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论文编号：	12363
作者编号：	2120192914
上传时间：	2021/6/9 16:22:05
中文题目：	面向科研生命周期的用户与知识服务平台交互行为研究——以中国知网为例
英文题目：	Research on User Interaction Behavior of Knowledge Service Platform in the Research Life Cycle: A Case Study on CNKI
指导老师：	李颖
中文关键字：	知识服务；科研生命周期；用户交互行为；中国知网；有意义学习理论
英文关键字：	knowledge services; research life cycle; user interaction behavior; CNKI; Meaningful Learning Theory
中文摘要：	随着信息时代的高速发展，数字化知识资源实现了快速普及。为便捷科研工作 者整理获取庞杂的信息资源而出现的各类知识服务平台也如雨后春笋般涌现。面向 科研生命周期不同阶段的用户会产生不同的知识需求，使得用户与知识服务平台的 交互行为与模式也有所不同。由于知识服务平台发展速度快、发展模式不成熟等原 因，提升用户与知识服务平台的交互体验，保障用户的知识需求得到更好的满足也 引发了学界的广泛关注。现有研究对于理解科研用户在不同阶段的知识需求少有涉 猎，把握科研用户与知识服务平台交互过程主要特点的相关研究还有待丰富。 本研究在梳理知识服务、科研生命周期、用户交互行为、有意义学习理论等相 关研究的基础上，关注用户在科研生命周期全过程的知识需求，采用访谈法和实验 法，以中国知网（CNKI）为知识服务平台的代表，将其作为实验系统，结合出声思 考、问卷调查等多种形式，利用编码对访谈和实验中采集的数据进行深入挖掘，分 析科研生命周期不同阶段的用户交互行为，分析用户交互过程的特点，丰富知识服 务平台交互机制的相关理论研究，为知识服务平台的交互性评估与设计提供支持。 本研究得出的以下结论：（ 1）将科研生命周期划分为选题构思、项目申请、研 究实施、成果发表四个阶段，每个阶段对应了用户不同的知识需求共 13 种，不同阶 段的用户知识需求强度有所不同，在选题构思阶段和项目申请阶段的用户知识需求 相较于其他阶段更强。（2）面向科研生命周期不同阶段的用户与知识服务平台的交 互过程涉及问题确立、策略制定实施与调整、解答表述三个阶段，具体包括 14 个关 键交互行为，交互呈现整体线性、阶段内部和阶段之间反复调整的特点。（3）处于 “选题构思阶段”与“项目申请阶段”的科研用户在知识服务产品的选用、策略的 实施与调整、获取资源的行为模式、交互结果与绩效四个方面呈现出不同特征。 本研究的创新之处在于将科研生命周期的分析框架引入用户与知识服务的交 互研究，构建了面向科研生命周期的用户与知识服务平台交互行为模式，为知识服 务平台的发展提出优化建议，为面向科研生命周期的用户提供实践参考。
英文摘要：	As the information age rapidly evolves, digital knowledge resources have been accessible to all. Various knowledge service platforms have emerged to help researchers acquire and organize large amounts of complex information. Users at different stages of the research life cycle have different demands for knowledge, which makes the behaviors and models of interaction between users and knowledge service platforms different. Since knowledge service platforms develop rapidly without a mature development model, there is widespread concern in academia as to how to improve users’ experience of interaction with knowledge service platforms and better meet their demands for knowledge. However, few studies have looked into users’ needs at different stages of research, and more research is needed to grasp the main characteristics of interaction between users and knowledge service platforms. This study reviews literature on knowledge services, research life cycle, users’ behavior in interaction, the Meaningful Learning Theory, etc. It focuses on users' demands for knowledge throughout the life cycle of research, and adopts methods of interviews and experiments. The author uses China National Knowledge Infrastructure (CNKI) as an example of knowledge service platforms, gathers data through questionnaires and thinkaloud protocols, and codes data collected in interviews and experiments. The author goes on to analyze users’ interaction behaviors at different stages of the research life cycle, as well as the characteristics of user interaction, to enrich theoretical research on the interaction mechanism of knowledge service platforms, and provide the platforms with support for interactivity evaluation and design. Three conclusions are reached in this study. First, the life cycle of research can be divided into four stages: topic selection, project application, implementation and publication. There are in total 13 needs for knowledge, and each stage corresponds to different needs. The intensity of users' needs vary in different stages: in the topic selection and project application stages, such needs are stronger than in other stages. Second, three phases are involved in the interaction between users at different stages of the research life cycle and knowledge service platforms: settling questions, forming, implementing and adjusting strategies, as well as articulating answers. Fourteen key interaction behaviors are included in this process, and the interaction is generally linear yet repeatedly adjusted within and between the phases. Third, users in the stages of topic selection and project application show different characteristics in the following four aspects: knowledge service product selection, strategy implementation and adjustment, behavior patterns of accessing resources, as well as interaction results and performance. Based on the conclusions, the innovation of this paper is to introduce the analysis framework of the research life cycle into the research on interaction between users and knowledge service platforms, and constructs a behavioral model of interaction between users in the research life cycle and knowledge service platforms, and proposes suggestions for optimizing knowledge service platforms, so as to provide practical references for users in the research life cycle.
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