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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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    The Influence of Process Management: Uncovering the Impact of Real-Time Managerial Interventions via a Topic Modeling Approach 

    Source: Journal of Mechanical Design:;2021:;volume( 143 ):;issue: 011:;page 0111401-1
    Author(s): Gyory, Joshua T.; Kotovsky, Kenneth; Cagan, Jonathan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Computationally studying team discourse can provide valuable, real-time insights into the state of design teams and design cognition during problem-solving. The particular experimental design, adopted from previous work ...
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    Independence or Interaction? Understanding the Benefits and Limitations of Nominally Inspired and Interacting Sub-Structured Teams in a Virtual and Interdisciplinary Engineering Design Task 

    Source: Journal of Mechanical Design:;2023:;volume( 145 ):;issue: 005:;page 51405-1
    Author(s): Gyory, Joshua T.; Soria Zurita, Nicolás F.; Cagan, Jonathan; McComb, Christopher
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Teams are common throughout engineering practice and industry when solving complex, interdisciplinary problems. Previous works in engineering problem solving have studied the effectiveness of teams and individuals, showing ...
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    Adaptation Through Communication: Assessing Human–Artificial Intelligence Partnership for the Design of Complex Engineering Systems 

    Source: Journal of Mechanical Design:;2024:;volume( 146 ):;issue: 008:;page 81401-1
    Author(s): Xu, Zeda; Hong, Chloe Soohwa; Soria Zurita, Nicolás F.; Gyory, Joshua T.; Stump, Gary; Nolte, Hannah; Cagan, Jonathan; McComb, Christopher
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Exploring the opportunities for incorporating Artificial Intelligence (AI) to support team problem-solving has been the focus of intensive ongoing research. However, while the incorporation of such AI tools into human team ...
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    Human Versus Artificial Intelligence: A Data-Driven Approach to Real-Time Process Management During Complex Engineering Design 

    Source: Journal of Mechanical Design:;2021:;volume( 144 ):;issue: 002:;page 21405-1
    Author(s): Gyory, Joshua T.; Soria Zurita, Nicolás F.; Martin, Jay; Balon, Corey; McComb, Christopher; Kotovsky, Kenneth; Cagan, Jonathan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Managing the design process of teams has been shown to considerably improve problem-solving behaviors and resulting final outcomes. Automating this activity presents significant opportunities in delivering interventions ...
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