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

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.Shapi是一款专为辅助早期概念设计中的形态探索而开发的工具。它采用遗传算法（genetic algorithm）、机器学习（machine learning）方法及随机微扰（stochastic nudges）技术，生成全局与局部形态变体。其研发目的在于通过此类形态变体激发创新思路，并助力识别富有吸引力的趣味模式。研究团队开展了一系列案例研究，将Shapi应用于不同消费产品与抽象图案的形态探索，研究目标涵盖工业设计、平面设计及艺术开放性探索等方向。为评估案例研究所得结果的潜在实用价值与感知价值，研究团队同步开展了问卷调查。本数据集包含原始调查问卷、调查结果、案例研究的核心输出内容，以及算法运行所需的配套文件。如需了解算法运行的具体操作指南，请参阅"Read me.txt"文件。