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Crowdsourcing Convergence: Aggregating Partial Clusters to Facilitate Collaborative Convergence

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Title:Crowdsourcing Convergence: Aggregating Partial Clusters to Facilitate Collaborative Convergence
Authors:Helquist, Joel
Kruse, John
Diller Ph.D., Christopher
Keywords:Design and Development of Collaboration Technologies
Collaboration Systems and Technologies
collaboration, convergence, crowdsourcing
Date Issued:08 Jan 2019
Abstract:This paper is an exploratory effort to investigate the possibility of using crowdsourcing to execute part of the collaborative convergence process. Participants were assigned with creating buckets or clusters from a random subset of the overall pool of brainstorming ideas. These sub-sorts were aggregated into a weighted graph and partitioned into discrete buckets. Analysis of this aggregated, consensus sort provides support that crowdsourcing may be a feasible option when organizing brainstorming ideas into discrete categories or buckets.
Pages/Duration:7 pages
URI:http://hdl.handle.net/10125/59492
ISBN:978-0-9981331-2-6
DOI:10.24251/HICSS.2019.064
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Design and Development of Collaboration Technologies


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