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基于生活信息学模型的个人健康信息管理研究
引用本文:邓胜利,夏苏迪,韦佳岑.基于生活信息学模型的个人健康信息管理研究[J].情报资料工作,2021(2):23-30.
作者姓名:邓胜利  夏苏迪  韦佳岑
作者单位:武汉大学信息管理学院
基金项目:国家自然科学基金项目"信息生态链视角下在线知识社区用户贡献行为评价及预测研究"(批准号:71974149)的研究成果之一。
摘    要:目的/意义]以预防为核心的健康理念成为健康中国战略的主旋律,而以互联网为依托的自我跟踪技术在改善公民健康状况上存在巨大潜力。方法/过程]本文基于生活信息学模型,结合问卷调查和访谈,对非医疗情境下用户在决定、选择、跟踪和失效四个阶段的健康信息管理实践进行调查,探究用户的行为模式和需求状况。结果/结论]本文认为用户应当提升个人健康信息素养水平、培养参与健康活动的习惯,并充分享受个人健康信息管理的娱乐性和社交性,并针对自我跟踪技术提出了若干功能性和非功能性的优化策略研究结果有助于改进运动健康APP的设计,并指导个人在生活中开展健康信息管理活动。

关 键 词:生活信息学模型  个人健康信息管理  运动健康APP  量化自我  自我跟踪技术

An Analysis of Personal Health Information Management Based on Life Information Science Model
Deng Shengli,Xia Sudi,Wei Jiacen.An Analysis of Personal Health Information Management Based on Life Information Science Model[J].Information and Documentation Services,2021(2):23-30.
Authors:Deng Shengli  Xia Sudi  Wei Jiacen
Institution:(School of Information Management,Wuhan University,Hubei,430072)
Abstract:Purpose/significance]Prevention-centered health philosophy has become the main theme of the Healthy China Strategy,and the self-tracking technology based on the Internet has great potential to improve the health of citizens.Method/process]Based on the lived informatics model,this paper combined questionnaire surveys and interviews to investigate the practice of users'health information management in the four stages of decision,selection,track-ing,and invalidation in non-medical situations.Meanwhile,this paper explored demand and patterns of personal health information management.Result/conclusion]This article argues that users should improve their personal health information literacy level,cultivate the habit of participating in health activities and fully enjoy the entertainment and sociality of personal health information management.Several functional and non-functional optimizations for self-tracking technology strategy are also proposed.The findings contribute to improve the design of sports health apps and guide individuals to carry out health information management activities in their lives.
Keywords:lived informatics model personal health information management  sports health app  quantified self  self-tracking technology
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