Multimodal Digital Narrative Approaches and Impact of Performing Art Heritage: A Case Study of Cantonese Opera

DOI

10.2991/978-94-6239-737-8_56How to use a DOI?

Keywords

Cantonese Opera; digital narrative; performing art heritage; cultural dissemination

Abstract

Cantonese Opera, a significant intangible cultural heritage of the Guangdong-Hong Kong-Macau Greater Bay Area (GBA), faces challenges in cultural transmission due to shifting audience demographics and evolving entertainment preferences. This study explores the application of multimodal narrative approaches in preserving and promoting Cantonese Opera, including visualized spatial narrative, scenographic integrated narrative, digital interactive narrative, and gamified transcoding narrative. Through the use of questionnaires, the objective is to assess the impact of performing art heritage on the experience and perception of people, the engagement and accessibility of the audience, as well as the preservation and evolution of the performing art heritage. The study finds the multimodal digital narratives can effectively help Cantonese Opera evolve while ensuring its cultural significance for future generations.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lihua Qing
PY  - 2026
DA  - 2026/08/18
TI  - Multimodal Digital Narrative Approaches and Impact of Performing Art Heritage: A Case Study of Cantonese Opera
BT  - Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026)
PB  - Atlantis Press
SP  - 458
EP  - 467
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-737-8_56
DO  - 10.2991/978-94-6239-737-8_56
ID  - Qing2026
ER  -