scholarly journals A Further Exploration of the Three Driven Approaches to Combinational Creativity

2019 ◽  
Vol 1 (1) ◽  
pp. 2735-2744
Author(s):  
Ji Han ◽  
Min Hua ◽  
Feng Shi ◽  
Peter R. N. Childs
Keyword(s):  
Product Design ◽  
Idea Generation ◽  
Design Support ◽  
Creative Idea ◽  
Significant Element ◽  
Support Tools ◽  
Practical Design ◽  
Ideation Methods ◽  
Early Phases

AbstractCombinational creativity is a significant element of design in supporting designers to generate creative ideas during the early phases of design. There exists three driven approaches to combinational creativity: problem-, similarity- and inspiration-driven. This study provides further insights into the three combinational creativity driven approaches, exploring which approach could lead to ideas that are more creative in the context of practical product design. The results from a case study reveal that the problem- driven approach could lead to more creative and novel ideas or products compared with the similarity- and inspiration-driven approach. Products originating from the similarity- and inspiration-driven approach are at comparable levels. This study provides better understanding of combinational creativity in practical design. It also delivers benefits to designers in improving creative idea generation, and supports design researchers in exploring future ideation methods and design support tools employing the concept of 'combination'.

Three driven approaches to combinational creativity: Problem-, similarity- and inspiration-driven

2017 ◽  
Vol 233 (2) ◽  
pp. 373-384 ◽  
Author(s):  
Ji Han ◽  
Dongmyung Park ◽  
Feng Shi ◽  
Liuqing Chen ◽  
Min Hua ◽  
...  
Keyword(s):  
Design Process ◽  
Driving Forces ◽  
Idea Generation ◽  
Creative Design ◽  
Research Projects ◽  
Crucial Element ◽  
Creative Idea ◽  
Process Strategy ◽  
Design Ideas

Creativity is a crucial element of design. The aim of this study is to investigate the driving forces behind combinational creativity. We propose three driven approaches to combinational creativity, problem-, similarity- and inspiration-driven, based on previous research projects on design process, strategy and cognition. A case study involving hundreds of practical products selected from winners of international design competitions has been conducted to evaluate the three approaches proposed. The results support the three driven approaches and indicate that they can be used independently as well as complementarily. The three approaches proposed in this study have provided an understanding of how combinational creativity functions in design. The approaches could be used as a set of creative idea generation methods for supporting designers in producing creative design ideas.

Development of Technical Creativity Featuring Modified TRIZ-AM Inventive Principle to Support Additive Manufacturing

2021 ◽  
pp. 1-47
Author(s):  
Siti Nur Humaira Mazlan ◽  
Aini Zuhra Abdul Kadir ◽  
Mariusz Deja ◽  
Dawid Zielinski ◽  
Mohd Rizal Alkahari
Keyword(s):  
Additive Manufacturing ◽  
Problem Solving ◽  
Product Design ◽  
Design For Additive Manufacturing ◽  
Technical Creativity ◽  
Design Methodologies ◽  
Creative Solutions ◽  
Design Freedom ◽  
Early Phases

Abstract The design for additive manufacturing (DFAM) processing was introduced to fully utilise the design freedom provided by additive manufacturing (AM). Consequently, appropriate design methodologies have become essential for this technology. Recently, many studies have identified the importance of DFAM method utilisation to produce AM parts, and TRIZ is a strategy used to formalise design methodologies. TRIZ is a problem-solving tool developed to assist designers to find innovative and creative solutions. However, the pathway for synergising TRIZ and DFAM is not clearly explained with respect to AM capabilities and complexities. This is mainly because most methods continue to involve use of the classical TRIZ principle, which was developed early in 1946, 40 years before AM technologies were introduced in the mid-1980s. Therefore, to tackle this issue, this study aims to enhance the 40 principles of classical TRIZ to accommodate AM design principles. A modified TRIZ-AM principle has been developed to define the pathway to AM solutions. TRIZ-AM cards are tools that assist designers to select inventive principles (IPs) in the early phases of product design and development. The case study illustrates that even inexperienced AM users can creatively design innovative AM parts.

scholarly journals The Combinator – a computer-based tool for creative idea generation based on a simulation approach

2018 ◽  
Vol 4 ◽  
Author(s):  
Ji Han ◽  
Feng Shi ◽  
Liuqing Chen ◽  
Peter R. N. Childs
Keyword(s):  
Design Space Exploration ◽  
Design Space ◽  
Idea Generation ◽  
Human Cognition ◽  
Text And Image ◽  
Creative Idea ◽  
Current Formulation ◽  
Study Results ◽  
Computer Based

Idea generation is significant in design, but coming up with creative ideas is often challenging. This paper presents a computer-based tool, called the Combinator, for assisting designers to produce creative ideas. The tool is developed based on an approach simulating aspects of human cognition in achieving combinational creativity. It can generate combinational prompts in text and image forms through combining unrelated ideas. A case study has been conducted to evaluate the Combinator. The study results indicate that the Combinator, in its current formulation, has assisted the tool users involved in the case study in improving the fluency of idea generation, as well as increasing the originality, usefulness, and flexibility of the ideas generated. The results also indicate that the tool could benefit its users in generating high-novelty and high-quality ideas effectively. The Combinator is considered to be beneficial in expanding the design space, increasing better idea occurrence, improving design space exploration, and enhancing the design success rate.

A computational tool for creative idea generation based on analogical reasoning and ontology

2018 ◽  
Vol 32 (4) ◽  
pp. 462-477 ◽  
Author(s):  
Ji Han ◽  
Feng Shi ◽  
Liuqing Chen ◽  
Peter R.N. Childs
Keyword(s):  
Analogical Reasoning ◽  
Idea Generation ◽  
Formal Representation ◽  
Computational Tool ◽  
Support Design ◽  
Creative Idea ◽  
Design Creativity ◽  
Design Activities ◽  
Real World Datasets

AbstractAnalogy is a core cognition process used to produce inferences as well as new ideas using previous knowledge and experience. Ontology is a formal representation of a set of domain concepts and their relationships. The use of analogy and ontology in design activities to support design creativity have previously been explored. This paper explores an approach to construct ontologies with sufficient richness and coverage to support reasoning over real-world datasets for prompting creative idea generation. This approach has been implemented into a computational tool for assisting designers in generating creative ideas during the early stages of design. The tool, called “the Retriever”, has been developed based on ontology by embracing the aspects of analogical reasoning. A case study has indicated that the tool can be effective and useful for idea generation. The results have indicated that the tool, in its current formulation, can significantly improve the fluency and flexibility of idea generation and the usefulness of ideas, as well as slightly increase the originality of ideas, for the case study concerned.

Idea generation with Technology Semantic Network

2021 ◽  
pp. 1-19
Author(s):  
Serhad Sarica ◽  
Binyang Song ◽  
Jianxi Luo ◽  
Kristin L. Wood
Keyword(s):  
Engineering Design ◽  
Common Sense ◽  
Semantic Network ◽  
Idea Generation ◽  
Semantic Distance ◽  
The Core ◽  
Design Idea ◽  
Design Ideas ◽  
Design Ideation

Abstract There are growing efforts to mine public and common-sense semantic network databases for engineering design ideation stimuli. However, there is still a lack of design ideation aids based on semantic network databases that are specialized in engineering or technology-based knowledge. In this study, we present a new methodology of using the Technology Semantic Network (TechNet) to stimulate idea generation in engineering design. The core of the methodology is to guide the inference of new technical concepts in the white space surrounding a focal design domain according to their semantic distance in the large TechNet, for potential syntheses into new design ideas. We demonstrate the effectiveness in general, and use strategies and ideation outcome implications of the methodology via a case study of flying car design idea generation.

See What I Mean? Analogical Objects for Knowledge Mediation in Early Phases of Cross-Industry Innovation

2021 ◽  
Author(s):  
Hilda Bø Lyng ◽  
Eric Christian Brun
Keyword(s):  
Nonverbal Communication ◽  
Visual Representations ◽  
Research Literature ◽  
Knowledge Domains ◽  
Collaborative Engagement ◽  
Epistemic Objects ◽  
Industry Sectors ◽  
Early Phases

The objective of this research is to explore the nature and role of analogies as objects for knowledge transfer in cross-industry collaborations. A case study of an organization seeking cross-industry innovation (CII) across two industry sectors was conducted, and the empirical data were analyzed qualitatively. We found that analogies used as knowledge mediation objects could be classified as explanatory or inventive, each expressed as linguistic or visual representations. Explanatory analogical objects help build prior knowledge of a foreign industry domain, thus easing later use of inventive analogical objects to identify how knowledge from one industry can be applied in another industry for innovation purposes. In these roles, the analogies serve as boundary objects. Both explanatory and inventive analogies can also serve as epistemic objects, motivating for further collaborative engagement. Visual representations of analogies help bridge the abstract with the concrete, thereby easing the process of creating analogies. They also enable nonverbal communication, thus helping bypass language barriers between knowledge domains. The reported research expands current research literature on knowledge mediation objects to the context of CII and provides added detailed understanding of the use of analogies in CII.

scholarly journals Cyber-Empathic Design: A Data Driven Framework for Product Design

2016 ◽  
Author(s):  
Dipanjan D. Ghosh ◽  
Junghan Kim ◽  
Andrew Olewnik ◽  
Arun Lakshmanan ◽  
Kemper E. Lewis
Keyword(s):  
Product Design ◽  
Structural Equation ◽  
Design Space ◽  
Equation Modeling ◽  
Design Decision ◽  
Interaction Data ◽  
Model Framework ◽  
Empathic Design ◽  
Product Interaction

One of the critical tasks in product design is to map information from the consumer space to the design space. Currently, this process is largely dependent on the designer to identify and map how psychological and consumer level factors relate to engineered product attributes. In this way current methodologies lack provision to test a designer’s cognitive reasoning and could therefore introduce bias while mapping from consumer to design space. Also, current dominant frameworks do not include user-product interaction data in design decision making and neither do they assist designers in understanding why a consumer has a particular perception about a product. This paper proposes a new framework — Cyber-Empathic Design — where user-product interaction data is acquired via embedded sensors in the products. To understand the motivations behind consumer perceptions, a network of latent constructs is used which forms a causal model framework. Structural Equation Modeling is used as the parameter estimation and hypothesis testing technique making the framework falsifiable in nature. To demonstrate the framework and demonstrate its effectiveness a case study of sensor integrated shoes is presented in this work, where two models are compared — one survey based and using the Cyber-Empathic framework model. It is shown that the Cyber-Empathic framework results in improved fit. The case study also demonstrates the technique to test a designers’ cognitive hypothesis.

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