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    Generative Transformers for Design Concept Generation 

    Source: Journal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 004:;page 41003
    Author(s): Zhu, Qihao;Luo, Jianxi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Generating novel and useful concepts is essential during the early design stage to explore a large variety of design opportunities, which usually requires advanced design thinking ability and a wide range of knowledge from ...
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    Generative Transformers for Design Concept Generation 

    Source: Journal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 004:;page 41003-1
    Author(s): Zhu, Qihao; Luo, Jianxi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Generating novel and useful concepts is essential during the early design stage to explore a large variety of design opportunities, which usually requires advanced design thinking ability and a wide range of knowledge from ...
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    Toward Artificial Empathy for Human-Centered Design 

    Source: Journal of Mechanical Design:;2023:;volume( 146 ):;issue: 006:;page 61401-1
    Author(s): Zhu, Qihao; Luo, Jianxi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the early stages of the design process, designers explore opportunities by discovering unmet needs and developing innovative concepts as potential solutions. From a human-centered design perspective, designers must ...
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    Reading Users' Minds With Large Language Models: Mental Inference for Artificial Empathy in Design 

    Source: Journal of Mechanical Design:;2025:;volume( 147 ):;issue: 006:;page 61401-1
    Author(s): Zhu, Qihao; Chong, Leah; Yang, Maria; Luo, Jianxi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In human-centered design, developing a comprehensive and in-depth understanding of user experiences—empathic understanding—is paramount for designing products that truly meet human needs. Nevertheless, accurately comprehending ...
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    Biologically Inspired Design Concept Generation Using Generative Pre-Trained Transformers 

    Source: Journal of Mechanical Design:;2023:;volume( 145 ):;issue: 004:;page 41409-1
    Author(s): Zhu, Qihao; Zhang, Xinyu; Luo, Jianxi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Biological systems in nature have evolved for millions of years to adapt and survive the environment. Many features they developed can be inspirational and beneficial for solving technical problems in modern industries. ...
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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
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