This article focuses on building a prototyping for immersive captioning following a user-centric approach. This methodology is characterised by following a bottom-up approach, where usability and user needs are at the heart of the development. Recent research on user requirements for captioning in immersive environments has shown that there is both a need for improvement and a wealth of research opportunities. The final aim is to identify how to display captions for an optimal viewing experience. This work began four years ago with some partial findings. We build from the lessons learnt, focussing on the user-centric design requirements cornerstone: prototyping. Our prototype framework integrates methods used in existing solutions aiming at instant contrast-and-compare functionalities. The first part of the article presents the state of the art for user requirements identifying the reasons behind the development of the prototyping framework. The second part of the article describes the two-stage framework development. The initial framework concept answered to the challenges resulting from the previous research. As soon as the first framework was developed, it became obvious that a second improved solution was required, almost as a showcase on how ideas can quickly be implemented for user testing, and for users to elicit requirements and creative solutions. The article finishes with a list of functionalities, resulting in new caption modes, and the opportunity of becoming a comprehensive immersive captions testbed, where tools such as eye-tracking, or physiological testing devices could be testing captions across any device with a web browser.

本文的重点是按照以用户为中心的方法为沉浸式字幕构建原型。这种方法的特点是遵循自下而上的方法，其中可用性和用户需求是开发的核心。最近对沉浸式环境中字幕的用户需求的研究表明，既需要改进，也需要大量的研究机会。最终目标是确定如何显示字幕以获得最佳观看体验。这项工作始于四年前，有一些部分发现。我们从经验教训中构建，专注于以用户为中心的设计需求基石：原型设计。我们的原型框架集成了现有解决方案中使用的方法，旨在实现即时对比和比较功能。本文的第一部分介绍了用户需求的最新技术，确定了原型框架开发背后的原因。文章的第二部分描述了两阶段框架开发。最初的框架概念回答了先前研究带来的挑战。开发第一个框架后，很明显需要第二个改进的解决方案，几乎是展示如何快速实施想法以进行用户测试，以及让用户引出需求和创造性解决方案。文章最后列出了一系列功能，产生了新的字幕模式，并有机会成为一个全面的沉浸式字幕测试平台，其中包括眼动追踪等工具，