Creative collaboration with interactive evolutionary algorithms: a reflective exploratory design study

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Severi Uusitalo, Anna Kantosalo, Antti Salovaara, Tapio Takala, Christian Guckelsberger
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引用次数: 0

Abstract

Progress in AI has brought new approaches for designing products via co-creative human–computer interaction. In architecture, interior design, and industrial design, computational methods such as evolutionary algorithms support the designer’s creative process by revealing populations of computer-generated design solutions in a parametric design space. Because the benefits and shortcomings of such algorithms’ use in design processes are not yet fully understood, the authors studied the intricate interactions of an industrial designer employing an interactive evolutionary algorithm for a non-trivial creative product design task. In an in-depth report on the in-situ longitudinal experiences arising between the algorithm, human designer, and environment, from ideation to fabrication, they reflect on the algorithm’s role in inspiring design, its relationship to fixation, and the stages of the creative process in which it yielded perceived value. The paper concludes with proposals for future research into co-creative AI in design exploration and creative practice.

Abstract Image

交互式进化算法的创意合作:反思性探索设计研究
人工智能的进步为通过人机互动共同创造性地设计产品带来了新方法。在建筑、室内设计和工业设计中,进化算法等计算方法通过揭示参数化设计空间中计算机生成的设计方案群,为设计师的创意过程提供支持。由于人们尚未完全了解在设计过程中使用这类算法的益处和不足,作者研究了一位工业设计师在一项非同小可的创意产品设计任务中使用交互式进化算法的复杂交互过程。在对算法、人类设计师和环境之间从构思到制造的现场纵向体验的深入报告中,他们思考了算法在激发设计灵感方面的作用、算法与固定化的关系以及算法在创意过程中产生感知价值的阶段。论文最后提出了在设计探索和创意实践中对人工智能协同创造性进行未来研究的建议。
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来源期刊
Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines 工程技术-计算机:理论方法
CiteScore
5.90
自引率
3.80%
发文量
19
审稿时长
6 months
期刊介绍: A unique source reporting on methods for artificial evolution of programs and machines... Reports innovative and significant progress in automatic evolution of software and hardware. Features both theoretical and application papers. Covers hardware implementations, artificial life, molecular computing and emergent computation techniques. Examines such related topics as evolutionary algorithms with variable-size genomes, alternate methods of program induction, approaches to engineering systems development based on embryology, morphogenesis or other techniques inspired by adaptive natural systems.
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