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

What is it about?

the paper investigates about the problems of novelty assessment when the metric of Shah et al. is applied on sets of ideas implementing etherogeneous numbers of attributes. The study is performed by automatically assessing high numbers of virtually generated sets of ideas (expressed in terms of attribute codes).

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Why is it important?

Because real tests, especially involving novice designers, often lead to sets of generated ideas that implement different numbers of attributes. This problem can have different origins, such as distraction of designers, misunderstandings about the task, etc. however, it is crucial that "quality-related" assessments do not affect novelty assessment. The paper highlights that the mere application of the metric of Shah to set of incomplete ideas can lead to misleading results.