基于人工智能的灵感对人类设计思维的影响

IF 1.2 Q4 ENGINEERING, MANUFACTURING
Jingoog Kim, M. Maher
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引用次数: 6

摘要

设计中的计算协同创造系统允许用户在设计过程中与AI合作伙伴就开放式创造性任务进行协作。共同创造系统可以通过在最初的想法产生中激发对新颖设计解决方案的探索来增强设计创造力。然而,关于共同创造系统对构思过程中认知过程的影响的研究却很少。本研究考察了基于人工智能的协同创意设计工具的效果,该工具基于概念相似性为设计创意提供灵感。假设概念相似的灵感比随机的灵感对设计创意有显著的影响。协同创意伙伴(CIP)是一个基于概念相似性提供鼓舞人心的图像的协同创意设计系统,旨在研究在设计任务期间概念相似性的人工智能模型对创意的影响。我们进行了一项实验,在控制条件下,从策划的数据库中随机选择图像以获得灵感,在治疗条件下,概念相似性是选择下一个灵感图像的基础。我们的研究结果表明,在处理条件下使用的概念相似的人工智能模型对人类设计构思过程中想法的新颖性、多样性和数量有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effect of AI-based inspiration on human design ideation
ABSTRACT Computational co-creative systems in design allow users to collaborate with an AI partner on open-ended creative tasks in the design process. Co-creative systems can enhance design creativity by inspiring the exploration of novel design solutions in the initial idea generation. However, there are a lack of studies about the effect of co-creative systems on the cognitive process during ideation. This study examines the effect of an AI-based co-creative design tool that provides inspirations based on conceptual similarity on design ideation. It was hypothesized that conceptually similar inspirations have a significant influence on design ideation than random inspirations. The Collaborative Ideation Partner (CIP), a co-creative design system that provides inspirational images based on conceptual similarity, was developed to examine the effect of an AI Model for conceptual similarity on ideation during a design task. We conducted an experiment with a control condition in which the images are selected randomly from a curated database for inspiration and a treatment condition in which conceptual similarity is the basis for selecting the next inspiring image. Our findings show that the AI model of conceptual similarity used in the treatment condition has a significant effect on the novelty, variety, and quantity of ideas during human design ideation.
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来源期刊
CiteScore
3.80
自引率
27.80%
发文量
15
期刊介绍: The International Journal of Design Creativity and Innovation is an international publication that provides a forum for discussing the nature and potential of creativity and innovation in design from both theoretical and practical perspectives. Design creativity and innovation is truly an interdisciplinary academic research field that will interest and stimulate researchers of engineering design, industrial design, architecture, art, and similar areas. The journal aims to not only promote existing research disciplines but also pioneer a new one that lies in the intermediate area between the domains of systems engineering, information technology, computer science, social science, artificial intelligence, cognitive science, psychology, philosophy, linguistics, and related fields. The journal covers, but is not restricted to, the following topics: ·Theories on Design Creativity and Innovation ·Cognition of Design Creativity ·Innovative Process ·Inventive Process ·Analogical Reasoning for Design Creativity and Innovation ·Design Synthesis ·Method and Tools for Design Creativity and Innovation ·Representation of Design Creativity and Innovation ·Education for Design Creativity and Innovation ·Concept Generation and Inspiration.
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