Title: Technology competition of human-AI collaboration on the film and animation creation

Authors: Anna Yu-Ju Yen; Maria R. Lee

Addresses: Graduate Institute of Creative Industries, College of Management, Shih Chien University, Taipei 104, Taiwan ' Department of Information Technology and Management, Shih Chien University, Taipei 104, Taiwan

Abstract: The proposed work aims to discover the international technology competition and development of human-artificial intelligence (AI) collaboration on content creation in the film and animation industries to support the strategic planning, decision-making of R&D, and soft innovation. The study demonstrates a hybrid approach that combines technology life cycle (TLC) and latent Dirichlet allocation (LDA) topic modelling. We analyse 1,982 patents of AI collaborating on creating film and animation in the primary patent application countries (i.e., patents applied to the intellectual property offices of the USA, China, Korea, Japan, and European Patent Office, EPO) from 2010 to 2020. The TLC results show growing trends in the international technology competition. The major topic trends corresponding to TLC phases denote strong potential or future stagnation signals in different countries. The study provides the future R&D signals and suggests stimulating soft innovation with human-AI collaboration to face growing competition.

Keywords: artificial intelligence; human-AI collaboration; film; animation; technology competition; patent analysis.

DOI: 10.1504/IJSHC.2024.136701

International Journal of Social and Humanistic Computing, 2024 Vol.4 No.2, pp.131 - 150

Received: 10 Jan 2022
Accepted: 12 Feb 2022
Published online: 19 Feb 2024 *

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