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 …

Abstract Design thinking is often hidden and implicit, so empirical approach based on
experiments and data-driven methods has been the primary way of doing such research. In …

Computational modeling of the human sequential design process and successful prediction
of future design decisions are fundamental to design knowledge extraction, transfer, and the …

During a design process, designers iteratively go back and forth between different design
stages to explore the design space and search for the best design solution that satisfies all …

The development of cloud-based Computer-aided design (CAD) enabled real-time CAD
collaboration between multiple designers. While this technology has great potential to …

In this paper, we develop a design agent based on reinforcement learning to mimic human
design behaviours. A data-driven reward mechanism based on the Markov chain model is …

During engineering design, different representations are used to convey information about a
systems' components, functionality, spatial layout, and interdependencies. These varying …

Understanding design processes and behaviors is important for building more effective
design outcomes. During design tasks, teams exhibit sequences of actions that form …

Customer preference modeling provides quantitative assessment of the effects of
engineering design attributes on customers' choices. Utility-based approaches, such as …

There are three approaches to studying designers–through their cognitive profile, design
behaviors, and design artifacts (eg, quality). However, past work has rarely considered all …