Abstract
As the size of innovation communities increases, methods of supporting their creativity need to scale as well. Our research proposes the integration of three scalable techniques into a crowd ideation system: 1) data visualization, 2) structured microtask workflows, and 3) data mining, with the goal of supporting users in convergent and divergent ideation processes. In addition, these techniques do not work in isolation, but instead support each other. Our vision is to create a system that intelligently supports users' ideation in a crowd context while maintaining their agency and facilitating exploration and decision-making.
Original language | English (US) |
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Title of host publication | CSCW 2017 - Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing |
Publisher | Association for Computing Machinery, Inc |
Pages | 183-186 |
Number of pages | 4 |
ISBN (Electronic) | 9781450346887 |
DOIs | |
State | Published - Feb 25 2017 |
Event | 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2017 - Portland, United States Duration: Feb 25 2017 → Mar 1 2017 |
Other
Other | 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2017 |
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Country | United States |
City | Portland |
Period | 2/25/17 → 3/1/17 |
Keywords
- Creativity
- Crowdsourcing
- Data mining
- Data visualization
- Ideation
- Microtasks
ASJC Scopus subject areas
- Computer Networks and Communications