Galimberti Carlo, Chirico Alice, Brivio Eleonora, Mazzoni Elvis, Riva Giuseppe, Milani Luca, Gaggioli Andrea
Department of Psychology, Catholic University of Sacred Heart, Milan, Italy.
Department of Psychology, Alma Mater Studiorum, University of Bologna, Italy.
Stud Health Technol Inform. 2015;219:33-6.
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.
本文的主要目标是提出一个研究网络心流的方法框架，网络心流是一种关于集体创造力的生物心理社会理论，并将其应用于通过计算机网络发生的创作过程。首先，我们借鉴网络心流的定义来确定该模型的关键方法要求。接下来，我们阐述一种混合方法的基本原理，该方法旨在结合对群体动态的定性、定量和结构分析，以获得丰富的纵向数据集。我们认为，这种综合策略通过将协作体验的体验特征（心流、社会临场感）与协作动态的结构特征（网络指标）以及协作成果（创意产品）联系起来，具有描述创造性协作复杂动态的潜力。最后，我们报告在混合协作环境（包括面对面和虚拟会议）中使用该方法的经验，以识别未解决的问题并提供未来的研究方向。
