The a posteriori novelty metric proposed in 2003 by Shah and colleagues is still one of the most widely used in design research, constituting the reference for many experiments on creativity and effectiveness of ideation. However, recent research highlights that in the presence of ideas implementing different numbers of attributes, some non-negligible problems arise. The objective of this paper is to estimate the potential errors that can be committed when applying the metric of Shah et al. in these situations. The investigation has been performed by relying on a high number of randomly generated virtual sets of ideas. The results obtained revealed that the problem of “missing attributes”, if not opportunely faced, leads the considered metric to misleading novelty scores.

中文翻译：

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缺失属性对 Shah 等人的新颖性度量的影响。

Shah 及其同事在 2003 年提出的后验新颖性指标仍然是设计研究中使用最广泛的指标之一，为许多关于创意和创意有效性的实验提供了参考。然而，最近的研究强调，在存在实现不同数量属性的想法的情况下，会出现一些不可忽视的问题。本文的目的是估计在应用 Shah 等人的度量时可能发生的潜在错误。在这些情况下。该调查依赖于大量随机生成的虚拟想法集。获得的结果表明，“缺失属性”的问题，如果没有及时面对，会导致所考虑的指标误导性的新颖性分数。