Design cognition

2019 ◽  
pp. 14-48
Author(s):  
Newton D’souza
Keyword(s):  
Design Cognition

Exploring the effect of a visual constraint on students’ design cognition

2020 ◽  
pp. 1-17
Author(s):  
Mohammadali Ashrafganjouei ◽  
John S. Gero
Keyword(s):  
Correspondence Analysis ◽  
Structure Design ◽  
Cognitive Effort ◽  
Statistical Testing ◽  
Problem Solution ◽  
Design Cognition ◽  
Problem Framing ◽  
Group A ◽  
Structure Index ◽  
Retrospective Reporting

Abstract 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 architecture students volunteered to participate. Each of them undertook similar conceptual design briefs in two different conditions, one with and another without a visual constraint. Retrospective reporting was used to collect the verbalization of participants. The FBS ontology was used to model the design cognition of the participants by coding their design protocols. A dynamic analysis was used to study the differences between the two conditions based on the problem–solution index. A further index, the pre-structure–post-structure index, was proposed to measure design behavior differences between the two conditions. The correspondence analysis was used to explore the effect of gender. There were statistically significant differences in the distributions of cognitive effort between the two groups. These differences include in the visual constraint group a decrease in the focus on behavior before structure and in the processes related to it, compared to the non-visual constraint group. The non-visual constraint group changed their focus on problem framing and solving while adding a visual constraint led participants to focus simultaneously on both framing and solving. The visual constraint group had a different attention temporally to pre- and post-structure design processes during designing than the non-visual constraint group. The order of experiencing the two design sessions had only a small effect. The results of correspondence analysis demonstrate that there are categorical gender differences not found using statistical testing.

scholarly journals A Systematic Review of Protocol Studies on Conceptual Design Cognition

2017 ◽  
pp. 135-153 ◽  
Author(s):  
Laura Hay ◽  
Chris McTeague ◽  
Alex H. B. Duffy ◽  
Laura M. Pidgeon ◽  
Tijana Vuletic ◽  
...  
Keyword(s):  
Systematic Review ◽  
Conceptual Design ◽  
Design Cognition

scholarly journals Heterogeneous Simulated Annealing Teams: An Optimizing Search Algorithm Inspired by Engineering Design Teams

2018 ◽  
Author(s):  
Christopher McComb ◽  
Jonathan Cagan ◽  
Kenneth Kotovsky
Keyword(s):  
Simulated Annealing ◽  
Engineering Design ◽  
Simulated Annealing Algorithm ◽  
Search Algorithm ◽  
Random Search ◽  
Design Teams ◽  
Design Cognition ◽  
Gradient Based ◽  
Multi Agent ◽  
Annealing Algorithms

Although insights uncovered by design cognition are often utilized to develop the methods used by human designers, using such insights to inform computational methodologies also has the potential to improve the performance of design algorithms. This paper uses insights from research on design cognition and design teams to inform a better simulated annealing search algorithm. Simulated annealing has already been established as a model of individual problem solving. This paper introduces the Heterogeneous Simulated Annealing Team (HSAT) algorithm, a multi-agent simulated annealing algorithm. Each agent controls an adaptive annealing schedule, allowing the team develop heterogeneous search strategies. Such diversity is a natural part of engineering design, and boosts performance in other multi-agent algorithms. Further, interaction between agents in HSAT is structured to mimic interaction between members of a design team. Performance is compared to several other simulated annealing algorithms, a random search algorithm, and a gradient-based algorithm. Compared to other algorithms, the team-based HSAT algorithm returns better average results with lower variance.

Understanding Design Cognition in Computational and Generative Design

2021 ◽  
pp. 58-100
Author(s):  
Rongrong Yu ◽  
Ning Gu ◽  
Michael J. Ostwald
Keyword(s):  
Design Cognition ◽  
Generative Design

Cognitive Challenges for Teamwork in Design

2017 ◽  
pp. 55-75 ◽  
Author(s):  
Ju Hyun Lee ◽  
Michael J. Ostwald ◽  
Ning Gu
Keyword(s):  
Experimental Data ◽  
Design Theory ◽  
Spatial Representation ◽  
Parametric Design ◽  
Design Strategy ◽  
Design Teams ◽  
Design Cognition ◽  
Cognitive Space ◽  
Design Experiments ◽  
Cognitive Challenges

This chapter combines experimental data and established design theory to examine four issues associated with design cognition that contribute to an improved understanding of creativity and teamwork in design. Drawing on data developed from two parametric design experiments undertaken by the authors, this chapter investigates the implications of (i) cognitive space, (ii) design strategy, (iii) design productivity and (iv) spatial representation, for individuals, and by inference, for groups and educators. Through this process the chapter develops a deeper understanding of the cognitive challenges facing design teams and educators of those teams.

Confirmation and Cognitive Bias in Design Cognition

2012 ◽  
Author(s):  
Gregory M. Hallihan ◽  
Hyunmin Cheong ◽  
L. H. Shu
Keyword(s):  
Information Processing ◽  
Analogical Reasoning ◽  
Design Research ◽  
Cognitive Biases ◽  
Confirmation Bias ◽  
Psychological Research ◽  
Human Information Processing ◽  
Concept Generation ◽  
Design Cognition ◽  
Concept Evaluation

The desire to better understand design cognition has led to the application of literature from psychology to design research, e.g., in learning, analogical reasoning, and problem solving. Psychological research on cognitive heuristics and biases offers another relevant body of knowledge for application. Cognitive biases are inherent biases in human information processing, which can lead to suboptimal reasoning. Cognitive heuristics are unconscious rules utilized to enhance the efficiency of information processing and are possible antecedents of cognitive biases. This paper presents two studies that examined the role of confirmation bias, which is a tendency to seek and interpret evidence in order to confirm existing beliefs. The results of the first study, a protocol analysis involving novice designers engaged in a biomimetic design task, indicate that confirmation bias is present during concept generation and offer additional insights into the influence of confirmation bias in design. The results of the second study, a controlled experiment requiring participants to complete a concept evaluation task, suggest that decision matrices are effective tools to reduce confirmation bias during concept evaluation.

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