图书情报工作 ›› 2018, Vol. 62 ›› Issue (17): 44-52.DOI: 10.13266/j.issn.0252-3116.2018.17.006

• 工作研究 • 上一篇    下一篇

量化自我技术在图书馆应用的探讨

王巢琛, 徐跃权   

  1. 东北师范大学信息科学与技术学院 长春 130117
  • 收稿日期:2018-03-09 修回日期:2018-06-04 出版日期:2018-09-05 发布日期:2018-09-05
  • 通讯作者: 徐跃权(ORCID:0000-0001-8289-7744),教授,通讯作者,E-mail:xuyq993@nenu.edu.cn。
  • 作者简介:王巢琛(ORCID:0000-0001-6979-2083),硕士研究生。

Application of Quantitative Self Technology in the Library

Wang Chaochen, Xu Yuequan   

  1. School of Information Science and Technology, Northeast Normal University, Changchun 130117
  • Received:2018-03-09 Revised:2018-06-04 Online:2018-09-05 Published:2018-09-05

摘要: [目的/意义] 研究量化自我技术在图书馆应用的实际意义与发展模式,促使图书馆为用户提供其进行量化自我的技术环境。提升用户的个人认知水平并实现图书馆服务管理模式的拓展。[方法/过程] 通过调研国内外各个领域量化自我技术的应用现状,明确量化自我技术在图书馆领域的应用意义。在辨析量化自我与传统图书馆服务概念异同的基础上,建立基于量化自我技术的图书馆服务管理体系,明确可用于图书馆场景中的用户量化自我数据以及图书馆应用数据的领域。[结果/结论] 提出量化自我技术在图书馆应用的服务管理模式以及用户行为数据量化的关键技术。图书馆可通过用户数字足迹探寻、建立最优阅读目录等方式创建量化自我的应用体系。量化自我在图书馆的应用仍存在数据支配权的获取、数据可移植性、用户信息安全、负面影响的责任归属等问题,需要建立信任关系、依靠完善的法律来解决。

关键词: 量化自我, 图书馆, 大数据, 信息共享

Abstract: [Purpose/significance] The paper studies the practical significance and development model of self-quantified technology in library, which enables libraries to provide self-quantified technical environments to users, improve the user's personal perception, and also expand the library service and management mode. [Method/process] Through the investigation of the application status of self-quantified technology in various fields at home and abroad, it points out the significance of self-quantified technology in library field. On the basis of discriminating quantified self and traditional library service concept, it establishes a library service and management system and identifies users' self-quantified data that can be used in the library and the field of library application data. [Result/conclusion] It puts forward the service and management model of self-quantified technology in library and the key technology of quantitative users' behavioral data. Libraries can establish a self-quantified system by tracking the user's digital footprint, establishing an optimal reading directory, etc. There are still some problems to be solved in the application of quantitative self in library, including access to data, portability of data, security of users' information, and responsibility for the negative impact. It requires a trusting relationship and a well-developed law.

Key words: quantified self, library, big data, information sharing

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