The main goal of this contribution is to present a methodological framework to study Networked Flow, a bio-psycho-social theory of collective creativity applying it on creative processes occurring via a computer network. First, we draw on the definition of Networked Flow to identify the key methodological requirements of this model. Next, we present the rationale of a mixed methodology, which aims at combining qualitative, quantitative and structural analysis of group dynamics to obtain a rich longitudinal dataset. We argue that this integrated strategy holds potential for describing the complex dynamics of creative collaboration, by linking the experiential features of collaborative experience (flow, social presence), with the structural features of collaboration dynamics (network indexes) and the collaboration outcome (the creative product). Finally, we report on our experience with using this methodology in blended collaboration settings (including both face-to-face and virtual meetings), to identify open issues and provide future research directions.
Galimberti, C., Chirico, A., Brivio, E., Mazzoni, E., Riva, G., Milani, L., Gaggioli, A., Bridging Minds: A Mixed Methodology to Assess Networked Flow, <<ANNUAL REVIEW OF CYBERTHERAPY AND TELEMEDICINE>>, 2015; 219 (13): 33-36. [doi:10.3233/978-1-61499-595-1-33] [http://hdl.handle.net/10807/70083]
Bridging Minds: A Mixed Methodology to Assess Networked Flow
Galimberti, Carlo;Chirico, Alice;Brivio, Eleonora;Riva, Giuseppe;Milani, Luca;Gaggioli, Andrea
2015
Abstract
The main goal of this contribution is to present a methodological framework to study Networked Flow, a bio-psycho-social theory of collective creativity applying it on creative processes occurring via a computer network. First, we draw on the definition of Networked Flow to identify the key methodological requirements of this model. Next, we present the rationale of a mixed methodology, which aims at combining qualitative, quantitative and structural analysis of group dynamics to obtain a rich longitudinal dataset. We argue that this integrated strategy holds potential for describing the complex dynamics of creative collaboration, by linking the experiential features of collaborative experience (flow, social presence), with the structural features of collaboration dynamics (network indexes) and the collaboration outcome (the creative product). Finally, we report on our experience with using this methodology in blended collaboration settings (including both face-to-face and virtual meetings), to identify open issues and provide future research directions.File | Dimensione | Formato | |
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