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移动经验取样法:促进真实情境下的用户信息行为研究 被引量:22

Mobile Experience Sampling Method: Facilitating Human Information Behavior Research in the Real Context
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摘要 移动互联时代,个人信息世界的内容与边界获得前所未有的拓展,信息行为正经历着全新的嬗变。从方法论的角度,信息行为领域的学者亟须寻求研究范式上的突破性变革,实现自顶向下涵盖思想工具和实用工具的两层转换。本文以个人信息世界理论为基础,在明确以移动思维、日常思维、情境思维、纵向思维、个体思维五大思想工具转换基础上,尝试性引入实用工具层面上的移动经验取样法(mobile Experience Sampling Method,mESM)。通过厘清该方法的源流与特征,系统梳理其严密的执行框架,探测mESM的方法革新与工具现状,及其在用户信息行为研究中的适用性,并进一步探讨其方法张力与工具黏性,以及mESM在用户行为计算方面的多源数据获取支撑能力,析出mESM的应用领域、方法价值和应用挑战问题。鉴于当前国内mESM工具较为稀缺,倡导国内用户信息行为领域的学者聚焦本土化的mESM工具开发,力求更加有效地支撑并促进移动互联环境下的用户信息行为探索。 In the era of mobile Internet,the contents and boundaries of the information worlds of individuals have experienced an unprecedented expansion.Information behavior is experiencing an evolution.From a methodological point-of-view,researchers in the field of information behavior now seek a breakthrough in the research paradigm and are attempting to realize the two-layer top-down transformation of thinking tools and practical tools.First,based on the theory of information worlds of individuals.This paper discusses the transformation of five thinking tools,namely,mobile thinking,daily thinking,context thinking,longitudinal thing,and the individual thinking tool.Second,the mobile experience sampling method(mESM)on the practical tool level is introduced.We then clarify the origin,development,and the characteristics of the method.Then,its strict execution framework is systematically analyzed,and the mESM innovations and the representative tools of mESM are explored,and its application in the study of user information behavior is discussed.Finally,we discuss the method tension,tool stickiness,the mESM’s multi-source data acquisition support capability in behavioral computing,and also the application domain,method value,and application challenge of mESM.Considering that mESM tools are scarce,we advocate that the researchers in the field of information behavior should focus on the localization of mESM tools,and strive to more effectively support and promote user information behavior exploration in mobile Internet environment.
作者 胡蓉 唐振贵 赵宇翔 朱庆华 Hu Rong;Tang Zhengui;Zhao Yuxiang;Zhu Qinghua(School of Computer&Information Science,Southwest University,Chongqing 400715;School of Information Management,Nanjing University,Nanjing 210023;School of Economics&Management,Nanjing University of Science&Technology,Nanjing 210094)
出处 《情报学报》 CSSCI CSCD 北大核心 2018年第10期1046-1059,共14页 Journal of the China Society for Scientific and Technical Information
基金 重庆市社会科学规划培育项目"复杂跨屏行为及其体验设计研究"(2016PY76) 国家社会科学基金重大项目"面向大数据的数字图书馆移动视觉搜索机制及应用研究"(15ZDB126)
关键词 移动经验取样法 用户信息行为 抽样方法 纵向研究 移动互联 mobile experience sampling method human information behavior sampling method longitudinal study mobile Internet
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