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基于生物反馈的非遗表演沉浸式体验与交互研究
引用本文:闫烁.基于生物反馈的非遗表演沉浸式体验与交互研究[J].包装工程,2023,44(20):1-7.
作者姓名:闫烁
作者单位:北京航空航天大学,新媒体艺术与设计学院,北京 100191
基金项目:教育部人文社科基金规划项目(22YJA760092)
摘    要:目的 通过对非遗表演的沉浸式体验及数字化形态特征、观演关系演变进行探索与分析,提出基于生物反馈的非遗表演沉浸式体验与交互设计方法。方法 对真实环境到虚拟空间发展过程中观众的观演模式及其交互方式进行研究,构建多人协同的人机交互方式,提出观众表演化身设计和多人共创交互叙事两种普适性的沉浸式体验设计方法,并通过表演实例进行实践和具体阐述。结论 通过观众的实际体验,提升了非遗表演沉浸式体验中的自然交互及文化传播效果,为非遗表演的保护与传承开辟了新的途径。研究为未来的非遗沉浸式体验提供了可行的建议。

关 键 词:非遗表演  沉浸式体验  生物反馈  虚拟现实
收稿时间:2023/5/17 0:00:00

Immersive Experience and Interaction of Intangible Cultural Heritage Performance Based on Biofeedback
YAN Shuo.Immersive Experience and Interaction of Intangible Cultural Heritage Performance Based on Biofeedback[J].Packaging Engineering,2023,44(20):1-7.
Authors:YAN Shuo
Affiliation:School of New Media Ares & Design, Beihang University, Beijing 100191, China
Abstract:The work aims to put forward an immersive experience and interaction design method of intangible cultural heritage performance based on biofeedback by exploring and analyzing the immersive experience of intangible cultural heritage performance, the digital form characteristics, and the evolution of the relationship between viewing and performance. From the real environment to the virtual space development process, the audience''s viewing mode and interaction mode were studied, the human-computer interaction mode of multi-person collaboration was constructed, and two universal immersive experience design methods of audience performance avatar design and multi-person co-creation interactive narrative were proposed, which were then practiced and elaborated through performance examples. Through the actual experience of the audience, the effect of natural interaction and cultural transmission in the immersive experience of intangible cultural heritage performance is enhanced, and a new way is opened for the protection and inheritance of intangible cultural heritage performance. The research provides feasible suggestions for future immersive experience of intangible cultural heritage.
Keywords:s on Human Factors in Computing systems  Association for Computing Machinery  New York:CHI  2017:2395- 2402  
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