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Research on the Design of Interactive Installation in New Media Art Based on Machine Learning

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Design, User Experience, and Usability (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14034))

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Abstract

With the development of artificial intelligence technology and the change of information dissemination mode, the design concept of new media interactive device gradually changes to diversification and conceptualization. The main research of this paper is to explore the methods and development prospects of interaction design of new media interactive installation art under the premise of machine learning as the design method with the participation of algorithms. This paper summarizes the methods of using new media interactive installations in the context of machine learning, and explores the forms of expression of artificial intelligence technology in new media art. Starting with the new media interactive installation combining artificial intelligence and machine learning technology, this paper discusses the dynamic installation art based on machine learning from several aspects, including the presentation of interactive installation in mainstream application scenes, the current situation of artificial intelligence application in interactive installation art, and the specific application of machine learning at present.By understanding and mastering design methods based on machine learning technologies, using artificial intelligence as a new media tool and platform to bring out the creativity of human-machine collaborative creation.

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Correspondence to Miao Liu .

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Liu, M., Li, J. (2023). Research on the Design of Interactive Installation in New Media Art Based on Machine Learning. In: Marcus, A., Rosenzweig, E., Soares, M.M. (eds) Design, User Experience, and Usability. HCII 2023. Lecture Notes in Computer Science, vol 14034. Springer, Cham. https://doi.org/10.1007/978-3-031-35705-3_8

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  • DOI: https://doi.org/10.1007/978-3-031-35705-3_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35704-6

  • Online ISBN: 978-3-031-35705-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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