Improving Collaborative Convergence through Distributed and Parallel Sorting
| Autor: | J. Kruse, Joel H. Helquist, Christopher B. R. Diller |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Theoretical computer science
Computer Networks and Communications Process (engineering) Computer science Distributed computing 05 social sciences 050301 education Ideation Computer Science Applications Brainstorming Parallel sorting sort 0501 psychology and cognitive sciences Convergence (relationship) 0503 education 050104 developmental & child psychology |
| Zdroj: | International Journal of e-Collaboration. 12:9-26 |
| ISSN: | 1548-3681 1548-3673 |
| DOI: | 10.4018/ijec.2016040102 |
| Popis: | This paper examines a convergence process of organizing ideas that are generated during collaborative idea generation activities. The method presented reduces the impact of organizing brainstorming ideas on individual participants by dividing the convergence activity into smaller, discrete tasks that can be completed individually, and in parallel, by the participants. The entire pool of brainstorming ideas is subdivided into smaller pools and each participant is then tasked with organizing one of the subsets of ideas. The results show that by dividing up the overall activity into subtasks, the subjects experienced a more favorable environment. Furthermore, the subjects were able to work through their subset of ideas and produce results that were similar to those performing the full sort of the entire pool. |
| Databáze: | OpenAIRE |
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