Journal articles
Obieke CC, Milisavljevic-Syed J, Silva A, Han J (2023). A Computational Approach to Identifying Engineering Design Problems.
Journal of Mechanical Design,
145(4), 041406-041406.
DOI.
Park D, Han J, Childs PRN (2023). A Data-Driven Fuzzy Front end Model for Contextual Performance and Concurrent Collaboration.
IEEE Transactions on Engineering Management,
70(2), 660-683.
DOI.
Sun W, Huang M, Wu C, Yang R, Han J, Yue Y (2023). Evaluating the feeling of control in virtual object translation on 2D interfaces.
Artificial Intelligence for Engineering Design, Analysis and Manufacturing,
37 Abstract:
Evaluating the feeling of control in virtual object translation on 2D interfaces.
Abstract
. Computer-aided design (CAD) plays an essential role in creative idea generation on 2D screens during the design process. In most CAD scenarios, virtual object translation is an essential operation, and it is commonly used when designers simulate their innovative solutions. The degrees of freedom (DoF) of virtual object translation modes have been found to directly impact users’ task performance and psychological aspects in simulated environments. Little is known in the existing literature about the sense of agency (SoA), which is a critical psychological aspect emphasizing the feeling of control, in translation modes on 2D screens during the design process. Hence, this study aims to assess users’ SoA in virtual object translation modes on mouse-based, touch-based, and handheld augmented reality (AR) interfaces through subjective and objective measures, such as self-report, task performance, and electroencephalogram (EEG) data. Based on our findings in this study, users perceived a greater feeling of control in 1DoF translation mode, which may help them come up with more creative ideas, than in 3DoF translation mode in the design process; additionally, the handheld AR interface offers less control feel, which may have a negative impact on design quality and creativity, as compared with mouse- and touch-based interfaces. This research contributes to the current literature by analyzing the association between virtual object translation modes and SoA, as well as the relationship between different 2D interfaces and SoA in CAD. As a result of these findings, we propose several design considerations for virtual object translation on 2D screens, which may enable designers to perceive a desirable feeling of control during the design process.
Abstract.
DOI.
Zhang J, Huang M, Yang R, Wang Y, Tang X, Han J, Liang H-N (2023). Understanding the effects of hand design on embodiment in virtual reality.
Artificial Intelligence for Engineering Design, Analysis and Manufacturing,
37 Abstract:
Understanding the effects of hand design on embodiment in virtual reality.
Abstract
. Understanding user perceptions of interacting with the virtual world is one of the research focuses in recent years, given the rapid proliferation of virtual reality (VR) and driven to establish the metaverse. Users can generate a familiar connection between their bodies and the virtual world by being embodied in virtual hands, and hand representations can induce users’ embodiment in VR. The sense of embodiment represents the cognitive awareness of one's manifestation and includes three subcomponents: the sense of body ownership, agency and self-location. There is insufficient evidence in the literature about the effects of hand designs on the embodiment, especially based on studying its three subcomponents. This study investigates how virtual hand designs with five realism levels influence the three subcomponents of embodiment in VR. This research employs a self-report questionnaire commonly used in the literature to assess embodiment and evaluates agency and self-location by introducing implicit methods (intentional binding and proprioceptive measurement) derived from psychology. Besides, the objective data of eye tracking is used to explore the connection between embodiment and hand designs, and classifying participants’ eye tracking data to help analyze the link between embodiment and user attention. Overall, this research makes a major contribution through a systematic exploration of users’ embodied experience in VR and offers important evidence of the effects of virtual hand designs on body ownership, agency, and self-location, respectively. In addition, this study provides a valuable reference for further investigation of embodiment through implicit and objective methods, and practical design recommendations for virtual hand design in VR applications.
Abstract.
DOI.
Forbes H, Schaefer D, Panchal J, Han J (2022). A Design Framework for Social Product Development.
IEEE Transactions on Engineering Management,
69(2), 302-313.
DOI.
Sarica S, Han J, Luo J (2022). Design representation as semantic networks.
Computers in Industry,
144 Abstract:
Design representation as semantic networks.
Design representation is a common task in the design process to facilitate learning, analysis, redesign, communication, and other design activities. Traditional representation techniques rely on human expertize and manual construction and are difficult to repeat and scale. Here, we present a methodology that utilizes a readily available large-scale multidisciplinary design knowledge base (KB) to automatically generate design representation as a semantic network, i.e. a network of the entities and relations, based on design descriptions in textual form. The methodology requires no ad hoc statistics, but a readily available KB. Thus, the KB has an essential impact on the usefulness and effectiveness of the methodology. Based on a participatory study, we observe the effectiveness and differences of the semantic network representations that are automatically generated with alternative KBs. Specifically, a KB that is trained on engineering-related data, TechNet, provides a more sensible representation of engineering design than commonsense KBs, WordNet and ConceptNet, to the participants who are engineers. We further discuss the implications of the findings and future research directions to enhance design representation as semantic networks.
Abstract.
DOI.
Xia H, Han J, Milisavljevic-Syed J (2022). Forecasting the Number of End-of-Life Vehicles: State of the Art Report.
Proceedings of the Design Society,
2, 1169-1178.
Abstract:
Forecasting the Number of End-of-Life Vehicles: State of the Art Report.
AbstractAcademics and practitioners have shown a growing interest in automobile reverse supply chain (RSC) management as a result of the rise of circular economy and the development of Industry 4.0. Accurate quantity prediction enhances the efficiency of all decision levels in automobile RSC, not only the recovery of end-of-life vehicles (ELVs). Therefore, a comprehensive state-of-the-art review, evaluating ELVs quantity forecasting methodologies and summarizing the main variables influencing forecasting outcomes, is conducted to throw shed light on future research directions.
Abstract.
DOI.
Childs P, Han J, Chen L, Jiang P, Wang P, Park D, Yin Y, Dieckmann E, Vilanova I (2022). The Creativity Diamond—A Framework to Aid Creativity.
Journal of Intelligence,
10(4), 73-73.
Abstract:
The Creativity Diamond—A Framework to Aid Creativity.
There are many facets to creativity, and the topic has a profound impact on society. Substantial and sustained study on creativity has been undertaken, and much is now known about the fundamentals and how creativity can be augmented. To draw these elements together, a framework was developed called the creativity diamond, formulated on the basis of reviews of prior work, as well as the consideration of 20 PhD studies on the topics of creativity, design, innovation, and product development. The framework embodies the principles that quantity of ideas breeds quality through selection, and that a range of creativity tools can provoke additional ideas to augment our innate creativity. The creativity diamond proposed is a tool consisting of a divergent phase associated with the development of many distinctive ideas and a convergent phase associated with the refinement of ideas. The creativity diamond framework can be used to prompt and help select which tool or approach to use in a creative environment for innovative tasks. The framework has now been used by many students and professionals in diverse contexts.
Abstract.
DOI.
Park D, Han J, Childs PRN (2021). 266 Fuzzy front-end studies: current state and future directions for new product development.
Research in Engineering Design,
32(3), 377-409.
Abstract:
266 Fuzzy front-end studies: current state and future directions for new product development.
Abstract266 fuzzy front-end (FFE) studies in the new product development (NPD) sector were examined. The studies were selected using a bibliometrics method, and chronologically and statistically examined with ten criteria divided into two dimensions. The first dimension is associated with overall attributes of the FFE, consisting of six criteria: the study taxonomy, model type, NPD speed, NPD attributes, model characteristic, and model structure. The second dimension is relevant to the FFE performance structure related to process parameters, comprised of four criteria: the FFE task, activity, performance method, and toolkit. In terms of those two dimensions, the paper looks at previous FFE studies to gain an understanding of features of each FFE study along with related knowledge and theories, as well as identification of evolution trends of FFE studies. Based on the identification, an FFE model development strategy for each criterion is formulated, and this paper proposes possible options for executing those strategies which exert influence on the form of the cluster network. The intention is for the database to be utilised as an overview of all existing FFE studies and allow specific FFE studies to be selected to examine FFE approaches.This paper provides FFE model development guidance on how to deal with the overall attributes and outcomes of the FFE which affect the entirety of the innovation process, and how to manage the performance structure related to process parameters.
Abstract.
DOI.
Jiang P, Dieckmann E, Han J, Childs PRN (2021). A Bibliometric Review of Sustainable Product Design.
Energies,
14(21), 6867-6867.
Abstract:
A Bibliometric Review of Sustainable Product Design.
Consideration of sustainability in product development is becoming increasingly important and encompasses many aspects of product design. In this study, a bibliometric review of recent sustainable product design publications using Web of Science and VOSViewer is carried out. The review indicates that the majority of publications concerning sustainable product design is oriented towards environmental science-led subject areas and production-led journals. Analysis of author keyword co-occurrences reveals that circular economy, life cycle assessment, sustainable management, and optimization are the most popular topics in sustainable product design research. The analysis also reveals that the researchers fail to link sustainability research to activities in product design, which leads to the lack of access to relevant research that can make products more sustainable. Building on the findings, the authors propose four future research directions that aim to guide researchers to better correlate sustainability with product design, namely: sustainability interpretation, integration, assessment and validation, and improvement.
Abstract.
DOI.
Wang D, Li J, Ge Z, Han J (2021). A COMPUTATIONAL APPROACH TO GENERATE DESIGN WITH SPECIFIC STYLE.
Proceedings of the Design Society,
1, 21-30.
Abstract:
A COMPUTATIONAL APPROACH TO GENERATE DESIGN WITH SPECIFIC STYLE.
AbstractCreativity is crucial in design. In recent years, growing computational methods are applied to improve the creativity of design. This paper aims to explore an approach to generate creative design images with specific feature or design style. A Generative Adversarial Network model is applied in the approach to learn the specific design style. The target products will be projected into the latent space of model to transfer their styles and generate images. The generated images combine the features of the specific design style and the features of the target product. In the experiment, the approach using the generated images to inspire the human designer to generate the creative design in according styles. According to the primary verification by participants, the generated images can bring novelty and surprise to participants, which gain the positive impact on human creativity.
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DOI.
Yin Y, Han J, Huang S, Zuo H, Childs P (2021). A STUDY ON STUDENT: ASSESSING FOUR CREATIVITY ASSESSMENT METHODS IN PRODUCT DESIGN.
Proceedings of the Design Society,
1, 263-272.
Abstract:
A STUDY ON STUDENT: ASSESSING FOUR CREATIVITY ASSESSMENT METHODS IN PRODUCT DESIGN.
AbstractThis paper asked participants to assess four selected expert-rated Taiwan International Student Design Competition (TISDC) products using four methods: Consensual Assessment Technique (CAT), Creative Product Semantic Scale (CPSS), Product Creativity Measurement Instrument (PCMI), and revised Creative Solution Diagnosis Scale (rCSDS). The results revealed that, between experts and non-experts, the ranking results by the CAT and CPSS were the same, while the ranking results of the rCSDS were different. The CAT, CPSS, and TISDC methods provided the same results indicating that raters may return the same results on creativity assessment, and the results are not affected by the selected methods.If it is necessary to use non-experts to assess creativity and the creativity results are expected to be the same with that of experts, asking non-expert raters to use CPSS to assess creativity and then ranking the creativity score is more reliable. The study offers a contribution to the creativity domain on deciding which methods may be more reliable from a comparison perspective.
Abstract.
DOI.
Han J, Forbes H, Schaefer D (2021). An exploration of how creativity, functionality, and aesthetics are related in design.
Research in Engineering Design,
32(3), 289-307.
Abstract:
An exploration of how creativity, functionality, and aesthetics are related in design.
AbstractCreativity is considered to have a significant impact on the design process and its outcomes, while aesthetics and functionality are considered key characteristics of products. A relationship between creativity, aesthetics and functionality is, therefore, often assumed, however, researchers view the relations between creativity, functionality and aesthetics differently. In this paper, the authors present first evidence that novelty, usefulness and surprise are the core elements of design creativity. The aim of this research is the exploration of the relations between functionality, aesthetics, novelty, usefulness, surprise, and overall creativity, by means of an experimental case study involving design experts evaluating forty-five design samples. Statistical analysis has been conducted to investigate and understand these relations. The results obtained indicate that aesthetics has a significant positive relationship with creativity but that functionality does not have a statistically significant relationship with creativity in general. Further analysis confirms that design creativity is strongly and positively related to novelty and surprise, but not significantly related to usefulness. In addition, high correlation coefficient values have revealed that creativity, novelty and surprise are perceived as the same dimension as are functionality and usefulness. This paper may be of interest to researchers, practitioners, and educators in the broader realm of design, including industrial design, creativity in design, engineering design, design innovation, product design and new product development. It provides new insights into how creativity is perceived within the field and offers a new point of view on creativity and its dimensions for the community to meditate and to debate.
Abstract.
DOI.
Obieke CC, Milisavljevic-Syed J, Han J (2021). DATA-DRIVEN CREATIVITY: COMPUTATIONAL PROBLEM-EXPLORING IN ENGINEERING DESIGN.
Proceedings of the Design Society,
1, 831-840.
Abstract:
DATA-DRIVEN CREATIVITY: COMPUTATIONAL PROBLEM-EXPLORING IN ENGINEERING DESIGN.
AbstractCreativity is required in engineering design. It is required in the aspects of problem-solving - conceptualizing a new solution to a problem, and problem-exploring - conceptualizing a new problem. Studies show that, in both aspects, creativity is a difficult task in practice. The aim of this study is to support the engineering design community by easing the difficulty in the problem-exploring practice. To achieve this, a computational problem-exploring (CPE) model is developed to mimic how design engineers identify a valid design problem. Consequently, a CPE tool - Pro-Explora V1 is developed based on the CPE model. The CPE model consists of a synergy of emergent computational technologies including data retrieval and machine learning. A Markovian model is employed in the CPE model to enable a data-driven random process for exploring design problems. In pilot test, Pro-Explora V1 generated some engineering design-related problems which are meaningful, unique, and could not be distinguished from naturally generated ones. It provides support to design engineers in problem-exploring at the early stage in engineering design. This study contributes to the global effort towards data-driven processes in the fourth industrial revolution.
Abstract.
DOI.
Han J, Park D, Hua M, Childs PRN (2021). Is group work beneficial for producing creative designs in STEM design education?.
International Journal of Technology and Design Education,
32(5), 2801-2826.
Abstract:
Is group work beneficial for producing creative designs in STEM design education?.
AbstractCreativity is a significant element in design education, and frequently a significant competency during recruitment for design professions. Group work and individual work are widely employed in higher education. Many studies have highlighted the merits of employing group work in design education, cultivating collaborative design abilities and fostering sought-after employability skills. Although the benefits of group work in design practice and education are widely recognised, few studies have shown evidence that group work outperforms individual work regarding creative design activities in higher education contexts. Therefore, the aim of this research is to explore whether group or individual work is more beneficial for fostering students in generating creative designs in STEM design education. A case study, involving two cohorts of second-year undergraduate students studying a UK Engineering degree Industrial Design programme, is reported. The case study compares the design outputs produced by the two cohorts tackling the same design challenge in a product design module but employing individual and group work, respectively. The case study results show that no significant differences have been found between the design outputs produced by group work and individual work, considering novelty, usefulness and overall creativity. Further analysis reveals that a student’s academic performance is not significantly related to the level of creativity of the design produced. This research indicates design educators should employ both group and individual work to complement each other in design education, and suggests potential solutions to enhance students’ design creativity.
Abstract.
DOI.
Han J, Jiang P, Childs PRN (2021). Metrics for Measuring Sustainable Product Design Concepts.
Energies,
14(12), 3469-3469.
Abstract:
Metrics for Measuring Sustainable Product Design Concepts.
Although products can contribute to ecosystems positively, they can cause negative environmental impacts throughout their life cycles, from obtaining raw material, production, and use, to end of life. It is reported that most negative environmental impacts are decided at early design phases, which suggests that the determination of product sustainability should be considered as early as possible, such as during the conceptual design stage, when it is still possible to modify the design concept. However, most of the existing concept evaluation methods or tools are focused on assessing the feasibility or creativity of the concepts generated, lacking the measurements of sustainability of concepts. The paper explores key factors related to sustainable design with regard to environmental impacts, and describes a set of objective measures of sustainable product design concept evaluation, namely, material, production, use, and end of life. The rationales of the four metrics are discussed, with corresponding measurements. A case study is conducted to demonstrate the use and effectiveness of the metrics for evaluating product design concepts. The paper is the first study to explore the measurement of product design sustainability focusing on the conceptual design stage. It can be used as a guideline to measure the level of sustainability of product design concepts to support designers in developing sustainable products. Most significantly, it urges the considerations of sustainability design aspects at early design phases, and also provides a new research direction in concept evaluation regarding sustainability.
Abstract.
DOI.
Han J, Sarica S, Shi F, Luo J (2021). SEMANTIC NETWORKS FOR ENGINEERING DESIGN: a SURVEY.
Proceedings of the Design Society,
1, 2621-2630.
Abstract:
SEMANTIC NETWORKS FOR ENGINEERING DESIGN: a SURVEY.
AbstractThere have been growing uses of semantic networks in the past decade, such as leveraging large-scale pre-trained graph knowledge databases for various natural language processing (NLP) tasks in engineering design research. Therefore, the paper provides a survey of the research that has employed semantic networks in the engineering design research community. The survey reveals that engineering design researchers have primarily relied on WordNet, ConceptNet, and other common-sense semantic network databases trained on non-engineering data sources to develop methods or tools for engineering design. Meanwhile, there are emerging efforts to mine large scale technical publication and patent databases to construct engineering-contextualized semantic network databases, e.g. B-Link and TechNet, to support NLP in engineering design. On this basis, we recommend future research directions for the construction and applications of engineering-related semantic networks in engineering design research and practice.
Abstract.
DOI.
Han J, Sarica S, Shi F, Luo J (2021). Semantic Networks for Engineering Design: State of the Art and Future Directions.
Journal of Mechanical Design, 1-45.
Abstract:
Semantic Networks for Engineering Design: State of the Art and Future Directions.
Abstract
. In the past two decades, there has been increasing use of semantic networks in engineering design for supporting various activities, such as knowledge extraction, prior art search, idea generation and evaluation. Leveraging large-scale pre-trained graph knowledge databases to support engineering design-related natural language processing (NLP) tasks has attracted a growing interest in the engineering design research community. Therefore, this paper aims to provide a survey of the state-of-the-art semantic networks for engineering design and propositions of future research to build and utilize large-scale semantic networks as knowledge bases to support engineering design research and practice. The survey shows that WordNet, ConceptNet and other semantic networks, which contain common-sense knowledge or are trained on non-engineering data sources, are primarily used by engineering design researchers to develop methods and tools. Meanwhile, there are emerging efforts in constructing engineering and technical-contextualized semantic network databases, such as B-Link and TechNet, through retrieving data from technical data sources and employing unsupervised machine learning approaches. On this basis, we recommend six strategic future research directions to advance the development and uses of large-scale semantic networks for artificial intelligence applications in engineering design.
Abstract.
DOI.
Forbes H, Han J, Schaefer D (2020). A Crowdsourcing Data-Driven Approach for Innovation.
International Journal of Systematic Innovation,
6 DOI.
Han J, Forbes H, Shi F, Hao J, Schaefer D (2020). A DATA-DRIVEN APPROACH FOR CREATIVE CONCEPT GENERATION AND EVALUATION.
Proceedings of the Design Society: DESIGN Conference,
1, 167-176.
Abstract:
A DATA-DRIVEN APPROACH FOR CREATIVE CONCEPT GENERATION AND EVALUATION.
AbstractConceptual design, as an early phase of the design process, is known to have the highest impact on determining the innovation level of design results. Although many tools exist to support designers in conceptual design, additional knowledge, especially knowledge related to emerging technologies, is still often needed. In this paper the authors aim to propose a data-driven creative concept generation and evaluation approach to support designers in incorporating emerging technologies in the new product early development stage. The approach is demonstrated by means of an illustrated example.
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DOI.
Han J, Park D, Forbes H, Schaefer D (2020). A computational approach for using social networking platforms to support creative idea generation.
Procedia CIRP,
91, 382-387.
DOI.
Shi F, Soman RK, Han J, Whyte JK (2020). Addressing adjacency constraints in rectangular floor plans using Monte-Carlo Tree Search.
Automation in Construction,
115, 103187-103187.
DOI.
Han J, Hua M, Park D, Wang P, Childs PRN (2020). COMPUTATIONAL CONCEPTUAL DISTANCES IN COMBINATIONAL CREATIVITY.
Proceedings of the Design Society: DESIGN Conference,
1, 177-186.
Abstract:
COMPUTATIONAL CONCEPTUAL DISTANCES IN COMBINATIONAL CREATIVITY.
AbstractCombinational creativity can play a significant role in supporting designers to produce creative ideas during the early stages of new product development. This paper explores conceptual distances in combinational creativity from computational perspectives. A study conducted indicates that different computational measurements show different conceptual distance results. However, the study suggests far-related ideas could lead to outcomes that are more creative than closely-related ones. This paper provides useful insights into exploring future computational design support tools.
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DOI.
Park D, Bahrudin FI, Han J (2020). Circular Reasoning for the Evolution of Research through a Strategic Construction of Research Methodologies. International Journal of Quantitative and Qualitative Research Methods
Forbes H, Schaefer D, Han J, De Oliveira FB (2020). Investigating Factors Influential on the Success of Social Product Development initiatives.
Procedia CIRP,
91, 107-112.
DOI.
Obieke C, Milisavljevic-Syed J, Han J (2020). Supporting Design Problem-exploring with Emergent Technologies.
Procedia CIRP,
91, 373-381.
DOI.
Forbes H, Han J, Schaefer D (2020). USING CROWDFUNDING AS PART OF THE PRODUCT DEVELOPMENT PROCESS.
Proceedings of the Design Society: DESIGN Conference,
1, 1245-1254.
Abstract:
USING CROWDFUNDING AS PART OF THE PRODUCT DEVELOPMENT PROCESS.
AbstractCrowdfunding is the process of taking a project in need of investment and asking a large group of people to supply the investment. It allows organisations to sell their product before production, reducing the risk of new product development. Organisations such as Tesla and General Electric have used crowdfunding successfully but crowdfunding is yet to be explored as part of a formalised product development framework. This paper includes the business case for commercialising new products with crowdfunding and presents crowdfunding as part of a product development and commercialisation framework.
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DOI.
Han J, Hua M, Shi F, Childs PRN (2019). A Further Exploration of the Three Driven Approaches to Combinational Creativity.
Proceedings of the Design Society: International Conference on Engineering Design,
1(1), 2735-2744.
Abstract:
A Further Exploration of the Three Driven Approaches to Combinational Creativity.
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'.
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DOI.
Han J, Forbes H, Schaefer D (2019). An Exploration of the Relations between Functionality, Aesthetics and Creativity in Design.
Proceedings of the Design Society: International Conference on Engineering Design,
1(1), 259-268.
Abstract:
An Exploration of the Relations between Functionality, Aesthetics and Creativity in Design.
AbstractCreativity 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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DOI.
Han J, Schaefer D (2019). An Ontology for Supporting Digital Manufacturability Analysis.
Procedia CIRP,
81, 850-855.
DOI.
Chen L, Wang P, Dong H, Shi F, Han J, Guo Y, Childs PRN, Xiao J, Wu C (2019). An artificial intelligence based data-driven approach for design ideation.
Journal of Visual Communication and Image Representation,
61, 10-22.
DOI.
Hua M, Han J, Ma X, Childs P (2019). Exploring the Effect of Combinational Pictorial Stimuli on Creative Design Performance.
Proceedings of the Design Society: International Conference on Engineering Design,
1(1), 1763-1772.
Abstract:
Exploring the Effect of Combinational Pictorial Stimuli on Creative Design Performance.
AbstractVisual stimuli can be useful in supporting design ideation process. However, researchers still know very little about how stimuli should be delivered to designers during the early design stage. This question is crucial to the effective use of stimuli because previous researches have proved that ill-presented stimuli can have a negative impact on design creativity. Therefore, an empirical study was conducted with the aim of exploring if and how combinational pictorial stimuli can affect designers' creative performance. Results from a total of 36 participants show that the design outcomes presented by the group exposed to combinational pictorial stimuli were more creative than those given by the group exposed to no stimuli or randomly presented pictorial stimuli. These results imply that the form of stimuli delivery can affect creative design outcomes and combinational pictorial stimuli best support design creativity among these three conditions. These findings give us a better understanding of the roles that visual stimuli play in design, which is expected to bring us important implications for both design education and design support tool development
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DOI.
Han J, Shi F, Chen L, Childs PRN (2018). A computational tool for creative idea generation based on analogical reasoning and ontology.
Artificial Intelligence for Engineering Design, Analysis and Manufacturing,
32(4), 462-477.
Abstract:
A computational tool for creative idea generation based on analogical reasoning and ontology.
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.
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DOI.
Garvey B, Chen L, Shi F, Han J, Childs PRN (2018). New directions in computational, combinational and structural creativity.
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,
233(2), 425-431.
Abstract:
New directions in computational, combinational and structural creativity.
This paper examines how new and creative relationships in datasets, not easily revealed by conventional information retrieval methods and technologies, can be identified using a mix of established and new methods. The authors present how the integration of computerised morphological analysis with new computational models, incorporating web crawler, data processing networking and data mining algorithms, can help facilitate the identification of new ideas. Boden’s concept of ‘Combinational Creativity’ indicates a structured process, which generates unfamiliar combinations of familiar concepts and constructs allowing creative styles of thought. This structured approach has been constrained by the resultant combinatorial explosion and the dearth of easily accessible computer software and supporting methodologies, to help identify viable new solutions. Feature-enhanced computerised morphological analysis provides a new structural support tool for creativity and innovation. Morphological analysis systematically structures and examines all the possible relationships in a multidimensional, highly complex, usually non-quantifiable problem space. Computerisation of the process now permits large number of configurations (millions) in the problem space to be majorly reduced (typically > 95%), identifying only internally consistent solutions. These solutions are likely to embrace configurations containing something, which has not previously been considered, thus increasing the probability of some form of technological or design breakthrough and hence truly creative.
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DOI.
Han J, Shi F, Chen L, Childs PRN (2018). The Combinator – a computer-based tool for creative idea generation based on a simulation approach.
Design Science,
4 Abstract:
The Combinator – a computer-based tool for creative idea generation based on a simulation approach.
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.
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DOI.
Hua M, Han J, Wang P, Huang S (2018). Towards a Comprehensive Understanding of Design Sketch. Idealogy, 3
Shi F, Chen L, Han J, Childs P (2017). A Data-Driven Text Mining and Semantic Network Analysis for Design Information Retrieval.
Journal of Mechanical Design,
139(11)
Abstract:
A Data-Driven Text Mining and Semantic Network Analysis for Design Information Retrieval.
With the advent of the big-data era, massive information stored in electronic and digital forms on the internet become valuable resources for knowledge discovery in engineering design. Traditional document retrieval method based on document indexing focuses on retrieving individual documents related to the query, but is incapable of discovering the various associations between individual knowledge concepts. Ontology-based technologies, which can extract the inherent relationships between concepts by using advanced text mining tools, can be applied to improve design information retrieval in the large-scale unstructured textual data environment. However, few of the public available ontology database stands on a design and engineering perspective to establish the relations between knowledge concepts. This paper develops a “WordNet” focusing on design and engineering associations by integrating the text mining approaches to construct an unsupervised learning ontology network. Subsequent probability and velocity network analysis are applied with different statistical behaviors to evaluate the correlation degree between concepts for design information retrieval. The validation results show that the probability and velocity analysis on our constructed ontology network can help recognize the high related complex design and engineering associations between elements. Finally, an engineering design case study demonstrates the use of our constructed semantic network in real-world project for design relations retrieval.
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DOI.
Han J, Park D, Shi F, Chen L, Hua M, Childs PRN (2017). Three driven approaches to combinational creativity: Problem-, similarity- and inspiration-driven.
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,
233(2), 373-384.
Abstract:
Three driven approaches to combinational creativity: Problem-, similarity- and inspiration-driven.
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.
Abstract.
DOI.
Conferences
Yin Y, Wang P, Han J, Zuo H, Childs P (2023). Comparing Designers’ EEG Activity Characteristics for Common Association and Remote Association.
DOI.
Han J, Jiang P (2022). Using Taxonomy for Supporting Sustainable Product Design Concept Analysis. How product and manufacturing design enable sustainable companies and societies.
DOI.
Sun W, Huang M, Yang R, Han J, Yue Y (2021). Mental Workload Evaluation of Virtual Object Manipulation on WebVR: an EEG Study. 2021 14th International Conference on Human System Interaction (HSI). 8th - 10th Jul 2021
DOI.
Zhang J, Huang M, Zhao L, Yang R, Liang H-N, Han J, Wang L, Sun W (2020). Influence of Hand Representation Design on Presence and Embodiment in Virtual Environment. 2020 13th International Symposium on Computational Intelligence and Design (ISCID). 12th - 13th Dec 2020
DOI.
Sun W, Huang M, Yang R, Zhang J, Wang L, Han J, Yue Y (2020). Workload, Presence and Task Performance of Virtual Object Manipulation on WebVR. 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR). 14th - 18th Dec 2020
DOI.
Forbes H, Han J, Schaefer D (2019). Exploring a Social Media Crowdsourcing Data-Driven Approach for Innovation. the 10th International Conference on Systematic Innovation (ICSI).
Chen L, Wang P, Shi F, Han J, Childs PRN (2018). A COMPUTATIONAL APPROACH FOR COMBINATIONAL CREATIVITY IN DESIGN. 15th International Design Conference.
DOI.
Hao J, Wang L, Han J, Schaefer D (2018). Exploring the Impact of Functional Terms in Idea Generation in Design. CIE 48 International Conference on Computers and Industrial Engineering.
Han J, Shi F, Park D, Chen L, Childs PRN (2018). THE CONCEPTUAL DISTANCES BETWEEN IDEAS IN COMBINATIONAL CREATIVITY. 15th International Design Conference.
DOI.
Chen L, Shi F, Han J, Childs PRN (2017). A Network-Based Computational Model for Creative Knowledge Discovery Bridging Human-Computer Interaction and Data Mining. ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. 6th - 9th Aug 2017
Abstract:
A Network-Based Computational Model for Creative Knowledge Discovery Bridging Human-Computer Interaction and Data Mining.
Abstract.
DOI.
Shi F, Chen L, Han J, Childs P (2017). Implicit Knowledge Discovery in Design Semantic Network by Applying Pythagorean Means on Shortest Path Searching. ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. 6th - 9th Aug 2017
Abstract:
Implicit Knowledge Discovery in Design Semantic Network by Applying Pythagorean Means on Shortest Path Searching.
Abstract.
DOI.
Han J, Shi F, Chen L, Childs PRN (2017). The Analogy Retriever–an idea generation tool. the 21st International Conference on Engineering Design (ICED 17).
Han J, Park D, Shi F, Chen L, Childs PRN (2017). Three driven approaches to combinational creativity. the 21st International Conference on Engineering Design (ICED 17).
Shi F, Han J, Childs PRN (2016). A data mining approach to assist design knowledge retrieval based on keyword associations. DESIGN 2016 14th International Design Conference.
Han J, Shi F, Childs PRN (2016). The Combinator: a Computer-based Tool for Idea Generation. DESIGN 2016 14th International Design Conference.
Han J, Shi F, Childs PRN (2016). The combinator: a computer-based tool for idea generation.
