Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA.
Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
Nat Hum Behav. 2021 Mar;5(3):327-336. doi: 10.1038/s41562-020-00985-7. Epub 2020 Nov 30.
The open-ended and internally driven nature of curiosity makes characterizing the information seeking that accompanies it a daunting endeavour. We use a historico-philosophical taxonomy of information seeking coupled with a knowledge network building framework to capture styles of information-seeking in 149 participants as they explore Wikipedia for over 5 hours spanning 21 days. We create knowledge networks in which nodes represent distinct concepts and edges represent the similarity between concepts. We quantify the tightness of knowledge networks using graph theoretical indices and use a generative model of network growth to explore mechanisms underlying information-seeking. Deprivation curiosity (the tendency to seek information that eliminates knowledge gaps) is associated with the creation of relatively tight networks and a relatively greater tendency to return to previously visited concepts. With this framework in hand, future research can readily quantify the information seeking associated with curiosity.
好奇心具有开放性和内在驱动性,因此描述其伴随的信息寻求行为是一项艰巨的任务。我们使用历史哲学分类法和知识网络构建框架,在 21 天的时间跨度内,跟踪 149 名参与者在浏览维基百科时的信息寻求方式,历时超过 5 小时。我们创建了知识网络,其中节点代表不同的概念,边代表概念之间的相似性。我们使用图论指标来量化知识网络的紧密程度,并使用网络增长的生成模型来探索信息寻求的潜在机制。剥夺性好奇心(即寻求消除知识差距的信息的倾向)与相对紧密的网络的创建以及相对更大的倾向返回先前访问过的概念有关。有了这个框架,未来的研究可以很容易地量化与好奇心相关的信息寻求。