Singularity Art: How Technology Singularity will Impact Art. China Machine Press, Beijing (2018)
Ascott, R.: The Future Is Now: Art, Technology and Consciousness. Jincheng Press, Beijing (2012)
Edmonds, E., Turner, G., Candy, L.: Approaches to interactive art systems. In: Proceedings of the 2nd International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia, pp. 113–117. Web (2004)
Lefjoy, M., Paul, C., Wesner, V.: Contextual Providers: Conditions of Meaning in Media Art. Jincheng Press, Beijing (2012)
Strehovec, J.: New media art as research: art-making beyond the autonomy of art and aesthetics. Technoetic Arts J. Speculative Res. 6, 233–250 (2009). https://doi.org/10.1386/tear.6.3.233_1
Hsieh, H.C.: New media arts and human-computer interaction: forming aesthetic interaction. Int. J. Arts Soc. 6, 201–210 (2011)
Manovich, L.: The Language of New Media. MIT Press, Cambridge (2002)
Gao, M.L., Chen, X.W.: Contemporary Digital Art. Guangxi Normal University Press, Guangxi (2016)
Wei, Y.L.: Interactive Art in New Media. Chemical Industry Press, Beijing (2017)
Levinson, P.: Mobile Phone: an Unstoppable Call. Renmin University of China Press, Beijing (2004)
Mcluhan, H.M.: Understanding the Media: an Extension of the Man. Commercial Press, Beijing (2000)
Negrotti, M.: Designing the artificial: an interdisciplinary study. Des. Issues 17, 4–16 (2001). https://doi.org/10.1162/07479360152383750
Gombrich, E.: The Story of Art. Phaidon Press Ltd., London (2006)
Penny, S.: Art and robotics: sixty years of situated machines. AI Soc. 28, 147–156 (2013). https://doi.org/10.1007/s00146-012-0404-4
Shidujaman, M., Zhang, S., Elder, R., Mi, H.: “roboquin”: a mannequin robot with natural humanoid movements. In: 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 1051–1056. IEEE, August 2018
Zhang, H.T.: A brief history of artificial intelligence and AI art concepts—the historical logic of AI, philosophy, and art. http://www.artda.cn/view.php?tid=10845&cid=15
Wang, K.J., Shidujaman, M., Zheng, C.Y., Thakur, P.: HRIpreneur thinking: strategies towards faster innovation and commercialization of academic HRI research. In: 2019 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO), pp. 219–226. IEEE (2019)
Wang, Z.: Theory of Digital Interactive Art Creation. Shanghai University, Shanghai (2011)
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Chen, W., Shidujaman, M., Jin, J., Ahmed, S.U. (2020). A Methodological Approach to Create Interactive Art in Artificial Intelligence. In: Stephanidis, C., et al. HCI International 2020 – Late Breaking Papers: Cognition, Learning and Games. HCII 2020. Lecture Notes in Computer Science(), vol 12425. Springer, Cham. https://doi.org/10.1007/978-3-030-60128-7_2
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