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

Han, Jiarui; Shi, Feng; Chen, Liuqing; Childs, Peter

doi:10.1017/s0890060418000082

Cited by 60 publications

(46 citation statements)

References 131 publications

(179 reference statements)

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“…It is based on the analysis of 2.5 million patents and the formalization of them into some patterns of thinking process. Han et al (2018) developed a computational tool called "the Retriever" which has a knowledge database of patterns of analogical thinking. It can help designers produce creative ideas through design space expansion and exploration.…”

Section: Prior Work Of Design Concept Generationmentioning

confidence: 99%

Assessing Concept Novelty Potential with Lexical and Distributional Word Similarity for Innovative Design

Nomaguchi¹,

Kawahara²,

SHODA³

et al. 2019

Proc. Int. Conf. Eng. Des.

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Generating novel design concepts is a cornerstone for producing innovative products. Although many methods have been proposed for supporting the task, their performance depends on human ability. The goal of this research is to build a method supporting designers to generate novel design concepts with the knowledge of what factors have positive effects on the novelty. Toward the goal, this research assumes that the more distant two function concepts chosen, the more novel idea would come up with by the combination of the two concepts. Based on the assumption, this paper introduces a notion of novelty potential of the combination of two function concepts, and proposes a method to assess it by the function similarity. It is calculated with the integration of a lexical database for natural language called WordNet and a distributional semantics method called word2vec. The proposed method is adapted to case studies in which students perform design concept generation for given design tasks. The correlation analysis is performed to verify the assessment performance of the proposed method. This paper discusses its possibility based on the results of the case studies.

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Section: Prior Work Of Design Concept Generationmentioning

confidence: 99%

Assessing Concept Novelty Potential with Lexical and Distributional Word Similarity for Innovative Design

Nomaguchi¹,

Kawahara²,

SHODA³

et al. 2019

Proc. Int. Conf. Eng. Des.

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show abstract

“…Han et al . (2018) carried out a design experiment involving 20 participants to produce ideas for a design challenge with and without the Retriever, which is a computational tool developed by the authors to assist idea generation. Their experiment recorded and evaluated the performance of participants based on four matrices.…”

Section: Introductionmentioning

confidence: 99%

Category, process, and recommendation of design in an interactive evolutionary computation interior design experiment: a data-driven study

Huang

et al. 2020

AIEDAM

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AbstractDesign is a complicated and sophisticated process with numerous existing theories trying to describe it. To verify theories and quantitatively describe the design process, design experiment, and data analysis are crucial and inevitable. However, applying data analysis in the design experiment is tricky and design data is not fully utilized in many aspects. To explore the potential of design experiment data, this paper introduces data-driven research based on an interior design experiment, aiming to reveal the category and process of design by conducting data analysis, visualization, and recommendation. We introduce an interactive evolutionary computation (IEC) design experiment that deals with a simplified interior design task and has already been tested on 230 subjects. Using the data gathered during the experiment, we conduct data analysis and visualization involving methods including Holistic color interval and K-means clustering to show categories and processes in design. Additionally, we train a content-based recommendation system with experiment data to capture user preference and make the IEC system more efficient and intelligent. The analysis and visualization show clear design categories and capture an evident trend towards the final design outcome. The application of the recommendation system brings a prominent improvement to the IEC system. This research shows the great potential of the various data-driven methods in design research.

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“…Chiu and Shu (2012) claimed that creative concepts often lead to creative and successful designs. Han et al (2018a) suggested creativity is linked to economic benefit via design. Sarkar and Chakrabarti (2011) indicated that creativity is crucial for business portfolios and designing products, as it initiates innovations, supports problem-solving, and is closely associated with market share.…”

Section: Introductionmentioning

confidence: 99%

An Exploration of the Relations between Functionality, Aesthetics and Creativity in Design

Han¹,

Forbes²,

Schaefer³

2019

Proc. Int. Conf. Eng. Des.

Self Cite

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Creativity is often said to play a vital role in the product design process, while functionality and aesthetics are considered key factors of actual products. Functionality refers to the performance of a product, and aesthetics represents the visual and ergonomic appeals of the product. However, there appears to be an elusive relation between creativity, functionality and aesthetics. This study explores how functionality, aesthetics and creativity are related to one another in design. Through exploring the definitions and assessments of creativity in design, this study reveals that novelty, usefulness and surprise are the three core elements of design creativity. A case study involving experts evaluating design samples in terms of novelty, usefulness, surprise, functionality, aesthetics and overall creativity is conducted. The results imply that there are no statistically significant relations between creativity, functionality, and aesthetics. Considering the three core elements of design creativity, the results indicate that creativity is only statistically significantly related to novelty. Moreover, our results suggest that creativity and novelty are measuring the same construct.

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

Cited by 60 publications

References 131 publications

Assessing Concept Novelty Potential with Lexical and Distributional Word Similarity for Innovative Design

Assessing Concept Novelty Potential with Lexical and Distributional Word Similarity for Innovative Design

Category, process, and recommendation of design in an interactive evolutionary computation interior design experiment: a data-driven study

An Exploration of the Relations between Functionality, Aesthetics and Creativity in Design

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