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Measuring ideation effectiveness in bioinspired design

Published online by Cambridge University Press:  28 April 2023

Sunil Sharma Open the ORCID record for Sunil Sharma [Opens in a new window] ,
Suraj Gururani Open the ORCID record for Suraj Gururani [Opens in a new window]  and
Prabir Sarkar
Sunil Sharma*
Affiliation:
Department of Mechanical Engineering, IIT Ropar, Ropar, Punjab, India Lovely Professional University, School of Mechanical Engineering, Phagwara, Punjab, India
Suraj Gururani
Affiliation:
Department of Mechanical Engineering, IIT Ropar, Ropar, Punjab, India
Prabir Sarkar
Affiliation:
Department of Mechanical Engineering, IIT Ropar, Ropar, Punjab, India
*
Corresponding author: Sunil Sharma; Email: 85sunilsharma@gmail.com
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Abstract

Analogies provide better concept generation in engineering design. This ideation can be measured by metrics such as usefulness, novelty, variety, quality, completeness, and quantity. In bioinspired design, biological analogies are used to inspire design concepts. Biological analogies have been provided in earlier studies to measure ideation effectiveness. Tools like IDEA-INSPIRE, DANE, etc., allow designers to search analogies using functions, behaviors, and structures. However, we wanted to inquire about the effect of providing a very large number of biological analogies (26), fulfilling the same function to develop bioinspired solutions. In this paper, an empirical study has been performed to analyze the effect of biological analogies on ideation. The designers are exposed to provided multiple biological analogies and generate concepts for which four ideation metrics: novelty, variety, quality, and quantity metrics are evaluated. The results are compared to the unaided condition where other designers are given the same task. A new method to measure variety using a 2D matrix has been presented. The results suggest that designers can generate bioinspired solutions when multiple biological analogies performing similar functions are provided in a presentable format. Statistically, exposure to multiple biological analogies in idea generation can significantly increase the variety of design ideas. The novelty, quality, and quantity for the biological group and control group remain the same.

Keywords

bioinspiredconceptual designcreative designdesign techniquesevaluationinnovation
Type
Research Article
Information
AI EDAM , Volume 37 , 2023 , e14
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Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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