Talk Aloud Protocol with Geneplore Model on Concept Generation

2017 ◽  
Vol 1 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Yoon-Jung Huh ◽  
Keyword(s):  
Concept Generation

Towards Fine-grained Concept Generation

2021 ◽  
pp. 1-1
Author(s):  
Chenguang Li ◽  
Jiaqing Liang ◽  
Yanghua Xiao ◽  
Haiyun Jiang
Keyword(s):  
Concept Generation ◽  
Fine Grained

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.

An Interactive Morphological Matrix Computational Design Tool: A Hybrid of Two Methods

2007 ◽  
Author(s):  
Cari R. Bryant ◽  
Matt Bohm ◽  
Robert B. Stone ◽  
Daniel A. McAdams
Keyword(s):  
Computational Design ◽  
Design Tool ◽  
Design Tools ◽  
Concept Generation ◽  
University Of Missouri ◽  
Generation Algorithm ◽  
Design Theories ◽  
The University ◽  
Matrix Generator

This paper builds on previous concept generation techniques explored at the University of Missouri - Rolla and presents an interactive concept generation tool aimed specifically at the early concept generation phase of the design process. Research into automated concept generation design theories led to the creation of two distinct design tools: an automated morphological search that presents a designer with a static matrix of solutions that solve the desired input functionality and a computational concept generation algorithm that presents a designer with a static list of compatible component chains that solve the desired input functionality. The merger of both the automated morphological matrix and concept generation algorithm yields an interactive concept generator that allows the user to select specific solution components while receiving instantaneous feedback on component compatibility. The research presented evaluates the conceptual results from the hybrid morphological matrix approach and compares interactively constructed solutions to those returned by the non-interactive automated morphological matrix generator using a dog food sample packet counter as a case study.

Product innovation concept generation based on deep learning and Kansei engineering

2021 ◽  
pp. 1-31
Author(s):  
Xiong Li ◽  
Jianning Su ◽  
Zhipeng Zhang ◽  
Ruisheng Bai
Keyword(s):  
Deep Learning ◽  
Product Innovation ◽  
Concept Generation ◽  
Kansei Engineering

Environmental Analysis of Consumer Products During the Conceptual Phase of Product Design

2010 ◽  
Author(s):  
Matt R. Bohm ◽  
Karl R. Haapala ◽  
Kerry Poppa ◽  
Robert B. Stone ◽  
Irem Y. Tumer
Keyword(s):  
Life Cycle ◽  
Product Design ◽  
Environmental Impacts ◽  
Life Cycle Analysis ◽  
Real Life ◽  
Consumer Products ◽  
Design Knowledge ◽  
Concept Generation ◽  
Analysis Techniques ◽  
Research Show

This paper describes efforts taken to further transition life cycle analysis techniques from the latter, more detailed phases of design, to the early-on conceptual phase of product development. By using modern design methodologies such as automated concept generation and an archive of product design knowledge, known as the Design Repository, virtual concepts are created and specified. Streamlined life cycle analysis techniques are then used to determine the environmental impacts of the virtual concepts. As a means to benchmark the virtual results, analogous real-life products that have functional and component similarities are identified. The identified products are then scrutinized to determine their material composition and manufacturing attributes in order to perform an additional round of life cycle analysis for the actual products. The results of this research show that enough information exists within the conceptual phase of design (utilizing the Design Repository) to reasonably predict the relative environmental impacts of actual products based on virtual concepts.

Crossing cultural borders: A case study of conceptual design outcomes of U.S. and Moroccan student samples

2021 ◽  
pp. 1-42
Author(s):  
Aoran Peng ◽  
Jessica Menold ◽  
Scarlett Miller
Keyword(s):  
Global Economy ◽  
Design Theory ◽  
Design Thinking ◽  
Emerging Market ◽  
Gender Effects ◽  
Concept Generation ◽  
Design Theory And Methodology ◽  
Key Aspects ◽  
The U.S

Abstract There has been a plethora of design theory and methodology research conducted to answer important questions centered around how ideas are developed and translated into successful products. Understanding this is vital because of the role creativity and innovation have in long-term economic success. However, most of this research have focused on U.S. samples, leaving to question if differences exist across cultural borders. Answering this question is key to supporting a successful global economy. The current work provides a first step at answering this question by examining similarities and differences in concept generation and screening practices between students in an emerging market, Morocco, and those in a more established market, the U.S during a design thinking workshop. Our results show that while students in the U.S. sample produced more ideas than the Moroccan sample, there was no difference in the perceived quality of ideas generated (idea goodness). In addition, while U.S. women were found to produce more ideas than U.S. men, there were no gender effects for students in the Moroccan sample. Finally, the results show that ideas with low goodness had a higher probability of passing concept screening if it was evaluated by its owner regardless of the population studied – identifying the potential impact of ownership bias across cultures. As a whole, these results suggest that key aspects of design theory and methodology research may in fact translate across cultures but also identified key areas for further investigation.

An Interactive Model of Business/Academia

1991 ◽  
Vol 5 (4) ◽  
pp. 223-227
Author(s):  
Keyword(s):  
Linear Models ◽  
Concept Generation ◽  
Design Development ◽  
Interactive Model ◽  
Market Driven ◽  
Three Phases

This article points out flaws in two types of ‘linear models’ (‘technology-driven’ models and ‘market-driven’ models) and argues that an interactive model will lead to the most successful partnerships. Three phases are identified: business concept generation; design development and concept testing; and commercialization and launch. The article concludes by outlining the optimum focus of collaboration for different sized companies.

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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