Research on computer-aided creative design platform based on creativity model

Liu, Xiaoying; Li, Yan; Pan, Peiyuan; Li, Wenqiang

doi:10.1016/j.eswa.2011.02.032

Cited by 40 publications

(23 citation statements)

References 13 publications

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“…A system called combinFormation supports information collection, integration, and visualization and is shown to improve idea generation (Koh, Kerne, & Hill, 2007). Similarly, providing a knowledge base or case-based reasoning system (Althizen & Wierenga, 2014;Cheung et al, 2008;Forgionne & Newman, 2007;Liu et al, 2011), visualizing information or the concept space (Brade, Heseler, & Groh, 2011;Fentem, Dumas, & McDonnell, 1998;Hori, 1997;Sugimoto, Hori, & Ohsuga, 1996), using data synthesis for uncovering important information (Wang & Ohsawa, 2013), and organizing research notes (Aihara & Hori, 1998) have all been used to support information finding. Jenkin and colleagues (2013) developed a system to identify novel information related to a topic.…”

Section: Approaches Supporting Information Findingmentioning

confidence: 98%

“…Some of these methods simply provide a process guide that includes problem identification (Althuizen & Reichel, 2016;Elam & Mead, 1990;Makaras & Elam, 1997). Other methods include identifying and connecting problem elements (Forgionne & Newman, 2007;MacCrimmon & Wagner, 1994), visualizing the concept space of design (Hori, 1997), and guiding the problem definition process such as maximizing and minimizing the problem (Liu et al, 2011). It is clear that there is a lack of sophisticated approaches to supporting problem finding.…”

Section: Approaches Supporting Problem Findingmentioning

confidence: 99%

See 1 more Smart Citation

A literature review on individual creativity support systems

Kai

Nickerson

2017

Computers in Human Behavior

101

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Individual creativity support systems have been developed to facilitate creative work. This article reviews the various design requirements and approaches proposed for supporting individual creative work, as well as relevant creativity theories. Current creativity support systems use many approaches in supporting the collection of relevant information and the creation of ideas or artifacts. However, the designs are typically based on just a few creativity theories. Based on various creativity theories, we propose a new integrated framework for individual creativity support systems. This framework enumerates aspects, components, and features of creativity support systems.

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Section: Approaches Supporting Information Findingmentioning

confidence: 98%

Section: Approaches Supporting Problem Findingmentioning

confidence: 99%

A literature review on individual creativity support systems

Kai

Nickerson

2017

Computers in Human Behavior

101

View full text Add to dashboard Cite

show abstract

“…The relationship between design and creativity is perhaps most fully explored in the field of human-computer interaction (HCI) [85] though the IS literature also contains numerous references to the role of design in innovation. Notably, Martin [56] and Sas and Zhang [86] suggest that design is of central importance to the innovation effort.…”

Section: Software Design Capabilitymentioning

confidence: 99%

Innovation Drivers and Outputs for Software Firms: Literature Review and Concept Development

Rose

Furneaux

2016

Advances in Software Engineering

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Software innovation, the ability to produce novel and useful software systems, is an important capability for software development organizations and information system developers alike. However, the software development literature has traditionally focused on automation and efficiency while the innovation literature has given relatively little consideration to the software development context. As a result, there is a gap in our understanding of how software product and process innovation can be managed. Specifically, little attention has been directed toward synthesizing prior learning or providing an integrative perspective on the key concepts and focus of software innovation research. We therefore identify 93 journal articles and conference papers within the domain of software innovation and analyse repeating patterns in this literature using content analysis and causal mapping. We identify drivers and outputs for software innovation and develop an integrated theory-oriented concept map. We then discuss the implications of this map for future research.

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“…Second, in the stage of determining design tasks, the designer needs to be aware of the knowledge on social background, technology development, and cost control. Third, in the conceptual design stage, since this stage determines the final level of product innovation, which has great impact on the quality and cost of the product, 13,14 the designer should take into account a variety of design constraints and grasp every aspect of product design at the macroscopic level, including the knowledge of innovative design, scientific effects database, patent database, case database, domain knowledge, design standards, design specifications, comprehensive knowledge, and so on. Fourth, in the structural design stage, the designer needs to use the material selection, mechanical assembly, computeraided design (CAD) technology, and related design experience skillfully.…”

Section: Knowledge Connotation For Innovative Designmentioning

confidence: 99%

Research on knowledge support technology for product innovation design based on quality function knowledge deployment

Zhang

Zhao

Wang

et al. 2016

Advances in Mechanical Engineering

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Based on the analysis of the relationship between the process of product innovation design and knowledge, this article proposes a theoretical model of quality function knowledge deployment. In order to link up the product innovation design and the knowledge required by the designer, the iterative method of quality function knowledge deployment is refined, as well as the knowledge retrieval model and knowledge support model based on quality function knowledge deployment are established. In the whole life cycle of product design, in view of the different requirements for knowledge in conceptual design stage, components' configuration stage, process planning stage, and production planning stage, the quality function knowledge deployment model could link up the required knowledge with the engineering characteristics, component characteristics, process characteristics, and production characteristics in the four stages using the mapping relationship between the function characteristics and the knowledge and help the designer to track the required knowledge for realizing product innovation design. In this article, an instance about rewinding machine is given to demonstrate the practicability and validity of product innovation design knowledge support technology based on quality function knowledge deployment.

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Research on computer-aided creative design platform based on creativity model

Cited by 40 publications

References 13 publications

A literature review on individual creativity support systems

A literature review on individual creativity support systems

Innovation Drivers and Outputs for Software Firms: Literature Review and Concept Development

Research on knowledge support technology for product innovation design based on quality function knowledge deployment

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