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Challenges and research directions in crowdsourcing for engineering design: An interview study with industry professionals
Crowdsourcing is an emerging paradigm in engineering design for open innovation. It offers
various benefits to crucial aspects of design innovation, such as generating diverse design …
various benefits to crucial aspects of design innovation, such as generating diverse design …
Predicting sequential design decisions using the function-behavior-structure design process model and recurrent neural networks
In engineering systems design, designers iteratively go back and forth between different
design stages to explore the design space and search for the best design solution that …
design stages to explore the design space and search for the best design solution that …
Design strategy network: a deep hierarchical framework to represent generative design strategies in complex action spaces
Generative design problems often encompass complex action spaces that may be divergent
over time, contain state-dependent constraints, or involve hybrid (discrete and continuous) …
over time, contain state-dependent constraints, or involve hybrid (discrete and continuous) …
Manipulating the design space to resolve trade-offs: Theory and evidence
Highlights•Trade-offs between design goals are traditionally studied as optimization
problems.•We use set theory to model role of designer's problem reformulation and …
problems.•We use set theory to model role of designer's problem reformulation and …
A mathematical approach to design verification strategies that incorporate corrective activities as dedicated decisions
System verification activities (VAs) are used to identify potential errors and corrective
activities (CAs) are used to eliminate those errors. However, existing math-based methods to …
activities (CAs) are used to eliminate those errors. However, existing math-based methods to …
Descriptive models of sequential decisions in engineering design: An experimental study
Engineering design involves information acquisition decisions such as selecting designs in
the design space for testing, selecting information sources, and deciding when to stop …
the design space for testing, selecting information sources, and deciding when to stop …
AI-driven decision making for auxiliary diagnosis of epidemic diseases
K Lin, J Liu, J Gao - … on Molecular, Biological, and Multi-Scale …, 2021 - ieeexplore.ieee.org
Delay in diagnosis often leads to difficulties in the treatment of epidemics and disease
spread. Therefore, early diagnosis plays an important role in the control of epidemic …
spread. Therefore, early diagnosis plays an important role in the control of epidemic …
Framing and tracing human-centered design teams' method selection: an examination of decision-making strategies
Designers' choices of methods are well known to shape project outcomes. However,
questions remain about why design teams select particular methods and how teams' …
questions remain about why design teams select particular methods and how teams' …
Scaffolding middle and high school students' engineering design experiences: quality problem-SCOPEing promoting successful solutions
Highly proficient expert engineers begin the iterative process of design by thoroughly
investigating the design problem. Engineering students are often distracted by surface …
investigating the design problem. Engineering students are often distracted by surface …
Comparing the effects of design interventions on the quality of design concepts as a reflection of ideation flexibility
Many tools, techniques, and other interventions have been developed to support idea
generation within the design process. In previous research, we explored the separate effects …
generation within the design process. In previous research, we explored the separate effects …