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Directed brainstorming and the Cognitive Network Model of Creativity: An empirical investigation of cognitive factors related to the formation of creative solutions using an electronic brainstorming environment

机译:定向头脑风暴和创造力的认知网络模型:对使用电子头脑风暴环境形成创造性解决方案的认知因素的实证研究

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摘要

This dissertation presents the Cognitive Network Model of Creativity. This causal model posits that creative solutions occur when new associations are formed between disparate elements from memory. The likelihood of forming new associations is a positive function of the disparity between these elements and an inverse function of the problem solver's cognitive load. Cognitive load is, in turn, a positive function of the disparity between elements and the quantity of stimuli per unit of time to which the problem solver is exposed. Cognitive load is also an inverse function of the extent to which elements may be combined. The disparity between elements is a positive function of stimuli diversity, while the extent to which elements may be combined is an inverse function of stimuli diversity. Thus, the Cognitive Network Model of creativity represents a highly plausible answer to the research question: "What is a basic cognitive mechanism responsible for producing creative solutions to a problem?" that is grounded in group support systems, cognitive psychology, problem solving, and creativity research. Sixty one four-person groups participated in one of two experimental problem solving tasks designed to evaluate the model. The solution space for each task was partitioned into five smaller domains based upon known criteria for good solutions. Four directed brainstorming prompts were derived from each domain. These twenty prompts were then arranged to create three treatment conditions with respect to stimuli diversity (low, medium, and high). In each treatment, one directed brainstorming prompt was delivered to the electronic brainstorming supported groups every two minutes; groups in the control condition received no facilitation. Initial findings consistent with the model suggest that people using directed electronic brainstorming produce higher concentrations of creative solutions than people using free brainstorming because directed brainstorming focuses the efforts of the problem solvers on specific goals while simultaneously providing ready access to discontiguous areas of memory that help problem solvers avoid bounded, familiar, and narrow thought patterns. Findings show directed brainstorming advantages for low stimuli diversity, resulting in sharply focused creative solutions, and high stimuli diversity, resulting in broadly focused creative solutions. Medium diversity facilitation bestowed no benefit.
机译:本文提出了创造力的认知网络模型。这种因果模型假定,当内存中不同元素之间形成新的关联时,就会产生创造性的解决方案。形成新关联的可能性是这些要素之间差异的正函数,是问题解决者认知负荷的反函数。认知负荷反过来是问题解决者所面对的元素之间的差异和每单位时间的刺激量的正函数。认知负荷也是元素可以组合的程度的反函数。元素之间的差异是刺激多样性的正函数,而元素可以组合的程度是刺激多样性的反函数。因此,创造力的认知网络模型代表了对以下研究问题的高度合理的答案:“什么是负责为问题提供创造性解决方案的基本认知机制?”这是基于小组支持系统,认知心理学,问题解决和创造力研究的基础。 61个四人小组参加了旨在评估模型的两个实验问题解决任务之一。根据良好解决方案的已知标准,将每个任务的解决方案空间划分为五个较小的域。来自每个域的四个定向集思广益提示。然后安排这20条提示,以针对刺激多样性(低,中和高)创建三种治疗条件。在每种治疗中,每两分钟向电子头脑风暴支持小组发送一次定向头脑风暴提示;对照条件下的各组没有得到促进。与该模型一致的初步发现表明,使用定向电子头脑风暴的人们比使用自由头脑风暴的人们产生更高浓度的创意解决方案,因为定向头脑风暴将问题解决者的精力集中在特定目标上,同时提供对有助于解决问题的不连续内存区域的现成访问。求解器避免使用有限,熟悉和狭窄的思维模式。研究结果表明,针对低刺激性多样性(导致重点突出的创意解决方案)和针对高刺激性多样性(导致重点广泛的创意解决方案)的定向脑力激荡优势。中等程度的多样性促进没有任何好处。

著录项

  • 作者

    Santanen Eric Lawrence;

  • 作者单位
  • 年度 2002
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
  • 中图分类

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