Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations

Suyun Sandra Bae, Oh Hyun Kwon, Senthil Chandrasegaran, Kwan Liu Ma

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationCHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery (ACM)
Number of pages13
ISBN (Electronic)9781450367080
Publication statusPublished - 2020
Externally publishedYes
Event2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020 - Honolulu, United States
Duration: 25 Apr 202030 Apr 2020

Publication series

NameConference on Human Factors in Computing Systems - Proceedings


Conference2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020
CountryUnited States
OtherVirtual/online event due to COVID-19


  • creativity
  • knowledge graph
  • mind mapping
  • suggestion

Cite this