A literature review on individual creativity support systems

Kai, Wang; Nickerson, Jeffrey V.

doi:10.1016/j.chb.2017.04.035

Cited by 101 publications

(78 citation statements)

References 103 publications

(180 reference statements)

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“…Therefore, theories related to idea generation are reviewed. Two types of theories are particularly relevant to creativity techniques: motivational and cognitive theories of creativity (Wang and Nickerson, 2017). Some theories were selected from these types because they had important implications on classifying IGTs.…”

Section: Introductionmentioning

confidence: 99%

Towards a Taxonomy of Idea Generation Techniques

Wang

2019

Foundations of Management

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Business organizations often need to manage creative work. An important way of promoting creative work is to use idea generation techniques (IGTs). Numerous IGTs have been developed, and choosing from such a big pool of candidates can be demanding, which is further complicated by the elusiveness of the mechanisms of these IGTs. This study aims at developing a taxonomy for IGTs based on their underlying mechanisms of supporting ideation. First, the current literature for the classification of IGTs is reviewed. Then some related creativity theories are consulted and a new classification system is proposed based on these theories and previous studies. Eighty seven IGTs are classified according to the system. The implications for research and practice are discussed.

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Section: Introductionmentioning

confidence: 99%

Towards a Taxonomy of Idea Generation Techniques

Wang

2019

Foundations of Management

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“…However, only some research on creativity support systems have dealt with higher objectives. According to Wang et al, only seven studies dealt with such "problem finding" approaches (Wang and Nickerson 2017). Currently, no tool for use with knowledge base of AI ethics is available that supports ethical AI design; therefore, our study covers these aspects.…”

Section: Related Workmentioning

confidence: 99%

Organic and dynamic tool for use with knowledge base of AI ethics for promoting engineers’ practice of ethical AI design

Sekiguchi

Hori

2018

AI & Soc

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In recent years, ethical questions related to the development of artificial intelligence (AI) are being increasingly discussed. However, there has not been enough corresponding increase in the research and development associated with AI technology that incorporates with ethical discussion. We therefore implemented an organic and dynamic tool for use with knowledge base of AI ethics for engineers to promote engineers' practice of ethical AI design to realize further social values. Here, "organic" means that the tool deals with complex relationships among different AI ethics. "Dynamic" means that the tool dynamically adopts new issues and helps engineers think in their own contexts. Data in the knowledge base of the tool is standardized based on the ethical design theory that consists of an extension of the hierarchical representation of artifacts to understand ethical considerations from the perspective of engineering, and a description method to express the design ideas. In addition, we apply the dynamic knowledge management model called knowledge liquidization and crystallization. To discuss the effects, we introduce three cases: a case for the clarification of differences in the structures among AI ethics and design ideas, a case for the presentation of semantic distance among them, and a case for the recommendation of the scenario paths that allow engineers to seamlessly use AI ethics in their own contexts. We discuss the effectiveness of the tool. We also show the probability that engineers can reconstruct AI ethics as a more practical one with professional ethicists.

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“…Crowds consist of individuals, and an individual's creativity can be enhanced through creativity support tools [56,57]. A key research area concerning these tools is the ideation phase [25,66]. Prior work suggests that computational priming in the ideation phase (e.g.…”

Section: Introductionmentioning

confidence: 99%

Design recommendations for augmenting creative tasks with computational priming

Oppenlaender

Hosio

2019

Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia

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Supporting creativity is a grand challenge in HCI. A critical component of creativity is the ability for divergent thinking, and divergent thinking can be fostered through looking at the problem through the lens of a different person, by assuming a role. Prior work found that assuming a role and affective stimulation with images may lead individuals to be more creative. In this work, we investigate the use of roles in stimulating the creativity of individuals in two complementary studies. In the first study, we implemented an online instrument for augmenting creativity with roles and images, and recruited crowd workers (n = 60) to complete a divergent thinking task while assuming a role. Interestingly, and in contrast to earlier findings, our analysis could not confirm the computational priming having an effect on the outcome of a small batch of creative tasks. In the second study, we observed the effect of roles on the ideation process of individuals when they reach an impasse in the flow of ideas. Our complementary studies highlight that adopting roles can help when one runs out of ideas, but this is not a silver bullet for improving divergent thinking, especially in online crowdsourcing environments that are increasingly being used for experiments and data collection in behavioural science. Our work informs the design of future crowd-powered creativity support tools and contributes a timely case study to the body of literature in the growing field of creativity support online.

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A literature review on individual creativity support systems

Cited by 101 publications

References 103 publications

Towards a Taxonomy of Idea Generation Techniques

Towards a Taxonomy of Idea Generation Techniques

Organic and dynamic tool for use with knowledge base of AI ethics for promoting engineers’ practice of ethical AI design

Design recommendations for augmenting creative tasks with computational priming

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