An experimental approach to understanding design problem structuring strategies

This study has developed an experimental approach to understanding the effectiveness of problem structuring strategies such as decomposition modes and control strategies. Participants were randomly recruited to individually complete a design problem in a lab, and their design outcomes, including ske...

Full description

Saved in:
Bibliographic Details
Published in:Journal of Design Research (JDR) 2016, Vol.14 (1), p.94-117
Main Authors: Sun, Ganyun, Yao, Shengji, Carretero, Juan A
Format: Article
Language:English
Subjects:
Case depth
Data processing
Decomposition
Design engineering
Education
Human
Sketches
Strategy
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study has developed an experimental approach to understanding the effectiveness of problem structuring strategies such as decomposition modes and control strategies. Participants were randomly recruited to individually complete a design problem in a lab, and their design outcomes, including sketches and retrospective verbal protocols, were collected. The effectiveness of problem structuring was represented as the ratio of output to input of the human information processing system: the output was the quality of design outcomes, and the input was participants' mental effort normalised by the complexity of problem structuring. The case study has shown that the participants who applied the explicit decomposition mode and the breadth-first strategy had significantly higher effectiveness scores than those who applied the implicit mode and the depth-first strategy. The results suggest that effective problem structuring strategies should be encouraged in design idea generation and design education.
ISSN:1748-3050
1569-1551
DOI:10.1504/JDR.2016.074778