Zhao, S orcid.org/0000-0002-7048-8860, Kirk, D, Bowen, S et al. (2 more authors) (2020) Supporting the Cross-cultural Appreciation of Traditional Chinese Puppetry Through a Digital Gesture Library. Journal on Computing and Cultural Heritage, 12 (4). 28. pp. 1-19. ISSN 1556-4673
Abstract
In recent years, digital cultural heritage has attracted much attention in the HCI domain, but there are currently few studies that focus on enhancing the appreciation of intangible cultural heritage content amongst cross-cultural audiences. This article reports on the development of a Digital Gesture Library to support cross-cultural appreciation of traditional Chinese puppetry. We describe fieldwork with professional puppeteers to understand their practices and art form, which informed the development of the Digital Gesture Library, which uses a three-perspective archive of puppetry gestures and a tangible interface to support cross-cultural audiences’ appreciation of puppetry and encourages further exploration of Chinese culture. We present findings on the efficacy of the Digital Gesture Library from qualitative and quantitative user studies and, from this, discuss the opportunities and challenges for developing digital technology for cross-cultural appreciation of intangible heritage.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 ACM. This is an author produced version of an article published in Journal on Computing and Cultural Heritage (JOCCH). Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Intangible cultural heritage; traditional Chinese puppetry; cross-cultural appreciation; digital gestural library; interaction design |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Jun 2021 14:55 |
Last Modified: | 09 Jun 2021 18:42 |
Status: | Published |
Publisher: | Association for Computing Machinery (ACM) |
Identification Number: | 10.1145/3341882 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:174998 |