Mapping the Viewer Experience in Cinematic Virtual Reality: A Systematic Review

Zhiyuan Yu, Cheng-Hung Lo
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Abstract

In recent years, the creative media landscape has witnessed growing interests surrounding the utilization of virtual reality (VR) as a novel visual narrative approach for both filmmakers and audiences. This trend is accompanied with an increase in studies aimed at scientifically examining the characteristics and principles of immersive visual storytelling. This paper intends to contribute to this growing field by offering a comprehensive review on the current research development in Cinematic Virtual Reality (CVR), which employs VR technology to produce immersive, cinematic experiences for audiences. While extant research has focused on the content generation techniques and human performance implicated in virtual environments, such investigations may not fully explain the medium adaptation differences or emotional dimensions of narrated immersive experiences. These aspects are especially crucial in the context of visual storytelling through VR film, 360-degree video production, or other narrated experiences. The proposed study systematically categorizes CVR-related research, revealing the field's current state by narrowing the focus to specific topics and themes within CVR literature, and highlighting key sub-domains of interest centered on viewers' experience measurement techniques. The findings of this review are expected to establish formal categories for implementing visual CVR to achieve immersive visual storytelling and provide a comprehensive analysis of current viewer experience measurements.
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绘制电影虚拟现实中的观众体验图:系统回顾
近年来,创意媒体领域对虚拟现实(VR)的兴趣与日俱增,将其作为一种新颖的视觉叙事方法,供电影制作人和观众使用。伴随着这一趋势,旨在科学地研究沉浸式视觉叙事的特点和原理的研究也日益增多。电影虚拟现实(CVR)利用虚拟现实技术为观众带来身临其境的电影体验,本文旨在对这一不断发展的领域进行全面回顾,从而为这一领域做出贡献。虽然现有研究主要关注虚拟环境中的内容生成技术和人类表现,但这些研究可能无法完全解释沉浸式体验的媒介适应性差异或情感维度。这些方面对于通过 VR 电影、360 度视频制作或其他叙事体验来讲述视觉故事尤为重要。拟议的研究对 CVR 相关研究进行了系统分类,通过将研究重点缩小到 CVR 文献中的特定主题和专题,揭示了该领域的现状,并突出了以观众体验测量技术为中心的主要兴趣子领域。本综述的研究结果有望为实施视觉 CVR 以实现身临其境的视觉叙事建立正式的分类,并为当前的观众体验测量提供全面的分析。
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