Cited by 61Design Education and PracticeCreativity in Education and NeuroscienceOpen Source Software Innovations

Distributed analogical idea generation: inventing with crowds

Yu, Lixiu, Kittur, Aniket, Kraut, Robert E.·2014·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Abstract

Harnessing crowds can be a powerful mechanism for increasing innovation. However, current approaches to crowd innovation rely on large numbers of contributors generating ideas independently in an unstructured way. We introduce a new approach called distributed analogical idea generation, which aims to make idea generation more effective and less reliant on chance. Drawing from the literature in cognitive science on analogy and schema induction, our approach decomposes the creative process in a structured way amenable to using crowds. In three experiments we show that distributed analogical idea generation leads to better ideas than example-based approaches, and investigate the conditions under which crowds generate good schemas and ideas. Our results have implications for improving creativity and building systems for distributed crowd innovation.

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Crossref · 10.1145/2556288.2557371

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38 of 38 references verified0 citation errors · 0 not checkable

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  • Task-specific CST design has previously shown promise for reducing conformity effects in crowdsourced divergent ideation.

    “and task-specific CST design has previously shown promise for reducing conformity effects in crowdsourced divergent ideation [89].”

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Authors
Yu, L., Kittur, A., & Kraut, R. E.
Affiliations
Carnegie Mellon University (US)
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2014-04-26
Pages
1245-1254
OpenAlex
W1994734668
Cited by
60
References
40
Citations by year
2025: 3 · 2023: 4 · 2022: 3 · 2021: 3 · 2020: 4 · 2019: 7 · 2018: 13 · 2017: 10 · 2016: 5 · 2015: 5 · 2014: 3
FWCI
17.47
Type
conference paper
Language
en
Open access
closed
Locations
CHI Conference on Human Factors in Computing Systems (publishedVersion)
Funders
National Science Foundation
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Creativity in Education and Neuroscience
  • Physical Sciences › Computer Science › Computer Science Applications › Open Source Software Innovations
Keywords
crowdsourcing, idea generation, analogy, schema induction, creativity, creative process

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