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RISOnly as Strong as the Strongest Link: The Relative Contribution of Individual Team Member Proficiency in Configuration Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Prior research has demonstrated how the average characteristics of a team impact team performance. The relative contribution of team members has been largely ignored, especially in the context of engineering design. In ...
A Computational Model of Human Proficiency in Engineering Configuration Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This work introduces the Proficient Simulated Annealing Design Agent Model (PSADA), a cognitively inspired, agent-based model of engineering configuration design. PSADA models different proficiency agents using move selection ...
Learning Proficient Behavior With Computational Agents in Engineering Configuration Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A novel approach for computational agents to learn proficient behavior in engineering configuration design that is inspired by human learning is introduced in this work. The learning proficient simulated annealing design ...
Drawing Inspiration From Human Design Teams for Better Search and Optimization: The Heterogeneous Simulated Annealing Teams Algorithm
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Insights uncovered by research in design cognition are often utilized to develop methods used by human designers; in this work, such insights are used to inform and improve computational methodologies. This paper introduces ...
Optimizing Design Teams Based on Problem Properties: Computational Team Simulations and an Applied Empirical Test
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The performance of a team with the right characteristics can exceed the mere sum of the constituent members' individual efforts. However, a team having the wrong characteristics may perform more poorly than the sum of its ...
Capturing Human Sequence-Learning Abilities in Configuration Design Tasks Through Markov Chains
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Designers often search for new solutions by iteratively adapting a current design. By engaging in this search, designers not only improve solution quality but also begin to learn what operational patterns might improve the ...
The Influence of Process Management: Uncovering the Impact of Real-Time Managerial Interventions via a Topic Modeling Approach
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 ...
Human Designers' Dynamic Confidence and Decision-Making When Working With More Than One Artificial Intelligence
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: As artificial intelligence (AI) systems become increasingly capable of performing design tasks, they are expected to be deployed to assist human designers' decision-making in a greater variety of ways. For complex design ...
Form Function Fidelity
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Engineering goals are typically rooted in addressing the functional needs of a product. While these engineering goals and specifications can be important in consumers' buying decisions, many times the first impression of ...
Discovering Structure in Design Databases Through Functional and Surface Based Mapping
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This work presents a methodology for discovering structure in design repository databases, toward the ultimate goal of stimulating designers through designbyanalogy. Using a Bayesian model combined with latent semantic ...