Problems with the Calculation of Novelty Metrics
@inproceedings{Brown2014ProblemsWT, title={Problems with the Calculation of Novelty Metrics}, author={David C. Brown}, year={2014} }
Shah, Vargas-Hernandez & Smith [2003] (SVS) have proposed a widely adopted and very influential set of metrics, including one for novelty. They attempted to make them specifically appropriate for Engineering Design, while keeping principles from Cognitive Psychology in mind. In this position paper we view the SVS proposal for possible use in Computational Design Creativity systems. Unfortunately we conclude that, while it appears to be useful for human assessment of design novelty it poses…
20 Citations
ISSUES RELATED TO MISSING ATTRIBUTES IN A-POSTERIORI NOVELTY ASSESSMENTS
- Psychology
- 2018
This paper argues about the recalled issue, providing detailed suggestions for a correct “a-posteriori” novelty assessment of ideas generated from tasks with multiple required functions.
Refined metric for a-posteriori novelty assessments
- Computer ScienceJournal of Engineering Design
- 2021
This paper aims at identifying the roots of these problems and at proposing a refined assessment approach, capable to extend the applicability of SNM to any set of ideas.
A-POSTERIORI NOVELTY ASSESSMENTS FOR SEQUENTIAL DESIGN SESSIONS
- Computer Science
- 2018
This paper argues about the problem of when in presence of sequential idea generation sessions of the same task, the application of the recalled metric could lead to misleading results, and provides useful suggestions for a correct “a-posteriori” assessment for sequential ideageneration sessions.
A Brief Review of Approaches to Design Novelty Assessment
- Art
- 2021
This paper questions the assumption in design creativity research that we know how to calculate a meaningful score for the novelty of a design. This paper looks at the basics of novelty calculation,…
Impact of missing attributes on the novelty metric of Shah et al.
- Computer Science
- 2020
The investigation has been performed by relying on a high number of randomly generated virtual sets of ideas and revealed that the problem of “missing attributes”, if not opportunely faced, leads the considered metric to misleading novelty scores.
Three-Dimensional Approach for Assessing Uncommonness of Ideas
- Computer ScienceProceedings of the Design Society: International Conference on Engineering Design
- 2019
This paper proposes an integrated procedure where the advantages offered by the three families of metrics can be applied concurrently, and results show that a more comprehensive set of information about a-posteriori novelty can be extracted.
A-Posteriori Novelty Metrics Based on Idea Decomposition
- Computer Science
- 2019
The problems affecting the original SNM version have not been comprehensively resolved, and the different variants proposed in literature can even present some additional flaws, thus providing fundamental information to support accurate metric selection.
Novelty metrics in engineering design
- Computer ScienceJournal of Engineering Design
- 2021
A map of novelty metrics has been obtained, which shows that most of them belong to the uncommonness type, while others need further investigations, which is intended to support scholars in browsing the different metrics, when selecting the most suited for their specific research objectives.
Orienting through the Variants of the Shah’s A-Posteriori Novelty Metric
- Computer ScienceProceedings of the Design Society: International Conference on Engineering Design
- 2019
This paper argues about the variants proposed for the a-posteriori metric of Shah et al., and proposes a selection framework to support researchers in selecting the most suited for their experimental needs, which highlights the presence of commonness of key attributes.
Unpacking Subjective Creativity Ratings: Using Embeddings to Explain and Measure Idea Novelty
- Computer Science
- 2018
A way to uncover human judgment of design idea similarity using two dimensional idea maps is demonstrated, which provide a new direction of research into deriving ground truth novelty metrics by combining human judgments and computational.
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