AI 中文总结
本研究提出夜度概念，构建含三个子量表的理论框架，开发含42个项目的虚拟城市夜度量表，为虚拟城市场景夜间感知比较提供操作基础，支持后续实证验证。
AI 中文摘要
夜间环境越来越多地用于虚拟城市研究，但仅黑暗本身无法完全重现夜间的主观存在感。现有研究表明，这种体验不仅取决于日光的缺失，还取决于照明结构、低光感知、人类活动、声景以及与自身相关的状态。然而，目前没有现成工具可直接评估这种依赖于场景的主观体验。本研究将夜度定义为场景引发的夜间感受，并提出一个由感知、活动和内在状态三个子量表构成的理论驱动框架。基于该框架，我们开发了首个针对虚拟城市环境的候选问卷，该问卷通过文献调研流程开发，并经两位城市照明专家审核，包含42个李克特式项目，其中包括三个诊断性子量表，以及补充性的整体和时间相关项目。本研究为根据虚拟城市场景的感知夜度进行比较提供了首个操作基础，并支持未来的实证验证。
英文摘要
Nighttime environments are increasingly used in virtual urban studies, yet darkness alone does not fully recreate the subjective sense of being at night. Prior work suggests that this experience depends not only on the absence of daylight, but also on lighting structure, low-light perception, human activity, soundscape, and self-related states. However, no existing tool directly assesses this scene-dependent subjective experience. This work introduces nocturnity as the feeling of being at night elicited by a scene and proposes a theory-driven framework structured into three subscales: perceptual, activity, and inner-state nocturnity. Based on this framework, we develop a first candidate questionnaire for virtual urban environments. Developed through a literature-informed process and reviewed by two urban lighting experts, the scale comprises 42 Likert-type items, including three diagnostic subscales and complementary global and time-related items. This work provides a first operational basis for comparing virtual urban scenes according to their perceived nocturnity and supports future empirical validation.
Journal refACM Symposium on Applied Perception 2026 (SAP '26), Aug 2026, Rennes, France
