发表机构
Nanyang Technological University; Massachusetts Institute of Technology（南洋理工大学; 麻省理工学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对天气数据物化中的不确定性，提出有界物质能动性概念及NephoCodex系统，通过概率映射与熵调节控制物质表达，实验表明增强空间存在感但数据可理解性无定论。
AI 中文摘要
天气是一个复杂且持续变化的系统，其中不确定性是内在固有的。将这种不确定性物化会引入进一步的变异，因为计算输出无法完全决定物质行为。我们区分了计算不确定性与物质变异性，并引入了有界物质能动性：计算约束了物质实现，但并不固定其确切外观。我们提出了NephoCodex，一个基于形成性研究的数据物化系统，该研究构建了五种艺术天气状态并预测其上的概率分布。概率加权映射将这些分布转化为物质控制提案，而基于熵的调节、局部感知和安全约束通过雾气、气流、光线和透明显示来限制其执行。一项受试者内研究发现空间存在感和身体需求有所增加，而感知数据可理解性在校正后仍无定论。这些发现通过展示可变物质表达如何与稳定的数字注释配对，以及具身体验如何与数据理解分开评估，为混合数据物化做出了贡献。
英文摘要
Weather is a complex, continuously changing system in which uncertainty is intrinsic. Physicalizing this uncertainty introduces further variation because computational outputs cannot fully determine material behavior. We distinguish computational uncertainty from material variability and introduce bounded material agency: computation constrains material realization without fixing its exact appearance. We present NephoCodex, a data physicalization system informed by a formative study that constructs five artistic weather states and predicts probability distributions over them. Probability-weighted mappings translate these distributions into material control proposals, while entropy-based regulation, local sensing, and safety constraints bound their execution through mist, airflow, light, and transparent displays. A within-participant study found increased spatial presence and physical demand, while perceived data comprehensibility remained inconclusive after correction. These findings contribute to hybrid data physicalization by showing how variable material expression can be paired with stable digital annotations and how embodied experience can be evaluated separately from data comprehension.
Comments21 pages, 15 figures
