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    The Impact of Sustainability on Consumer Preference Judgments of Product Attributes 

    Source: Journal of Mechanical Design:;2015:;volume( 137 ):;issue: 008:;page 81401
    Author(s): Goucher; Cagan, Jonathan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Despite significant interest from consumers, sustainable products often struggle to find success in the marketplace. This failure is frequently attributed to the perception that consumers remain unwilling to sacrifice ...
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    Do Human and Computational Evaluations of Similarity Align? An Empirical Study of Product Function 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 004:;page 41404-1
    Author(s): Nandy, Ananya; Goucher-Lambert, Kosa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Function drives many early design considerations in product development, highlighting the importance of finding functionally similar examples if searching for sources of inspiration or evaluating designs against existing ...
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    Comparing and Evaluating Human and Computationally Derived Representations of Non-Semantic Design Information 

    Source: Journal of Mechanical Design:;2023:;volume( 146 ):;issue: 003:;page 31401-1
    Author(s): Kwon, Elisa; Goucher-Lambert, Kosa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Design artifacts provide a mechanism for illustrating design information and concepts, but their effectiveness relies on alignment across design agents in what these artifacts represent. This work investigates the agreement ...
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    Investigating Complex Sketch Recognition Strategies for Developing Future Design Tools 

    Source: Journal of Mechanical Design:;2026:;volume( 148 ):;issue:004
    Author(s): Baudoux, Gaëlle; Goucher-Lambert, Kosa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Despite recent advances in multi-modal artificial intelligence (AI) technology, there remains a significant gap in their ability to be incorporated into complex design and engineering work. One such challenge ...
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    Exploring the Effectiveness of Interactive Preference Learning for Adapting Designs to Abstract Semantic Attributes 

    Source: Journal of Mechanical Design:;2026:;volume( 148 ):;issue:004:;page 4
    Author(s): Nandy, Ananya; Goucher-Lambert, Kosa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Abstract semantic attributes of designs (e.g., comfortable, luxurious, and durable) play a significant role in the assessment of user-facing products, capturing intangible factors that people may consider aside ...
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    Inside the Mind: Using Neuroimaging to Understand Moral Product Preference Judgments Involving Sustainability 

    Source: Journal of Mechanical Design:;2017:;volume( 139 ):;issue: 004:;page 41103
    Author(s): Goucher-Lambert, Kosa; Moss, Jarrod; Cagan, Jonathan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Trying to decide whether to purchase a sustainable product often puts decision makers in a difficult situation, especially if the more sustainable option provides less desirable features or costs a premium. This paper ...
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    Adaptive Inspirational Design Stimuli: Using Design Output to Computationally Search for Stimuli That Impact Concept Generation 

    Source: Journal of Mechanical Design:;2020:;volume( 142 ):;issue: 009
    Author(s): Goucher-Lambert, Kosa; Gyory, Joshua T.; Kotovsky, Kenneth; Cagan, Jonathan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Design activity can be supported using inspirational stimuli (e.g., analogies, patents) by helping designers overcome impasses or in generating solutions with more positive characteristics during ideation. Design researchers ...
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    Do Large Language Models Produce Diverse Design Concepts? A Comparative Study with Human-Crowdsourced Solutions 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 025 ):;issue: 002:;page 24501-1
    Author(s): Ma, Kevin; Grandi, Daniele; McComb, Christopher; Goucher-Lambert, Kosa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Access to large amounts of diverse design solutions can support designers during the early stage of the design process. In this article, we explored the efficacy of large language models (LLMs) in producing diverse design ...
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    Developing Design Theory Using Large Language Model Agents: A Case Study of C-K Theory 

    Source: Journal of Mechanical Design:;2026:;volume( 148 ):;issue:007:;page 336
    Author(s): Ma, Kevin; Brubaker, Eric Reynolds; Goucher-Lambert, Kosa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Computational simulations have long been used for design and engineering analysis, but there is also a rich history of using simulations to develop design theory. The present work draws inspiration from design, ...
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    The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design 

    Source: Journal of Mechanical Design:;2022:;volume( 145 ):;issue: 003:;page 31401-1
    Author(s): Chong, Leah; Raina, Ayush; Goucher-Lambert, Kosa; Kotovsky, Kenneth; Cagan, Jonathan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Decision-making assistance by artificial intelligence (AI) during design is only effective when human designers properly utilize the AI input. However, designers often misjudge the AI’s and/or their own ability, leading ...
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    DSpace software copyright © 2002-2015  DuraSpace
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