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

Author(s):  
Ji Han ◽  
Feng Shi ◽  
Liuqing Chen ◽  
Peter R.N. Childs

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.

Author(s):  
Ji Han ◽  
Dongmyung Park ◽  
Feng Shi ◽  
Liuqing Chen ◽  
Min Hua ◽  
...  

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.


Author(s):  
Ji Han ◽  
Min Hua ◽  
Feng Shi ◽  
Peter R. N. Childs

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'.


2018 ◽  
Vol 4 ◽  
Author(s):  
Ji Han ◽  
Feng Shi ◽  
Liuqing Chen ◽  
Peter R. N. Childs

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.


Author(s):  
Nina TERREY ◽  
Sabine JUNGINGER

The relationship that exists between design, policies and governance is quite complex and presents academic researchers continuously with new opportunities to engage and explore aspects relevant to design management. Over the past years, we have witnessed how the earlier focus on developing policies for design has shifted to an interest in understanding the ways in which design contributes to policy-making and policy implementation. Research into policies for design has produced insights into how policy-making decisions can advance professional impact and opportunities for designers and the creative industries. This research looked into how design researchers and design practitioners themselves can benefit from specific policies that support design activities and create the space for emerging design processes.


2021 ◽  
Vol 8 (1) ◽  
pp. 1869367
Author(s):  
Sylvanus Sebbeh-Newton ◽  
Shaib Abdulazeez Shehu ◽  
Prosper Ayawah ◽  
Azupuri A. Kaba ◽  
Hareyani Zabidi

Author(s):  
Serhad Sarica ◽  
Binyang Song ◽  
Jianxi Luo ◽  
Kristin L. Wood

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.


Leadership ◽  
2017 ◽  
Vol 14 (4) ◽  
pp. 435-459 ◽  
Author(s):  
Gazi Islam ◽  
Macabe Keliher

Ritual performance is well understood in organizational maintenance. Its role in leadership and processes of change, however, remains understudied. We argue that ritual addresses key challenges in institutionalizing leadership, particularly in fixing the relation between a charismatic leader and formal governance structures. Through a historical case study of the institutionalization of the emperor in Qing China (1636–1912), we argue that the shaping of collective understandings of the new emperor involved structural aspects of ritual that worked through analogical reasoning to internalize the figure of the leader through focusing attention, fixing memory, and emotionally investing members in the leader. We argue that data from the Qing dynasty Board of Rites show that ritual was explicitly designed to model the new institutional order, which Qing state-makers used to establish collective adherence to the emperorship. We further discuss the implications of this case for understanding the symbolic and performative nature of leadership as an institutional process.


2004 ◽  
Vol 4 (4) ◽  
pp. 316-328 ◽  
Author(s):  
Carol J. Romanowski , ◽  
Rakesh Nagi

In variant design, the proliferation of bills of materials makes it difficult for designers to find previous designs that would aid in completing a new design task. This research presents a novel, data mining approach to forming generic bills of materials (GBOMs), entities that represent the different variants in a product family and facilitate the search for similar designs and configuration of new variants. The technical difficulties include: (i) developing families or categories for products, assemblies, and component parts; (ii) generalizing purchased parts and quantifying their similarity; (iii) performing tree union; and (iv) establishing design constraints. These challenges are met through data mining methods such as text and tree mining, a new tree union procedure, and embodying the GBOM and design constraints in constrained XML. The paper concludes with a case study, using data from a manufacturer of nurse call devices, and identifies a new research direction for data mining motivated by the domains of engineering design and information.


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