Although pervasive sensing technologies are increasingly capable of continuously detecting human emotional states, there is still a critical challenge: how to unobtrusively communicate this sensed data back to the user. Realistic avatars are effective but often unsuitable for the limited screen space and peripheral nature of wearable. Abstract geometric animation offers a promising, rapidly interpretable alternative, but its cross-cultural validity remains under-explored. This study investigates the universality of animated emotion representations. We conducted a comparative study with 105 participants from Poland and Turkey and analyzed how they map emotions to visual parameters, such as color, shape, size, speed, and animation type. The results indicate that color and object size are universally understood as carriers of emotional meaning, making them suitable for global visualization models. However, some cultural variation in dynamic range preferences was revealed by animation speed. These results lay the groundwork for developing generative visualization algorithms that translate continuous sensor data into intuitive, culturally relevant feedback for pervasive environments.

翻译：尽管泛在传感技术日益能够连续检测人类情绪状态，但如何以非侵入方式将感知数据反馈给用户仍是关键挑战。逼真的虚拟化身虽高效，却难以适用于可穿戴设备有限的屏幕空间及其外围交互特性。抽象几何动画提供了一种快速可读的替代方案，但其跨文化效度尚待探究。本研究聚焦动画情感表征的普适性问题，通过对105名波兰与土耳其被试的对比分析，考察了情绪与色彩、形状、尺寸、速度及动画类型等视觉参数的映射关系。结果表明，色彩与物体尺寸作为情感载体具有跨文化一致性，适用于构建全球化视觉化模型；然而，动画速度所体现的动态范围偏好存在文化差异。这些发现为生成式可视化算法奠定了基础，该类算法可将连续传感器数据转化为直观且符合文化情境的反馈，适用于泛在计算环境。