Explanations are essential for helping users interpret and trust autonomous smart-home decisions, yet evaluating their quality and impact remains methodologically difficult in this domain. V-SHiNE addresses this gap: a browser-based smarthome simulation framework for scalable and realistic assessment of explanations. It allows researchers to configure environments, simulate behaviors, and plug in custom explanation engines, with flexible delivery modes and rich interaction logging. A study with 159 participants demonstrates its feasibility. V-SHiNE provides a lightweight, reproducible platform for advancing user-centered evaluation of explainable intelligent systems

翻译：解释对于帮助用户理解和信任智能家居的自主决策至关重要，然而在该领域中，评估解释的质量与影响仍存在方法论上的困难。V-SHiNE旨在填补这一空白：它是一个基于浏览器的智能家居仿真框架，用于对解释进行可扩展且贴近现实的评估。该框架允许研究者配置环境、模拟行为并接入自定义的解释引擎，同时支持灵活的呈现方式与丰富的交互日志记录。一项包含159名参与者的研究验证了其可行性。V-SHiNE为推进以用户为中心的可解释智能系统评估提供了一个轻量级、可复现的平台。