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    StepIdeator: Utilizing Mixed Representations to Support Step-By-Step Design With Generative Artificial Intelligence

    Source: Journal of Mechanical Design:;2025:;volume( 147 ):;issue: 007::page 71703-1
    Author:
    Yao, Jiayi
    ,
    Chen, Pei
    ,
    Li, Zhuoshu
    ,
    Cai, Yichen
    ,
    Wu, Yexinrui
    ,
    You, Weitao
    ,
    Sun, Lingyun
    DOI: 10.1115/1.4067426
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the product conceptual design, designers utilize multiple design representations to ideate, externalize, and refine concepts iteratively. Mixed representations, defined as the simultaneous presentation of multiple representations, foster deeper insights and facilitate broader exploration compared to focusing on a single representation. However, designers often struggle with the cumbersome process of creating, transforming, and refining these representations. Advanced artificial intelligence (AI) capabilities now significantly lower the barriers to creating text, images, and 3D models, presenting substantial potential for application in design practice. However, the current design tools based on generative AI tend to produce polished product images directly, hindering designers from continuously deliberating on mixed representations and thus limiting their creative potential. Therefore, on the basis of a formative study, we propose StepIdeator, a step-by-step design tool driven by generative AI. This tool facilitates seamless transition and refinement of mixed-design representations. Through a comparative study (N = 16), we validated StepIdeator's effectiveness in improving idea externalization and enhancing creativity. Furthermore, the results revealed that designers perceived greater confidence, ownership, and sense of contribution when collaborating with StepIdeator.
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      StepIdeator: Utilizing Mixed Representations to Support Step-By-Step Design With Generative Artificial Intelligence

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    contributor authorYao, Jiayi
    contributor authorChen, Pei
    contributor authorLi, Zhuoshu
    contributor authorCai, Yichen
    contributor authorWu, Yexinrui
    contributor authorYou, Weitao
    contributor authorSun, Lingyun
    date accessioned2025-04-21T10:10:52Z
    date available2025-04-21T10:10:52Z
    date copyright1/30/2025 12:00:00 AM
    date issued2025
    identifier issn1050-0472
    identifier othermd_147_7_071703.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305655
    description abstractIn the product conceptual design, designers utilize multiple design representations to ideate, externalize, and refine concepts iteratively. Mixed representations, defined as the simultaneous presentation of multiple representations, foster deeper insights and facilitate broader exploration compared to focusing on a single representation. However, designers often struggle with the cumbersome process of creating, transforming, and refining these representations. Advanced artificial intelligence (AI) capabilities now significantly lower the barriers to creating text, images, and 3D models, presenting substantial potential for application in design practice. However, the current design tools based on generative AI tend to produce polished product images directly, hindering designers from continuously deliberating on mixed representations and thus limiting their creative potential. Therefore, on the basis of a formative study, we propose StepIdeator, a step-by-step design tool driven by generative AI. This tool facilitates seamless transition and refinement of mixed-design representations. Through a comparative study (N = 16), we validated StepIdeator's effectiveness in improving idea externalization and enhancing creativity. Furthermore, the results revealed that designers perceived greater confidence, ownership, and sense of contribution when collaborating with StepIdeator.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleStepIdeator: Utilizing Mixed Representations to Support Step-By-Step Design With Generative Artificial Intelligence
    typeJournal Paper
    journal volume147
    journal issue7
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.4067426
    journal fristpage71703-1
    journal lastpage71703-19
    page19
    treeJournal of Mechanical Design:;2025:;volume( 147 ):;issue: 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian