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技术推理、心理理论、创造力和流体认知在累积技术文化中的作用。

Roles of Technical Reasoning, Theory of Mind, Creativity, and Fluid Cognition in Cumulative Technological Culture.

机构信息

Laboratoire d'Etude des Mécanismes Cognitifs (EA 3082), Université de Lyon, Psychologie, 5, avenue Pierre Mendès-France, 69676, Bron Cedex, France.

Institut Universitaire de France, Paris, France.

出版信息

Hum Nat. 2019 Sep;30(3):326-340. doi: 10.1007/s12110-019-09349-1.

Abstract

Cumulative technological culture can be defined as the progressive diversification, complexification, and enhancement of technological traits through generations. An outstanding issue is to specify the cognitive bases of this phenomenon. Based on the literature, we identified four potential cognitive factors: namely, theory-of-mind, technical-reasoning, creativity, and fluid-cognitive skills. The goal of the present study was to test which of these factors-or a combination thereof-best predicted the cumulative performance in two experimental, micro-society conditions (Communication and Observation conditions; n = 100 each) differing in the nature of the interaction (verbal, visual) allowed between participants. The task was to build the highest possible tower. Participants were also assessed on the four aforementioned cognitive factors in order to predict cumulative performance (tower height) and attractiveness. Our findings indicate that technical-reasoning skills are the best predictor of cumulative performance (tower height), even if their role may be restricted to the specific technological domain. Theory-of-mind skills may have a facilitator role, particularly in the Communication condition. Creativity can also help in the generation of novel ideas, but it is not sufficient to support innovation. Finally, fluid cognition is not involved in cumulative technological culture. Taken together, these findings suggest that domain-specific knowledge (i.e., technical-reasoning skills) remains critical for explaining cumulative technological culture.

摘要

累积技术文化可以被定义为通过世代的进步、多样化、复杂化和增强技术特征。一个突出的问题是要确定这种现象的认知基础。基于文献,我们确定了四个潜在的认知因素:心理理论、技术推理、创造力和流畅的认知技能。本研究的目的是测试这些因素中的哪一个(或它们的组合)可以最好地预测两个实验性微型社会条件(沟通和观察条件;n=100 个)中累积表现,这两个条件在参与者之间允许的交互(口头、视觉)性质上有所不同。任务是建造尽可能高的塔。还评估了参与者的上述四个认知因素,以预测累积表现(塔高)和吸引力。我们的发现表明,技术推理技能是累积表现(塔高)的最佳预测因素,即使它们的作用可能仅限于特定的技术领域。心理理论技能可能具有促进作用,特别是在沟通条件下。创造力也有助于产生新的想法,但不足以支持创新。最后,流畅的认知不参与累积技术文化。总的来说,这些发现表明,特定领域的知识(即技术推理技能)对于解释累积技术文化仍然至关重要。

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