How many comparison dimensions individuals consider when they are asked to judge how similar two different objects are? I address individual heterogeneity in the number of comparison dimensions with data from a laboratory experiment. I estimate the smallest number of dimensions such that objects may be represented in space where distance corresponds to similarity. I find that the mean smallest number of dimensions in real data is one standard deviation smaller than in randomly simulated data. Furthermore, I find that individuals who find the objects relatively similar to each other are also the ones who implicitly consider fewer dimensions.

中文翻译：

---

比较维度和相似性：解决个体异质性。

当要求个体判断两个不同物体的相似程度时，他们会考虑多少个比较维度？我用实验室实验的数据解决了比较维度数量上的个体异质性。我估计了最小维数，以便对象可以在距离对应于相似性的空间中表示。我发现实际数据中的平均最小维数比随机模拟数据小一个标准偏差。此外，我发现发现彼此相对相似的对象的个体也是隐含考虑较少维度的个体。