ABSTRACT

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.

摘要

网络流量（NF）的最新模型绘制出了混合空间（物理和数字）中最佳创意协作的基础因素。NF将创造力视为一个不断发展的网络，它将组织内部和群体内部的创造力协作过程的材料和符号资源联系起来。首先，该模型认为，最佳的团队创造力的特征是最高水平的流动和社会存在体验。其次，这些经验应源于特殊的群体交流结构。因此，应该通过一种混合方法来研究团队创造力，该方法侧重于团队协作的体验和结构特征，其发展以及团队工件。在这里，我们通过社交网络分析（SNA）测量了10个群体的结构动力的演变，我们通过小组流动经验（流动状态量表）和社交状态（NMSPI）评估了小组经验。此外，四个独立的评估者通过基于领域的方法（即共识评估技术）评估了创意产品。最后，我们通过中介逻辑的定性方法加深了对最高创造者群体微观互动的分析。群体流动和社会存在正相关。经验维度和创意成果均由特定的SNA指数预测。中间逻辑的定性方法以及对大多数创意组和最少创意组的社会图的分析，提出了最佳团队创意实例的两种结构模式。具体来说，即使是少数但目的明确的互动也可以促进更高创造力水平的出现，