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Networked Flow in Creative Collaboration: A Mixed Method Study

机译:网络流程创造性协作:混合方法研究

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The recent model of Networked flow (NF) mapped out factors underlying optimal creative collaboration in blended spaces (physical and digital). NF conceives creativity as an evolving network bridging material and symbolic resources of the creative collaboration process at both inter and the intra-group levels. First, this model posits that optimal group creativity is characterized by highest levels of the experiences of flow and social presence. Secondly, these experiences should stem from a peculiar group communicative structure. Therefore, group creativity should be studied through a mixed-method approach focusing on experiential and structural features of group collaboration, on their evolution, and on group artifacts. Here, we measured the evolution of 10 groups' structural dynamics by means of Social Network Analysis (SNA), and we assessed group experience through group flow experience (Flow State Scale) and social presence (NMSPI). Moreover, four independent raters evaluated the creative products through a domain-based approach, that is the Consensual Assessment Technique. Finally, we deepened the analysis of the highest creative group' micro-interaction through the qualitative approach of Interlocutory Logic. Group flow and social presence were positively related. Both experiential dimensions and creative outcomes were predicted by specific SNA indexes. Qualitative approach of Interlocutory Logic and an analysis of most and least creative groups' sociograms, suggested two structural patterns underlying optimal group creativity instances. Specifically, even a few but well-aimed interactions could facilitate the emergence of higher creativity levels, which could emerge silently, with few but effective interactions, or explicitly, with several (mostly) democratic exchanges among members.
机译:最近的网络流量模型(NF)映射了混合空间中最佳创造性协作的因素(物理和数字)。 NF将创造力视为在帧内和组级别的创新协作过程的不断发展的网络桥接材料和象征性资源。首先,这种模型占据最佳群体创造力的特点是流动和社会存在经验的最高水平。其次,这些经验应源于奇特群体交际结构。因此,应通过侧重于群体协作的体验和结构特征,对其进化和集体伪影进行研究,通过混合方法方法进行组创新。在这里,我们通过社交网络分析(SNA)测量了10组结构动态的演变,我们通过组流量经验(流量国家规模)和社会存在(NMSPI)评估了组经验。此外,四个独立评估者通过基于领域的方法评估了创造性产品,即同义评估技术。最后,我们深化了通过对话逻辑的定性方法的最高创意群体微互动的分析。集团流量和社会存在呈正相关。通过特定的SNA指标预测了体验尺寸和创造性结果。对中间逻辑的定性方法以及对大多数和最少创造性的团体社会图的分析,建议了两种结构模式,潜在的最佳群体创造性。具体而言,即使是少数但令人满意的互动也可以促进产生更高的创造力水平,这可能默默地出现,很少但有效的互动,或明确地,在成员之间有几个(主要是)民主交流。

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