@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 = feb,
day = "25",
doi = "10.1145/3022198.3026349",
language = "English (US)",
series = "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",
booktitle = "CSCW 2017 - Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing",
note = "2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2017 ; Conference date: 25-02-2017 Through 01-03-2017",
}