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) |
|---|---|
| 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 |
|---|---|
| Country | United States |
| City | Portland |
| Period | 2/25/17 → 3/1/17 |
Fingerprint
Keywords
- Creativity
- Crowdsourcing
- Data mining
- Data visualization
- Ideation
- Microtasks
ASJC Scopus subject areas
- Computer Networks and Communications
Cite this
Scalable crowd ideation support through data visualization, mining, and structured workflows. / Girotto, Victor; Walker, Erin; Burleson, Winslow.
CSCW 2017 - Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. Association for Computing Machinery, Inc, 2017. p. 183-186.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Scalable crowd ideation support through data visualization, mining, and structured workflows
AU - Girotto, Victor
AU - Walker, Erin
AU - Burleson, Winslow
PY - 2017/2/25
Y1 - 2017/2/25
N2 - 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.
AB - 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.
KW - Creativity
KW - Crowdsourcing
KW - Data mining
KW - Data visualization
KW - Ideation
KW - Microtasks
UR - http://www.scopus.com/inward/record.url?scp=85016064704&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85016064704&partnerID=8YFLogxK
U2 - 10.1145/3022198.3026349
DO - 10.1145/3022198.3026349
M3 - Conference contribution
SP - 183
EP - 186
BT - CSCW 2017 - Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing
PB - Association for Computing Machinery, Inc
ER -