Spinneret

Aiding Creative Ideation through Non-Obvious Concept Associations

Conference Paper (2020)
Author(s)

Suyun Sandra Bae (University of California)

Oh Hyun Kwon (University of California)

Senthil Chandrasegaran (University of California)

Kwan Liu Ma (University of California)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1145/3313831.3376746
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Publication Year
2020
Language
English
Affiliation
External organisation
ISBN (electronic)
9781450367080

Abstract

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.

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