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Search Strategies and the Creative Process (Year 2010) PDF Inferences Show Both PDFs Interaction-based Authoring for Scalable Co-creative Agents (Year 2015) PDF
The human creative process can be likened to searching for solutions to a problem. This work introduces a computerized aesthetic composition task that is inspired by the " creativity as search " metaphor. Data from this technique can illuminate how personality and situational influences a↵ect the creative process, rather than merely noting that they a↵ect the outcome. Beyond this, the technique can be used to highlight underlying similarities between human creativity and optimization, as well as the important di↵erences. Early results with N = 34 participants suggest that people's search strategies do di↵er, and show connections between personality, evaluation criteria, and search strategy. Suggestions for future research are given.
A aesthetic composition task will authoring the co-creative authoring-that combines ideas from case-based learning and imi-tative learning.

The "" creativity as search "" metaphor will is described the an instantiation of the interaction-based authoring approach.

This work will presents the use.

This article presents a novel approach to authoring co-creative systems-called interaction-based authoring-that combines ideas from case-based learning and imi-tative learning, while emphasizing its use in open-ended co-creative application domains. This work suggests an alternative to manually authoring knowledge for com-putationally creative agents that relies on user interaction " in the wild " as opposed to high-effort manual au-thoring beforehand. The Viewpoints AI installation is described as an instantiation of the interaction-based authoring approach. Finally, the interaction-based au-thoring approach is evaluated within the Viewpoints AI installation and the results are discussed guiding development and further evaluation in the future.

Search Strategies and the Creative Process (Year 2010) PDF	Inferences Show Both PDFs	Interaction-based Authoring for Scalable Co-creative Agents (Year 2015) PDF
The human creative process can be likened to searching for solutions to a problem. This work introduces a computerized aesthetic composition task that is inspired by the " creativity as search " metaphor. Data from this technique can illuminate how personality and situational influences a↵ect the creative process, rather than merely noting that they a↵ect the outcome. Beyond this, the technique can be used to highlight underlying similarities between human creativity and optimization, as well as the important di↵erences. Early results with N = 34 participants suggest that people's search strategies do di↵er, and show connections between personality, evaluation criteria, and search strategy. Suggestions for future research are given.	A aesthetic composition task will authoring the co-creative authoring-that combines ideas from case-based learning and imi-tative learning. The "" creativity as search "" metaphor will is described the an instantiation of the interaction-based authoring approach. This work will presents the use.	This article presents a novel approach to authoring co-creative systems-called interaction-based authoring-that combines ideas from case-based learning and imi-tative learning, while emphasizing its use in open-ended co-creative application domains. This work suggests an alternative to manually authoring knowledge for com-putationally creative agents that relies on user interaction " in the wild " as opposed to high-effort manual au-thoring beforehand. The Viewpoints AI installation is described as an instantiation of the interaction-based authoring approach. Finally, the interaction-based au-thoring approach is evaluated within the Viewpoints AI installation and the results are discussed guiding development and further evaluation in the future.

Key Mapped Terms

Target Node Source Node
introduce present
work article_its
task_that approach
creativity installation_it
be be

Target Node	Source Node
introduce	present
work	article_its
task_that	approach
creativity	installation_it
be	be

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