Scalable crowd ideation support through data visualization, mining, and structured workflows

Victor Girotto; Erin Walker; Winslow Burleson

doi:10.1145/3022198.3026349

Scalable crowd ideation support through data visualization, mining, and structured workflows

Victor Girotto, Erin Walker, Winslow Burleson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	https://doi.org/10.1145/3022198.3026349
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

Keywords

Creativity
Crowdsourcing
Data mining
Data visualization
Ideation
Microtasks

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1145/3022198.3026349

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Cite this

Girotto, V., Walker, E., & Burleson, W. (2017). Scalable crowd ideation support through data visualization, mining, and structured workflows. In CSCW 2017 - Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 183-186). Association for Computing Machinery, Inc. https://doi.org/10.1145/3022198.3026349

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

Girotto, V, Walker, E & Burleson, W 2017, Scalable crowd ideation support through data visualization, mining, and structured workflows. in CSCW 2017 - Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. Association for Computing Machinery, Inc, pp. 183-186, 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2017, Portland, United States, 2/25/17. https://doi.org/10.1145/3022198.3026349

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