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RISEvaluating Designer Learning and Performance in Interactive Deep Generative Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Deep generative models have shown significant promise in improving performance in design space exploration. But there is limited understanding of their interpretability, a necessity when model explanations are desired and ...
Descriptive Models of Sequential Decisions in Engineering Design: An Experimental Study
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Engineering design involves information acquisition decisions such as selecting designs in the design space for testing, selecting information sources, and deciding when to stop design exploration. Existing literature has ...
Analyzing Participant Behaviors in Design Crowdsourcing Contests Using Causal Inference on Field Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Crowdsourcing is the practice of getting ideas and solving problems using a large number of people on the Internet. It is gaining popularity for activities in the engineering design process ranging from concept generation ...
Modeling Participation Behaviors in Design Crowdsourcing Using a Bipartite Network-Based Approach
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper analyzes participation behaviors in design crowdsourcing by modeling interactions between participants and design contests as a bipartite network. Such a network consists of two types of nodes, participant nodes ...
A Bayesian Hierarchical Model for Extracting Individuals’ TheoryBased Causal Knowledge
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Extracting an individual’s scientific knowledge is essential for improving educational assessment and understanding cognitive tasks in engineering activities such as reasoning and decisionmaking. However, knowledge extraction ...
Modeling Participation Behaviors in Design Crowdsourcing Using a Bipartite Network-Based Approach
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: This paper analyzes participation behaviors in design crowdsourcing by modeling interactions between participants and design contests as a bipartite network. Such a network consists of two types of nodes, participant nodes ...
Co-Evolution of Communication and System Performance in Engineering Systems Design: A Stochastic Network-Behavior Dynamics Model
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Engineering systems design is a dynamic socio-technical process where the social factors, such as interdisciplinary interactions, and technical factors, such as design interdependence and the design state, co-evolve. ...
Designing Representative Model Worlds to Study Socio-Technical Phenomena: A Case Study of Communication Patterns in Engineering Systems Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The engineering of complex systems, such as aircraft and spacecraft, involves large number of individuals within multiple organizations spanning multiple years. Since it is challenging to perform empirical studies directly ...
A Bayesian Hierarchical Model for Extracting Individuals’ Theory-Based Causal Knowledge
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Extracting an individual’s scientific knowledge is essential for improving educational assessment and understanding cognitive tasks in engineering activities such as reasoning and decision-making. However, knowledge ...