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Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations

Authors:

Suyun Sandra Bae,

Senthil Chandrasegaran,

Kwan-Liu MaAuthors Info & Claims

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 13

https://doi.org/10.1145/3313831.3376746

Published: 23 April 2020 Publication History

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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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Cited By

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Index Terms

Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interactive systems and tools

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cover image ACM Conferences

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

10688 pages

ISBN:9781450367080

DOI:10.1145/3313831

General Chairs:
Regina Bernhaupt
Eindhoven University of Technology, Netherlands
,
Florian 'Floyd' Mueller
Monash University, Australia
,
David Verweij
Newcastle University, UK
,
Josh Andres
RMIT, Australia
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
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Andy Cockburn
University of Canterbury, New Zealand
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Ignacio Avellino
University of Maryland Baltimore County, USA
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Alix Goguey
Grenoble Alpes University, France
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Pernille Bjørn
University of Copenhagen, Denmark
,
Shengdong (Shen) Zhao
National University of Singapore, Singapore
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Briane Paul Samson
Future University Hakodate, Japan & De La Salle University, Philippines
,
Rafal Kocielnik
University of Washington, USA

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Published: 23 April 2020

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CHI '20: CHI Conference on Human Factors in Computing Systems

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https://dl.acm.org/doi/10.1145/3654777.3676337
Zheng CYuan KGuo BHadi Mogavi RPeng ZMa SMa X(2024)Charting the Future of AI in Project-Based Learning: A Co-Design Exploration with StudentsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642807(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642807
Lee SLaw MHoffman G(2024)When and How to Use AI in the Design Process? Implications for Human-AI Design CollaborationInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2353451(1-16)Online publication date: 22-May-2024
https://doi.org/10.1080/10447318.2024.2353451
Ul Haq IPifarré M(2023)Dynamics of automatized measures of creativity: mapping the landscape to quantify creative ideationFrontiers in Education10.3389/feduc.2023.12409628Online publication date: 12-Oct-2023
https://doi.org/10.3389/feduc.2023.1240962
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Folk LFolk L(2023)Achieving SynergyThe Hidden Barriers and Enablers of Team-Based Ideation10.1007/978-3-031-16795-9_5(55-86)Online publication date: 1-Jan-2023
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