Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations

要旨

Mind mapping is a popular way to explore a design space in creative thinking exercises, allowing users to form associations between concepts. Yet, most existing digital tools for mind mapping focus on authoring and organization, with little support for addressing the challenges of mind mapping such as stagnation and design fixation. We present Spinneret, a functional approach to aid mind mapping by providing suggestions based on a knowledge graph. Spinneret uses biased random walks to explore the knowledge graph in the neighborhood of an existing concept node in the mind map, and provides "suggestions" for the user to add to the mind map. A comparative study with a baseline mind-mapping tool reveals that participants created more diverse and distinct concepts with Spinneret, and reported that the suggestions inspired them to think of ideas they would otherwise not have explored.

キーワード
Mind mapping
Creativity
Knowledge Graph
Suggestion
著者
Suyun Sandra Bae
University of California, Davis, Davis, CA, USA
Oh-Hyun Kwon
University of California, Davis, Davis, CA, USA
Senthil Chandrasegaran
University of California, Davis, Davis, CA, USA
Kwan-Liu Ma
University of California, Davis, Davis, CA, USA
DOI

10.1145/3313831.3376746

論文URL

https://doi.org/10.1145/3313831.3376746

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Creative & collaborative work

Paper session
317AB KAHO'OLAWE
5 件の発表
2020-04-28 20:00:00
2020-04-28 21:15:00
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