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.

Exploration of the Dynamics of Neuro-Cognition During TRIZ

2021 ◽  
Author(s):  
Julie Milovanovic ◽  
Mo Hu ◽  
Tripp Shealy ◽  
John Gero
Keyword(s):  
Engineering Design ◽  
Engineering Students ◽  
Cognitive Differences ◽  
Cognitive Activation ◽  
Solution Generation ◽  
Engineering Parameters ◽  
Medial Pfc ◽  
The Right ◽  
Support Engineering ◽  
Structured Approach

Abstract The Theory of Inventive Problem Solving (TRIZ) method and toolkit provides a well-structured approach to support engineering design with pre-defined steps: interpret and define the problem, search for standard engineering parameters, search for inventive principles to adapt, and generate final solutions. The research presented in this paper explores the neuro-cognitive differences of each of these steps. We measured the neuro-cognitive activation in the prefrontal cortex (PFC) of 30 engineering students. Neuro-cognitive activation was recorded while students completed an engineering design task. The results show a varying activation pattern. When interpreting and defining the problem, higher activation is found in the left PFC, generally associated with goal directed planning and making analytical. Neuro-cognitive activation shifts to the right PFC during the search process, a region usually involved in exploring the problem space. During solution generation more activation occurs in the medial PFC, a region generally related to making associations. The findings offer new insights and evidence explaining the dynamic neuro-cognitive activations when using TRIZ in engineering design.

Using Practical Examples to Motivate the Study of Product Development and Systems Engineering Topics

2016 ◽  
Author(s):  
John Ziadat ◽  
Marius D. Ellingsen ◽  
Karim H. Muci-Küchler ◽  
Shaobo Huang ◽  
Cassandra M. Degen
Keyword(s):  
Product Development ◽  
Systems Engineering ◽  
Engineering Students ◽  
Solution Space ◽  
Entire Solution ◽  
Concept Generation ◽  
Design Work ◽  
Systems Architecture ◽  
Customer Needs ◽  
The Right

Most undergraduate mechanical engineering curricula contain one or more courses that provide an introduction to the product design and development process. These courses include some topics that, without the proper motivation, may be perceived by students as being of low relevance. In addition, they also cover topics that may seem to be somewhat abstract and difficult to apply unless they are preceded by examples that clearly illustrate their practical value. The tasks of identifying customer needs and setting target specifications are typical examples of the first scenario described above. In general, engineering students have the notion that the activities of the detailed design phase are the ones that really matter and that those activities are the ones that determine the ultimate success of a product. They are so concerned with designing the physical components of the product correctly that they spend little time and effort in other steps that are necessary to make sure that they are designing the right product. The tasks of concept generation and defining the architecture of a product are good examples of the second scenario mentioned in the first paragraph. Most students quickly proceed to pick a concept that they think is viable without carefully exploring the entire solution space. In addition, when considering relatively complex products, many students don’t spend enough time considering aspects such as defining the interfaces between different components. As a result, student teams end up with a collection of components that are individually well-designed but integrate poorly, and the end product suffers accordingly. Short, introductory examples demonstrating the importance of tasks like the ones mentioned above were created in order to get the attention of students and spark their interest in learning about such topics. These presentations were also created with the intent that they would motivate students to apply what they had learned when designing their own product or system. Through the examples, which corresponded to real-world product development efforts, students were exposed to not just well-designed and well-made products or systems that turned out to be successful, but also to products or systems that failed in the marketplace or experienced significant problems because the designers failed to adequately perform a task such as identifying customer requirements. The latter clearly showcased the importance of such tasks and conveyed the fact that good technical design work can be rendered moot by failing to put the required effort into the early stages of the development of a product or system. This paper presents the general criteria used and the approach followed to select and develop short introductory examples for the topics of identifying customer needs, setting target specifications, concept generation, and systems architecture. It briefly describes the examples selected and presents the results of a pilot assessment that was conducted to evaluate the effectiveness of one of those examples.

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.

Patterns of Cortical Activation When Using Concept Generation Techniques of Brainstorming, Morphological Analysis, and TRIZ

2018 ◽  
Author(s):  
Tripp Shealy ◽  
Mo Hu ◽  
John Gero
Keyword(s):  
Morphological Analysis ◽  
Brain Regions ◽  
Cognitive Effort ◽  
Cortical Activation ◽  
Generation Process ◽  
Concept Generation ◽  
Cognitive Differences ◽  
Solution Generation ◽  
Left Dlpfc ◽  
The Brain

This paper presents the results of an experimental study comparing cortical activation in the brain when generating solutions using brainstorming, morphological analysis, and TRIZ. Twelve engineering students were given the same three design tasks, respectively, using the three solution generation techniques. Students generated solutions while change in oxygenated blood along the prefrontal cortex (PFC) was measured using functional near-infrared spectroscopy. The results show that generating solutions using brainstorming, morphological analysis, and TRIZ leads to differences in cortical activation, specifically along the region of the brain associated with spatial working memory, cognitive flexibility, and abstract reasoning, called the left dorsolateral prefrontal cortex (left DLPFC). Brainstorming evokes a high average blood oxygenation level dependent (BOLD) response in the left DLPFC early during the solution generation process but this high response is not sustained. In comparison, morphological analysis and TRIZ evoke multiple high average BOLD responses across the solution generation process. Not only was the high average BOLD response sustained but the density of network coordination among brain regions across the PFC was greater for morphological analysis and TRIZ. Higher density is a proxy for higher cognitive effort. The brain regions most central to coordination also varied. During brainstorming the right hemisphere, in a region associated with memory encoding (right PFC), was most activated. During morphological analysis, the left hemisphere, the left DLPFC was most activated. During TRIZ, both the middle and left hemisphere included regions of high activation. These results indicate neuro-cognitive differences of activation patterns, cognitive effort over time, and brain regions central for coordination when using these three concept generation techniques. Future research can begin to explore neuro-cognitive differences as a result of these techniques over multiple uses and the effects of design education.

scholarly journals TEMPORAL DYNAMICS OF BRAIN ACTIVATION DURING THREE CONCEPT GENERATION TECHNIQUES

2021 ◽  
Vol 1 ◽  
pp. 2961-2970
Author(s):  
Julie Milovanovic ◽  
Mo Hu ◽  
Tripp Shealy ◽  
John Gero
Keyword(s):  
Prefrontal Cortex ◽  
Divergent Thinking ◽  
Morphological Analysis ◽  
Near Infrared ◽  
Temporal Dynamics ◽  
Brain Activation ◽  
Concept Generation ◽  
Functional Near Infrared Spectroscopy ◽  
Design Problems ◽  
Over Time

AbstractThe research presented in this paper explores features of temporal design neurocognition by comparing regions of activation in the brain during concept generation. A total of 27 engineering graduate students used brainstorming, morphological analysis, and TRIZ to generate concepts to design problems. Students' brain activation in their prefrontal cortex (PFC) was measured using functional near-infrared spectroscopy (fNIRS). Temporal activations were compared between techniques. When using brainstorming and morphological analysis, highly activated regions are consistently situated in the medial and right part of the PFC over time. For both techniques, the temporal neuro-physiological patterns are similar. Cognitive functions associated to the medial and right part of the PFC suggest an association with divergent thinking and adaptative decision making. In contrast, highly activated regions over time when using TRIZ appear in the medial or the left part of the prefrontal cortex, usually associated with goal directed planning.

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 The role of prefrontal cortex in working memory: examining the contents of consciousness

1998 ◽  
Vol 353 (1377) ◽  
pp. 1819-1828 ◽  
Author(s):  
◽  
S. M. Courtney ◽  
L. Petit ◽  
J. V. Haxby ◽  
L. G. Ungerleider
Keyword(s):  
Working Memory ◽  
Prefrontal Cortex ◽  
Visual Processing ◽  
Right Hemisphere ◽  
Functional Organization ◽  
Spatial Working Memory ◽  
Domain Specificity ◽  
Long Term Memory ◽  
Present Evidence ◽  
The Right

Working memory enables us to hold in our ‘mind's eye’ the contents of our conscious awareness, even in the absence of sensory input, by maintaining an active representation of information for a brief period of time. In this review we consider the functional organization of the prefrontal cortex and its role in this cognitive process. First, we present evidence from brain–imaging studies that prefrontal cortex shows sustained activity during the delay period of visual working memory tasks, indicating that this cortex maintains on–line representations of stimuli after they are removed from view. We then present evidence for domain specificity within frontal cortex based on the type of information, with object working memory mediated by more ventral frontal regions and spatial working memory mediated by more dorsal frontal regions. We also propose that a second dimension for domain specificity within prefrontal cortex might exist for object working memory on the basis of the type of representation, with analytic representations maintained preferentially in the left hemisphere and image–based representations maintained preferentially in the right hemisphere. Furthermore, we discuss the possibility that there are prefrontal areas brought into play during the monitoring and manipulation of information in working memory in addition to those engaged during the maintenance of this information. Finally, we consider the relationship of prefrontal areas important for working memory, both to posterior visual processing areas and to prefrontal areas associated with long–term memory.

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.

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