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Silk Road Journey: A Real-time AI-based Interactive Art Installation for Silk Road Cultural Reenactment and Experience

Published: 11 May 2024 Publication History

Abstract

The Silk Road, spanning thousands of years, possesses splendid civilization relics. However, with the disappearance of historical records, there is a certain lack of public awareness of the Silk Road culture. Silk Road Journey is an AI interactive installation based on six significant cities along the Silk Road, allowing the audiences travel through different eras, and pose with the scenes through physical interaction to generate unique commemorative images. We apply AIGC technology to the design of the interactive art installation related to cultural heritage. We employ a variety of strategies to improve the efficiency and quality of gesture-controlled image generation, aiming to improve the immersion of the interaction and achieve real-time interaction effects. This innovative way of combining new technology, interactive experience and world cultural heritage improves the public's cultural awareness of the Silk Road, which also seeks out a new mode of experience and dissemination for cultural heritage preservation.

Supplemental Material

MP4 File - Demonstration Video
Demonstration Video
Transcript for: Demonstration Video
MP4 File - Video Preview
Video Preview
Transcript for: Video Preview
MP4 File - Dynamic Image 1
Animated illustration 1 from the storyboard
MP4 File - Dynamic Image 2
Animated illustration 2 from the storyboard
MP4 File - Dynamic Image 3
Animated illustration 3 from the storyboard
MP4 File - Dynamic Image 5
Animated illustration 5 from the storyboard
MP4 File - Dynamic Image 4
Animated illustration 4 from the storyboard
MP4 File - Dynamic Image 6
Animated illustration 6 from the storyboard
PDF File - Single-Column Paper
Project Wireframe ConceptSingle-column pdf document (includes accessibility markup)
PNG File - Supplementary Image 1
Project Wireframe Concept
PNG File - Supplementary Image 2
API Workflow Diagram

References

[1]
Christian Sivertsen, René Haas, Halfdan Hauch Jensen, and Anders Sundnes Løvlie. 2023. Exploring a Digital Art Collection through Drawing Interactions with a Deep Generative Model. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA '23). Association for Computing Machinery, New York, NY, USA, Article 451, 1–5. https://doi.org/10.1145/3544549.3583902
[2]
Cristina Portalés, Jorge Sebastián, Ester Alba, Javier Sevilla, Mar Gaitán, Paz Ruiz, and Marcos Fernández. 2018. Interactive tools for the preservation, dissemination and study of silk heritage—An introduction to the silknow project. Multimodal Technologies and Interaction 2, 2 (2018), 28.
[3]
Guo P, Dong Lecheng, Li Zehong, Li Y, Cheng H, and Yuan Lian. 2014. Research on tourism pattern and international tourism cooperation model of the Silk Road Economic Belt. Resource Science 12 (2014), 2459-2467.
[4]
Li, Baiyang, Baiyun, Zhan, Xini, and Li, Gang. 2023. Technical Characteristics and Morphological Evolution of Artificial Intelligence Generated Content (AIGC). Library and Intelligence Knowledge 40, 1 (2023), 66-74.
[5]
Li, Mingwei. 2005. A Historical Review of a Century of Silk Road Studies. Northwest Ethnic Studies 2, 45 (2005), 90-106.
[6]
Ma, J., Zhang, T., Qian, X., and Hu, J. 2023. Current status of research on the application of artificial intelligence in the protection and inheritance of intangible cultural heritage. Packaging Engineering Art Edition 44, 8 (2023), 1-14.
[7]
Ningning Xu, Jiachen Liang, Kexiang Shuai, Yuwen Li, and Jiaqi Yan. 2023. HeritageSite AR: An Exploration Game for Quality Education and Sustainable Cultural Heritage*. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA '23). Association for Computing Machinery, New York, NY, USA, Article 585, 1–8. https://doi.org/10.1145/3544549.3583837
[8]
Pan Shimin, Rusmadiah Bin Anwar, Nor Nazida Binti Awang, and He Yinuo. Research on Yixing Zisha teapot design innovation based on AIGC Technology.
[9]
Sheng Jin, Min Fan, Yongchao Wang, and Qi Liu. 2020. Reconstructing Traditional Chinese Paintings with Immersive Virtual Reality. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20). Association for Computing Machinery, New York, NY, USA, 1–8. https://doi.org/10.1145/3334480.3382934
[10]
Wang, Chang-Sheng. 2023. 2023. Artificial intelligence-driven digital image art creation: methods and case studies. Journal of Intelligent Science and Technology 5, 3 (2023), 406-414.
[11]
Weihao Qiu and George Legrady. 2023. Fencing Hallucination: An Interactive Installation for Fencing with AI and Synthesizing Chronophotographs. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA '23). Association for Computing Machinery, New York, NY, USA, Article 455, 1–5. https://doi.org/10.1145/3544549.3583929
[12]
Yang Hu and others. 2023. Research on the Design Method of Traditional Decorative Patterns of Ethnic Minorities under the Trend of AIGC. Journal of Electronics and Information Science 8, 5 (2023), 58–62.

Cited By

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  • (2024)A Framework Study on the Application of AIGC Technology in the Digital Reconstruction of Cultural HeritageApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-21909:1Online publication date: 5-Aug-2024

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  1. Silk Road Journey: A Real-time AI-based Interactive Art Installation for Silk Road Cultural Reenactment and Experience

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        cover image ACM Conferences
        CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
        May 2024
        4761 pages
        ISBN:9798400703317
        DOI:10.1145/3613905
        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Publication History

        Published: 11 May 2024

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        Author Tags

        1. AIGC(Artificial Intelligence Generated Content)
        2. Silk Road Cultural Heritage
        3. diffusion model
        4. embodied interaction
        5. gesture recognition

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        • Demonstration
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        • Refereed limited

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        CHI '24

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        Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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        CHI 2025
        ACM CHI Conference on Human Factors in Computing Systems
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        • (2024)A Framework Study on the Application of AIGC Technology in the Digital Reconstruction of Cultural HeritageApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-21909:1Online publication date: 5-Aug-2024

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