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智媒时代科普期刊的用户需求、创新路径和应对措施 被引量:18

User demand,innovation path,and response measures of popular science journals in the era of intelligent media
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摘要 【目的】探索智媒时代适应智慧化媒体发展的科普期刊创新发展路径,为我国科普期刊转型升级提供策略,并为科普期刊从业者提供应对措施。【方法】运用案例分析、对比研究和归纳总结的方法,从智媒时代科普期刊的用户需求入手,探索科普期刊创新发展的CUBI模式。【结果】智媒时代科普期刊应以打造智能化科普平台为商业目标,以打破知识鸿沟为用户目标,在内容上致力于拟态化的立体呈现,在交互上聚焦开放化的智能交互。【结论】科普期刊应构建智能化采编和信息分发系统,一线编辑应学习新技术、形成智媒素养,运营者应打造智媒思维下的'科普期刊+'新型运营模式,相关主管部门应鼓励和支持科普期刊智媒化转型智库的建设,以满足科普期刊用户在沉浸式体验、知识碎片化、信息智能化、人机互动体验等方面的需求。 [Purposes]This paper aims to explore the innovative development path of popular science journals adapted to the development of intelligent media in the era of intelligent media,provide strategies for the transformation and upgrading of popular science journals in China,and provide countermeasures for practitioners of popular science journals.[Methods]Using the method of case analysis,comparative analysis,and comprehensive analysis,we started with the user demand of popular science journals in the era of intelligent media,and explored the CUBI mode for the innovation and development of popular science journals.[Findings]The popular science journals should aim at building an intelligent platform for science popularization,breaking the knowledge gap as the user’s goal,dedicating to mimetic three-dimensional presentation in content,and focusing on open intelligent interaction.[Conclusions]Publishers should build intelligent editorial system and information distribution system.Editors should learn newtechnologies and form intellectual media literacy.Operators should create a newoperation mode of'popular science journals+'under the thinking of intelligent media.Relevant competent authorities should encourage and support the construction of think tanks for the intelligent media transformation of popular science journals,so as to meet users’needs in terms of immersive experience,knowledge fragmentation,intelligent information,and man-machine interaction experience.
作者 赵鑫 刘娜英 ZHAO Xin;LIU Naying(School of Communication,Qufu Normal University,Rizhao 276826,China)
出处 《中国科技期刊研究》 CSSCI 北大核心 2019年第7期699-706,共8页 Chinese Journal of Scientific and Technical Periodicals
基金 曲阜师范大学2017年研究生教育质量提升计划项目(QSYY17002) 曲阜师范大学交叉学科研究项目(xskjc201906)
关键词 智能 科普期刊 用户体验 交互 媒体融合 Intelligence Popular science journal User experience Interaction Media convergence
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