Our perception of cold enriches our understanding of the world and allows us to interact with it. Therefore, the presentation of cold sensations will be beneficial in improving the sense of immersion and presence in virtual reality and the metaverse. This study proposed a novel method for spatially continuous cold sensation presentation based on low-temperature airflows. We defined the shortest distance between two airflows perceived as different cold stimuli as a local cold stimulus group discrimination threshold (LCSGDT). By setting the distance between airflows within the LCSGDT, spatially continuous cold sensations can be achieved with an optimal number of cold airflows. We hypothesized that the LCSGDTs are related to the heat-transfer capability of airflows and developed a model to relate them. We investigated the LCSGDTs at a flow rate of 25 L/min and presentation distances ranging from 10 to 50 mm. The results showed that under these conditions, the LCSGDTs are 131.4 $\pm$ 1.9 mm, and the heat-transfer capacity of the airflow corresponding to these LCSGDTs is an almost constant value, that is, 0.92.

翻译：我们对寒冷的感知丰富了对世界的理解，并使我们能够与之交互。因此，冷感觉的呈现将有助于提升虚拟现实和元宇宙中的沉浸感与临场感。本研究提出了一种基于低温气流实现空间连续冷感觉呈现的新方法。我们将能被感知为不同冷刺激的两个气流之间的最短距离定义为局部冷刺激组辨别阈值（LCSGDT）。通过将气流间距设定在LCSGDT范围内，可以用最优数量的冷气流实现空间连续的冷感觉。我们假设LCSGDT与气流的传热能力相关，并建立了一个关联模型。我们研究了在流速为25 L/min、呈现距离为10至50 mm条件下的LCSGDT。结果表明，在这些条件下，LCSGDT为131.4±1.9 mm，且对应这些LCSGDT的气流传热能力几乎是一个恒定值，即0.92。