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AI as a co-creator and a design material: Transforming the design process 人工智能作为共同创造者和设计材料：改变设计过程
IF 3.2 1区 工程技术 Q2 ENGINEERING, MANUFACTURING
Design Studies
Pub Date : 2025-02-19 DOI: 10.1016/j.destud.2025.101303
Wendy Fangwen Yu
Recent advancements in Artificial Intelligence (AI) have created new opportunities for incorporating AI into creative activities. Consequently, AI has become an increasingly significant tool in the design process, changing traditional workflows. This paper explores AI's role as both a co-creator and a design material, focusing on its impact on the ideation and evaluation stages of the design process. Through a transdisciplinary literature review, this study reveals that AI enhances creativity by providing inspirational stimuli, and supports evaluation and decision-making. However, it also introduces complexities such as cognitive overload and dependency. This paper emphasizes the need for design education reform, and training students as Designer Arbiters and Integrators to effectively collaborate with AI in a rapidly evolving technological landscape.
人工智能（AI）的最新进展为将AI纳入创造性活动创造了新的机会。因此，人工智能已经成为设计过程中越来越重要的工具，改变了传统的工作流程。本文探讨了人工智能作为共同创造者和设计材料的角色，重点关注其对设计过程的构思和评估阶段的影响。通过跨学科文献综述，本研究揭示了人工智能通过提供灵感刺激来增强创造力，并支持评估和决策。然而，它也引入了认知超载和依赖等复杂性。本文强调了设计教育改革的必要性，并将学生培养为设计师仲裁者和集成商，以便在快速发展的技术环境中有效地与人工智能合作。
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引用次数: 0
Planning design value-driven scenarios for innovation: A case study of adaptive reuse for food production based on the design management model 规划设计价值驱动的创新场景：基于设计管理模型的食品生产适应性再利用案例研究
IF 3.2 1区 工程技术 Q2 ENGINEERING, MANUFACTURING
Design Studies
Pub Date : 2025-02-08 DOI: 10.1016/j.destud.2025.101299
Monika Szopińska-Mularz
Effective management of adaptive reuse projects is essential for repurposing buildings to meet local needs with innovative uses. Shifting from project-based to research-based design empowers architects to lead value-driven projects. This study sets two correlated aims: to develop the value-driven design scenario for the adaptive reuse of a car parking structure for controlled environment agriculture and to evaluate the impact of architects on design management and organisational performance by applying the ‘Designence 2.0’ model. The results indicate that employing research-based design methods leads to a better understanding of the design problem and guides the adaptive reuse process towards value-driven outcomes. As leaders in adaptive reuse projects, architects contribute to financial and non-financial benefits for organisational performance through their design expertise.
有效地管理活化再利用项目，是改造建筑物，以创新用途满足本地需要的关键。从基于项目的设计转变为基于研究的设计使架构师能够领导价值驱动的项目。本研究设定了两个相关的目标：为可控环境农业停车场结构的适应性再利用开发价值驱动的设计方案，并通过应用“设计2.0”模型评估建筑师对设计管理和组织绩效的影响。研究结果表明，采用基于研究的设计方法可以更好地理解设计问题，并引导自适应重用过程走向价值驱动的结果。作为适应性重用项目的领导者，架构师通过他们的设计专业知识为组织绩效贡献了财务和非财务效益。
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引用次数: 0
Why move during virtual reality sketching? Experimental study to improve the quality of sketches in virtual reality 为什么在虚拟现实草图中移动？提高虚拟现实中草图质量的实验研究
IF 3.2 1区 工程技术 Q2 ENGINEERING, MANUFACTURING
Design Studies
Pub Date : 2025-02-07 DOI: 10.1016/j.destud.2025.101298
Noémie Chaniaud, Sylvain Fleury, Benjamin Poussard, Thibaut Guitter, Simon Richir
Virtual Reality (VR) sketching is a valuable tool for conceptual understanding, creativity, and design, but quality issues can hinder its adoption. To address this, we conducted a study involving 15 novices and 15 experts who sketched three chair models in static, mobile, and control conditions. The results showed that mental rotation skills, training, model type, and movement impact sketch quality. The static condition negatively affected performance, particularly volume and proportion. Conversely, the mobile condition didn't improve sketch quality compared to the control group. 3D perception seems tied to movement, highlighting the need to adapt VR sketching software for these challenges. Enhancing the user experience and addressing these quality concerns will be pivotal in the widespread acceptance of VR sketching tools.
虚拟现实（VR）草图是概念理解、创造力和设计的宝贵工具，但质量问题可能会阻碍其采用。为了解决这个问题，我们进行了一项研究，涉及15名新手和15名专家，他们在静态，移动和控制条件下绘制了三个椅子模型。结果表明，心理旋转技能、训练、模型类型和运动对素描质量有影响。静态条件对性能产生负面影响，尤其是体积和比例。相反，与对照组相比，移动条件并没有提高素描质量。3D感知似乎与运动有关，突出了适应这些挑战的VR素描软件的必要性。增强用户体验和解决这些质量问题将是VR素描工具被广泛接受的关键。
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引用次数: 0
Generative AI-enhanced human-AI collaborative conceptual design: A systematic literature review 生成人工智能增强的人类-人工智能协同概念设计：系统的文献综述
IF 3.2 1区 工程技术 Q2 ENGINEERING, MANUFACTURING
Design Studies
Pub Date : 2025-02-03 DOI: 10.1016/j.destud.2025.101300
Cong Fang, Yujie Zhu, Le Fang, Yonghao Long, Huan Lin, Yangfan Cong, Stephen Jia Wang
Generative Artificial Intelligence (GenAI) has gained increasing attention, enhancing design productivity by elevating creativity within the conceptual design process. Despite these advancements, how GenAI will influence the conceptual design process and methods remains ambiguous, hindering its full potential. This study introduces a systematic literature review to explore GenAI's role in the conceptual design process, emphasizing the GenAI-human interactions and collaborations. We offer a critical evaluation of the current state of GenAI-human collaboration, identifying challenges, opportunities, and future research directions to leverage GenAI's design potential for enhancing creativity in conceptual design practice. Finally, a Generative AI Enhanced Conceptual Design framework was further proposed to clarify the potential collaborative design process, which can serve as a guideline for effective human-AI collaboration in the conceptual design process.
生成式人工智能（GenAI）越来越受到人们的关注，它通过在概念设计过程中提升创造力来提高设计效率。尽管取得了这些进步，GenAI将如何影响概念设计过程和方法仍然不明确，阻碍了其充分发挥潜力。本研究通过系统的文献综述，探讨了GenAI在概念设计过程中的作用，强调了GenAI与人类的互动和协作。我们对GenAI与人类合作的现状进行了批判性评估，确定了挑战、机遇和未来的研究方向，以利用GenAI的设计潜力来增强概念设计实践中的创造力。最后，进一步提出了一个生成式人工智能增强概念设计框架，以阐明潜在的协同设计过程，该框架可作为概念设计过程中人类与人工智能有效协作的指导方针。
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引用次数: 0
A new model of participatory design to improve social impact: Incorporating action research into the design of appropriate technology in rural Zambia 提高社会影响的参与式设计新模式：将行动研究纳入赞比亚农村适当技术的设计
IF 3.2 1区 工程技术 Q2 ENGINEERING, MANUFACTURING
Design Studies
Pub Date : 2025-01-28 DOI: 10.1016/j.destud.2025.101296
Adam H. Lyman, Kimberly Chung
Participatory design (PD) holds promise for developing appropriate technologies in low-income countries; yet there is little evidence of designs that are adopted by partner communities. To improve the fit and adoptability of new technologies, we developed a design model that integrates cooperative inquiry (CI), a form of action research, into the practice of PD and apply it to the design of a heavy-duty handcart in rural Zambia. The study is unique because it results in designs that are adopted and impact local work patterns. We attribute this success to a PD process that is enhanced and deepened by experiential and co-learning processes engendered by CI. We argue that incorporating CI can improve PD practices and the adoptability of PD-designed technologies.
参与式设计（PD）有望在低收入国家开发适当的技术；然而，几乎没有证据表明合作伙伴社区采用了设计。为了提高新技术的适应性和可接受性，我们开发了一种设计模型，将合作探究（CI），一种行动研究形式，整合到PD实践中，并将其应用于赞比亚农村重型手推车的设计中。这项研究是独一无二的，因为它的设计结果被采用并影响了当地的工作模式。我们将这一成功归功于由CI产生的经验和共同学习过程增强和深化的PD过程。我们认为，整合CI可以改善PD实践和PD设计技术的可采用率。
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引用次数: 0
IF 3.2 1区 工程技术 Q2 ENGINEERING, MANUFACTURING
Design Studies
Pub Date : 2025-01-01
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引用次数: 0
AI-against-design map: A systematic review of 20 years of AI-focused studies in design research 人工智能对抗设计地图：对20年来设计研究中以人工智能为重点的研究的系统回顾
IF 3.2 1区 工程技术 Q2 ENGINEERING, MANUFACTURING
Design Studies
Pub Date : 2025-01-01 DOI: 10.1016/j.destud.2024.101279
Fabio Antonio Figoli, Ryan Bruggeman, Lucia Rampino, Paolo Ciuccarelli
In the rapidly evolving field of Artificial Intelligence (AI) in design, identifying key subjects and their development over time can be challenging. This study addresses this challenge through a systematic review of AI in design literature over the past 20 years, aiming to discern major academic trajectories. To manage the fragmented nature of the literature, we developed the ‘AI-against-design’ method, an interpretative approach capable of identifying the scholars' position, intended as Position = Place ∪ Proposition, which creates a coherent body of literature and highlights key discourse patterns. This approach led to the development of the ‘AI-against-design’ map, which provides insights into current trends and serves as a tool for exploring future research directions. The scalability of this method and map allows for the future inclusion of additional sources and adaptation to other studies. This framework promises to enhance understanding and stimulate new academic inquiries into AI's role in design.
在快速发展的人工智能（AI）设计领域，确定关键主题及其随时间的发展可能具有挑战性。本研究通过对过去20年设计文献中人工智能的系统回顾来解决这一挑战，旨在辨别主要的学术轨迹。为了管理文献的碎片性，我们开发了“人工智能反设计”方法，这是一种能够识别学者立场的解释性方法，即位置=地点∪命题，它创建了一个连贯的文献体，并突出了关键的话语模式。这种方法导致了“人工智能对抗设计”地图的发展，该地图提供了对当前趋势的见解，并作为探索未来研究方向的工具。这种方法和地图的可扩展性允许未来纳入其他来源和适应其他研究。这个框架有望增进对人工智能在设计中的作用的理解，并激发新的学术研究。
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引用次数: 0
IF 3.2 1区 工程技术 Q2 ENGINEERING, MANUFACTURING
Design Studies
Pub Date : 2025-01-01
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引用次数: 0
IF 3.2 1区 工程技术 Q2 ENGINEERING, MANUFACTURING
Design Studies
Pub Date : 2025-01-01
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引用次数: 0
IF 3.2 1区 工程技术 Q2 ENGINEERING, MANUFACTURING
Design Studies
Pub Date : 2025-01-01
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引用次数: 0
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