摘要
移动图书馆信息接受正经历着以用户为中心向以场景为中心的转变。在此情形下,移动图书馆如何根据现有场景和情境的丰富程度以及不同维度情境要素在场景中嵌入的方式和程度进行信息接受的场景构建,从而将场景化应用落地为移动图书馆服务是当今图书馆需要解决的实际问题。为此,以技术接受模型的感知有用性和感知易用性为逻辑起点,运用七问分析法结合任务技术适配理论构建移动图书馆应用场景,并基于用户体验的愉悦度进行场景化信息接受情境配置的生态性、绿色性和智慧性迭代。结果表明,在移动图书馆场景化构建中,应突出场景的过程属性和功能属性,并将两类属性关联形成信息接受的痛点,通过对场景构建的演进迭代,使场景的体验属性、服务属性和用户属性更为明确,为移动图书馆场景化服务创新的落地应用提供借鉴和指导。图2。表2。参考文献29。
Mobile library information acceptance is experiencing a change from user-centered to scenecentered.In this case,how to construct a scenario of information acceptance in mobile libraries according to the richness of existing scenarios and contexts and the way and degree of embedding different dimensions of contextual elements in the scenarios,so as to place the scenario application in the service of mobile libraries,is a practical problem to be solved in today’s libraries.For this reason,based on the perceived usefulness and perceived ease of use of technology acceptance model as the logical starting point,the application scenario of mobile library is constructed by using seven-question analysis method combined with task technology adaptation theory,and the ecological,green and intelligent iteration of scenario configuration of information acceptance is carried out based on the pleasure degree of user experience.The results show that in the scenario construction of mobile libraries,the process and function attributes of scenarios should be highlighted,and the two attributes should be correlated to form pain points for information reception.Through the evolution iteration of scenario construction,the experience attributes,service attributes and user attributes of scenarios should be clearer,so as to provide reference and guidance for innovative application in the scenario construction of mobile libraries.2 figs.2 tabs.29 refs.
作者
王福
于海涛
Wang Fu;Yu Haitao
出处
《国家图书馆学刊》
CSSCI
北大核心
2019年第6期90-98,113,共10页
Journal of The National Library of China
基金
内蒙古社会科学规划项目“媒体融合视角下的移动图书馆用户信息行为特征及其规律研究”(项目编号:2017NDB073)的研究成果之一.
关键词
移动图书馆
场景化信息接受
场景构建
场景挖掘
场景迭代
Mobile Library
Scenario Information Acceptance
Scene Design
Scene Mining
Scene Iteration
