Does Using Different Concept Generation Techniques Change the Design Cognition of Design Students?

2012 ◽  
Author(s):  
John S. Gero ◽  
Hao Jiang ◽  
Christopher B. Williams
Keyword(s):  
Undergraduate Education ◽  
Morphological Analysis ◽  
Engineering Students ◽  
Protocol Analysis ◽  
Concept Generation ◽  
Design Cognition ◽  
Land Grant University ◽  
Preliminary Results ◽  
Generation Technique ◽  
Coding Scheme

This paper presents the preliminary results of protocol studies to determine the effects of teaching different concept generation techniques to engineering students on their design cognition. Twenty-two mechanical engineering students were given instructions in the three concept generation techniques of brainstorming, morphological analysis and TRIZ as part of their undergraduate education at a large land grant university. After the instruction for each concept generation technique, the students were formed into the same teams of two. Each team was given the same set of three design tasks, one for each concept generation technique, while their verbalization and gestures were videoed as they designed for a period of 45 minutes. Students’ design cognition was examined by protocol analysis using the FBS ontologically-based coding scheme. Preliminary results indicate that statistically significant differences in students’ design cognition were observed when using different concept generation techniques.

scholarly journals Concept generation techniques change patterns of brain activation during engineering design

2020 ◽  
Vol 6 ◽  
Author(s):  
Tripp Shealy ◽  
John Gero ◽  
Mo Hu ◽  
Julie Milovanovic
Keyword(s):  
Prefrontal Cortex ◽  
Morphological Analysis ◽  
Engineering Students ◽  
Near Infrared ◽  
Brain Activation ◽  
Brain Regions ◽  
Concept Generation ◽  
Functional Near Infrared Spectroscopy ◽  
Cognitive Activation ◽  
The Brain

Abstract This paper presents the results of studying the brain activations of 30 engineering students when using three different design concept generation techniques: brainstorming, morphological analysis, and TRIZ. Changes in students’ brain activation in the prefrontal cortex were measured using functional near-infrared spectroscopy. The results are based on the area under the curve analysis of oxygenated hemodynamic response as well as an assessment of functional connectivity using Pearson’s correlation to compare students’ cognitive brain activations using these three different ideation techniques. The results indicate that brainstorming and morphological analysis demand more cognitive activation across the prefrontal cortex (PFC) compared to TRIZ. The highest cognitive activation when brainstorming and using morphological analysis is in the right dorsolateral PFC (DLPFC) and ventrolateral PFC. These regions are associated with divergent thinking and ill-defined problem-solving. TRIZ produces more cognitive activation in the left DLPFC. This region is associated with convergent thinking and making judgments. Morphological analysis and TRIZ also enable greater coordination (i.e., synchronized activation) between brain regions. These findings offer new evidence that structured techniques like TRIZ reduce cognitive activation, change patterns of activation and increase coordination between regions in the brain.

Comparing Ideation Techniques for Beginning Designers

2016 ◽  
Vol 138 (10) ◽  
Author(s):  
Shanna R. Daly ◽  
Colleen M. Seifert ◽  
Seda Yilmaz ◽  
Richard Gonzalez
Keyword(s):  
Design Problem ◽  
Morphological Analysis ◽  
Engineering Students ◽  
Idea Generation ◽  
First Year ◽  
Concept Generation ◽  
Design Heuristics ◽  
Engineering Design Problem ◽  
Consensual Assessment Technique ◽  
Initial Idea

Concept generation techniques can help to support designers in generating multiple ideas during design tasks. However, differences in the ways these techniques guide idea generation are not well understood. This study investigated the qualities of concepts generated by beginning engineering designers using one of three different idea generation techniques. Working individually on an open-ended engineering design problem, 102 first year engineering students learned and applied one of three different ideation techniques—design heuristics, morphological analysis, or individual brainstorming (using brainstorming rules to generate ideas working alone)—to a given design problem. Using the consensual assessment technique, all concepts were rated for creativity, elaboration, and practicality, and all participants' concept sets were rated for quantity and diversity. The simplest technique, individual brainstorming, led to the most concepts within the short (25 minute) ideation session. All three techniques produced creative concepts averaging near the scale midpoint. The elaboration of the concepts was significantly higher with design heuristics and morphological analysis techniques, and the practicality was significantly higher using design heuristics. Controlling for number of concepts generated, there were no significant differences in diversity of solution sets across groups. These results demonstrate that the use of design heuristics does not limit the creativity of ideation outcomes, and helps students to develop more elaborate and practical ideas. Design heuristics show advantages in the initial idea generation phase for beginning engineering students. These findings point to specific strengths in different ideation techniques, and the value of exposing beginning designers to multiple techniques for idea generation.

Exploring the Effect of Design Education on the Design Cognition of Mechanical Engineering Students

2011 ◽  
Author(s):  
Christopher B. Williams ◽  
John Gero ◽  
Yoon Lee ◽  
Marie Paretti
Keyword(s):  
Design Education ◽  
Mechanical Engineering ◽  
Engineering Students ◽  
Design Thinking ◽  
Ad Hoc ◽  
Protocol Analysis ◽  
Design Cognition ◽  
Before And After ◽  
Protocol Study ◽  
The Impact

In this paper, the authors report on progress of a longitudinal study on the impact of design education on students’ design thinking and practice. Using innovations in cognitive science and new methods of protocol analysis, the authors are working with engineering students to characterize their design cognition as they progress through engineering curricula. In this paper, the results from a protocol study of sophomore Mechanical Engineering students are presented. Specifically, data gathered from two experimental sessions (conducted before and after the students’ introductory design course) are analyzed to identify changes in design thinking cognition. Design cognition is determined using protocol analysis with the coding of the protocols based on a general design ontology, namely, the Function-Behavior-Structure (FBS) as a principled coding scheme (as opposed to an ad hoc one). Preliminary results indicate that statistically significant changes in students’ design cognition occur over the course of their sophomore year. The change manifests itself in an increase in focus on the purposes of designs being produced, which is often a precursor to the production a higher quality designs, and an increase in the design processes associated with the introduction of purposes of designs.

scholarly journals The Neurocognition of Three Engineering Concept Generation Techniques

2019 ◽  
Vol 1 (1) ◽  
pp. 1833-1842 ◽  
Author(s):  
Tripp Shealy ◽  
John Gero
Keyword(s):  
Divergent Thinking ◽  
Morphological Analysis ◽  
Engineering Students ◽  
Spatial Working Memory ◽  
Concept Generation ◽  
Jazz Composition ◽  
Left Dlpfc ◽  
Hemisphere Dominance ◽  
Medial Pfc ◽  
The Right

AbstractTechniques and processes used for concept generation rely on composing new concepts and analysis given situational context. Composition and analysis require distinct neurocognitive function. For instance, jazz composition relies heavily on the right brain, while math relies on the left. Similar to music and math, is concept generation hemisphere dominant? What differences exist when using varying techniques? Twelve graduate engineering students were given three design tasks and instructed to use brainstorming, morphological analysis and TRIZ. A device called fNIRS measured cognitive activation. The results find left hemisphere dominance. More specifically, the left dorsolateral PFC (dlPFC), which is central to spatial working memory and filtering information. Temporal differences do exist. Morphological analysis and TRIZ reinforced the use of the left dlPFC, while brainstorming increased the use of the right dlPFC and medial PFC (mPFC) late during concept generation. The right dlPFC contributes to divergent thinking and mPFC facilitates memory retrieval. One explanation is designers relaxed rule constraints and more deeply searched for associations during brainstorming.

Analogy Seeded Mind-Maps: Testing of a New Design-by-Analogy Tool

2014 ◽  
Author(s):  
K. Scott Marshall ◽  
Richard Crawford ◽  
Matthew Green ◽  
Daniel Jensen
Keyword(s):  
Engineering Students ◽  
Word List ◽  
Design Team ◽  
Functional Requirement ◽  
Concept Generation ◽  
Team Members ◽  
Design Metrics ◽  
Engineering Design Problems ◽  
Design By Analogy ◽  
Mind Maps

Recent research has investigated methods based on design-by-analogy meant to enhance concept generation. This paper presents Analogy Seeded Mind-Maps, a new method to prompt generation of analogous solution principles drawn from multiple analogical domains. The method was evaluated in two separate design studies using senior engineering students. The method begins with identifying a primary functional design requirement such as “eject part.” We used this functional requirement “seed” to generate a WordTree of grammatically analogical words for each design team. We randomly selected a set of words from each WordTree list with varying lexical “distances” from the seed word, and used them to populate the first-level nodes of a mind-map, with the functional requirement seed as the central hub. Design team members first used the word list to individually generate solutions and then performed team concept generation using the analogically seeded mind-map. Quantity and uniqueness of the resulting verbal solution principles were evaluated. The solution principles were further analyzed to determine if the lexical “distance” from the seed word had an effect on the evaluated design metrics. The results of this study show Analogy Seeded Mind-Maps to be useful tool in generating analogous solutions for engineering design problems.

Fostering Diverse Analogical Transfer in Bio-Inspired Design

2015 ◽  
Author(s):  
Jacquelyn K. S. Nagel ◽  
Linda Schmidt ◽  
Werner Born
Keyword(s):  
Knowledge Transfer ◽  
Best Practices ◽  
Biological System ◽  
Engineering Students ◽  
Natural World ◽  
Physical Characteristics ◽  
Biological Information ◽  
Concept Generation ◽  
Analogical Transfer ◽  
Design Inspiration

Nature is a powerful resource for engineering designers. The natural world provides numerous cases for analogy and inspiration in engineering design. Transferring the valuable knowledge and inspiration gained from the biology domain to the engineering domain during concept generation is a somewhat disorganized process and relies heavily on the designers’ insight and background knowledge of many fields to make the necessary leaps between the domains. Furthermore, the novice designer approaching biology for inspiration tends to focus heavily on copying the visual attributes of a biological system to develop a solution that looks like the biological system rather than explore at deeper levels to uncover relationships that lead to the development of true analogies. There are now well-known methods for teaching bioinspired design in engineering and the majority of methods prescribe the use of analogies in order to facilitate knowledge transfer, however, guidance in analogy formulation to foster the creative leaps is missing or ill defined. Thus little is known about how students use biological systems for design inspiration. This paper proposes categories for analogical knowledge transfer in bio-inspired design to foster and characterize diverse analogical knowledge transfer. The proposed analogy categories are used to describe the behavior seen in an engineering class. Results indicate that (1) single biological system provides multiple analogies that result in different engineering inspiration for design; (2) biological information from multiple categories is transferred during concept generation; and (3) non-physical characteristics may inspire more sophisticated engineering inspiration than those based on physical characteristics alone. Overall, the analogy data classification has resulted in a better understanding of analogical knowledge transfer during bio-inspired design and leads to best practices for teaching bio-inspired design to engineering students.

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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