A computer-aided design based research platform for design thinking studies
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 …
experiments and data-driven methods has been the primary way of doing such research. In …
Large data for design research: an educational technology framework for studying design activity using a big data approach
C Schimpf, MH Goldstein - Frontiers in Manufacturing Technology, 2022 - frontiersin.org
The complexity of design problems compels the collection of rich process data to understand
designers. While some methods exist for capturing detailed process data (eg, protocol …
designers. While some methods exist for capturing detailed process data (eg, protocol …
Reflections on designing in the wild: how theories of design information manifest in practice
Abstract Information acquisition, utilization, and communication are integral to the design
process, but systematic investigation of information behavior is complicated by its variety …
process, but systematic investigation of information behavior is complicated by its variety …
Coordination and complexity: an experiment on the effect of integration and verification in distributed design processes
The continuous integration and verification of components is essential in distributed design
processes. Identifying the optimal integration and verification frequency, however, can be …
processes. Identifying the optimal integration and verification frequency, however, can be …
Exploring the effect of a visual constraint on students' design cognition
M Ashrafganjouei, JS Gero - AI EDAM, 2021 - cambridge.org
This paper presents the results of a study that explores the effect of a visual constraint on
design behaviors of architecture students. To examine this effect, 24 second-year …
design behaviors of architecture students. To examine this effect, 24 second-year …
Identification of Design Strategies and Their Effects on Performance Outcomes in Pair Parameter Design Tasks
Understanding design processes and behaviors is important for building more effective
design outcomes. During design tasks, teams exhibit sequences of actions that form …
design outcomes. During design tasks, teams exhibit sequences of actions that form …
Modeling collaboration in parameter design using multiagent learning
This paper presents a model of collaboration in multidisciplinary engineering based on
multiagent learning. Complex engineered systems are often designed through the …
multiagent learning. Complex engineered systems are often designed through the …
[HTML][HTML] Data on multi-actor parameter design tasks by engineering students with variable problem size, coupling, and team size
PT Grogan - Data in brief, 2018 - Elsevier
The experiment studies the effect of technical and social sources of complexity on effort
required to complete abstracted design tasks. Parameter design tasks define a set of input …
required to complete abstracted design tasks. Parameter design tasks define a set of input …
Optimization across decomposition: A multiagent model of collaboration in decomposed system design
DE Hulse - 2018 - ir.library.oregonstate.edu
Complex engineered systems design is a collaborative activity. To design a system, experts
from the relevant disciplines must work together to create the best overall system from their …
from the relevant disciplines must work together to create the best overall system from their …
[PDF][PDF] A CAD-Based Research Platform for Design Thinking Studies
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 support of …
and data-driven methods has been the primary way of doing such research. In support of …