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

Victor Girotto, Erin Walker, Winslow Burleson

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationCSCW 2017 - Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery, Inc
Pages183-186
Number of pages4
ISBN (Electronic)9781450346887
DOIs
StatePublished - Feb 25 2017
Event2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2017 - Portland, United States
Duration: Feb 25 2017Mar 1 2017

Other

Other2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2017
CountryUnited States
CityPortland
Period2/25/173/1/17

Fingerprint

Data visualization
Data mining
Innovation
Decision making

Keywords

  • Creativity
  • Crowdsourcing
  • Data mining
  • Data visualization
  • Ideation
  • Microtasks

ASJC Scopus subject areas

  • Computer Networks and Communications

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 proceedingConference 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
Girotto V, Walker E, Burleson W. 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. 2017. p. 183-186 https://doi.org/10.1145/3022198.3026349
Girotto, Victor ; Walker, Erin ; Burleson, Winslow. / Scalable crowd ideation support through data visualization, mining, and structured workflows. CSCW 2017 - Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. Association for Computing Machinery, Inc, 2017. pp. 183-186
@inproceedings{819e26bb2ac741759b1f40133be25393,
title = "Scalable crowd ideation support through data visualization, mining, and structured workflows",
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.",
keywords = "Creativity, Crowdsourcing, Data mining, Data visualization, Ideation, Microtasks",
author = "Victor Girotto and Erin Walker and Winslow Burleson",
year = "2017",
month = "2",
day = "25",
doi = "10.1145/3022198.3026349",
language = "English (US)",
pages = "183--186",
booktitle = "CSCW 2017 - Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing",
publisher = "Association for Computing Machinery, Inc",

}

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 -