🤖 AI Summary
This paper addresses the lack of systematic workflows and tool support for animated VR storytelling. Through semi-structured interviews with 21 creators, augmented by thematic coding and cross-case comparison, we identify ten recurrent stages—from ideation to audience evaluation—and nine domain-specific challenges, including absence of multi-element narrative references, lack of story integration tools, and insufficient audience feedback mechanisms. We present the first end-to-end workflow framework for animated VR story creation, revealing fundamental distinctions between story-driven and visualization-driven workstyles. The study introduces a reusable process ontology and a taxonomy of challenges, grounded in empirical evidence. From these findings, we derive six key directions for future research—spanning authoring tool design, real-time narrative adaptation, and human-AI co-creation—thereby providing both empirical foundations and theoretical grounding for advancing VR narrative systems and human-computer collaborative design.
📝 Abstract
Animated virtual reality (VR) stories, combining the presence of VR and the artistry of computer animation, offer a compelling way to deliver messages and evoke emotions. Motivated by the growing demand for immersive narrative experiences, more creators are creating animated VR stories. However, a holistic understanding of their creation processes and challenges involved in crafting these stories is still limited. Based on semi-structured interviews with 21 animated VR story creators, we identify ten common stages in their end-to-end creation processes, ranging from idea generation to evaluation, which form diverse workflows that are story-driven or visual-driven. Additionally, we highlight nine unique issues that arise during the creation process, such as a lack of reference material for multi-element plots, the absence of specific functionalities for story integration, and inadequate support for audience evaluation. We compare the creation of animated VR stories to general XR applications and distill several future research opportunities.