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Impact of missing attributes on the novelty metric of Shah et al.

机译:缺少属性对Shah等人的新颖性指标的影响。

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摘要

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.
机译:Shah及其同事提出的2003年提出的一项后言新公制仍然是最广泛应用的设计研究之一,构成了许多关于思想创造性和有效性的实验的参考。 然而,最近的研究突出显示,在实现不同数量的属性的想法存在下,出现了一些不可忽略的问题。 本文的目的是估计应用Shah等人的公制时可以犯下的潜在错误。 在这些情况下。 通过依赖大量随机生成的虚拟思想来进行调查。 获得的结果表明,“缺少属性”的问题,如果不适合面临,会导致误导性的新颖性评分。

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