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Bridging Minds: A Mixed Methodology to Assess Networked Flow
Carlo Galimberti1, Alice Chirico1, Eleonora Brivio1
1Department of Psychology, Catholic University of Sacred Heart, Milan, Italy.
This study introduces a methodological framework for Networked Flow, a theory of collective creativity in computer networks. It combines qualitative, quantitative, and network analysis for rich data on creative collaboration.
Area of Science:
- Psychology
- Sociology
- Computer Science
- Creativity Studies
Background:
- Collective creativity is increasingly mediated by computer networks.
- Understanding the dynamics of online collaborative creativity is crucial.
- Existing methodologies may not fully capture the complexity of networked creative processes.
Purpose of the Study:
- To present a methodological framework for studying Networked Flow, a bio-psycho-social theory of collective creativity.
- To outline a mixed-methods approach integrating qualitative, quantitative, and structural analyses.
- To link experiential, structural, and outcome elements of collaborative creativity.
Main Methods:
- Development of a methodological framework based on the Networked Flow theory.
- Application of a mixed-methods approach combining qualitative, quantitative, and network analysis.
- Longitudinal data collection in blended collaboration settings (face-to-face and virtual).
Main Results:
- The proposed methodology enables a comprehensive study of networked creative processes.
- Integration of experiential (flow, social presence), structural (network indexes), and outcome (creative product) data.
- Identification of key dynamics in collective creativity within computer-mediated environments.
Conclusions:
- The presented methodological framework offers a robust approach to studying Networked Flow.
- This integrated strategy effectively captures the multifaceted nature of collaborative creativity.
- Further research is needed to refine and apply this methodology in diverse networked settings.
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