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作 者:张莉曼 张向先[2] 孙绍丹 Zhang Liman;Zhang Xiangxian;Sun Shaodan(School of Cyberspace and Engineering,Nanjing University of Science and Technology,Nanjing 210094;School of Business and Management,Jilin University,Changchun 130022)
机构地区:[1]南京理工大学网络空间安全学院,南京210094 [2]吉林大学商学与管理学院,长春130022
出 处:《图书情报工作》2023年第9期53-62,共10页Library and Information Service
基 金:教育部人文社会科学青年基金项目“面向决策支持的多源政民互动数据语义融合及故事化呈现研究”(项目编号:22YJC870020);中央高校基本科研业务费专项资金资助(项目编号:30922011209)研究成果之一
摘 要:[目的/意义]政民互动数据对完善社会治理有重要价值。立足于分布式认知视角,将交互叙事思想应用到政民互动数据分析方面,为高效传递政民互动数据价值提供新的视角和研究思路。[方法/过程]借鉴心理学的分布式认知理论与故事工程学的交互叙事思想,运用跨学科研究法解析政民互动数据交互叙事的认知主体、认知客体与认知环境。在此基础上,从认知客体角度提出政民互动数据交互叙事模式,从认知环境角度探究政民互动数据交互叙事的实现路径。[结果/结论]相较于传统的静态叙事,交互叙事的灵活性更强,而分布式认知理论为政民互动数据交互叙事的实现提供系统性的理论框架,对发挥政民互动数据的决策赋能价值有重要的指导意义。[Purpose/Significance]The government-citizen interaction data is of great value to improve social governance.Based on the perspective of distributed cognition,this paper applies the idea of interactive narrative to the analysis of government-citizen interaction data,and provides ideas and method guidance for the efficient transmission of the value of government-citizen interaction data.[Method/Process]Drawing on the distributed cognitive theory of psychology and the idea of interactive narrative in storytelling engineering,the interdisciplinary research method was used to analyse the cognitive subject,the cognitive object and the cognitive environment of the interactive narrative of government-citizen interaction data.On this basis,the model of government-citizen interactive narrative model was proposed from the perspective of the cognitive object,and the realization path of interactive narrative of government-citizen interaction data was explored from the perspective of the cognitive environment.[Result/Conclusion]Compared with the traditional static narrative,interactive narrative is more flexible,and the distributed cognitive theory provides a systematic theoretical framework for the realization of interactive narrative of government-citizen interactive data,which has an important guiding significance for giving play to the decision-making enabling value of government-citizen interactive data.
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