Dataset with the results and code from the development of Shapi, an open-ended AI tool for boosting creativity during shape exploration sketching

Published: 8 April 2022| Version 2 | DOI: 10.17632/zgnjyxdmp4.2
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Description

Shapi is a tool developed for assisting the exploration of shapes in early conceptual design. It uses a genetic algorithm, machine learning methods, and stochastic nudges to generate global and local shape variations. The purpose is for these variations to spark new ideas and help identify interesting patterns. A series of case studies are conducted where Shapi is used to explore the shapes of different consumer products and abstract patterns with goals oriented toward industrial design, graphic design, and artistic open-ended exploration. A survey is conducted to evaluate the potential usefulness and perceived value of the results taken from the case studies. This dataset includes the original survey, the survey results, the main outputs from the case studies, and the files to run the algorithm. Refer to the "Read me.txt" file for instructions on how to run the algorithm.

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Institutions

Carnegie Mellon University

Categories

Artificial Intelligence, Genetic Algorithm, Algorithm Design, Aesthetics in Design, Industrial Design, Art-Drawing, Graphic Design

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