Data Visualization as Participatory Research: A Model for Digital Collections to Inspire User-Driven Research     

A. Miller 《Journal of Web Librarianship》2019,13(2):127-155

The emerging creative practices of digital collections are increasing in prominence thanks to the access to, and appeal of, data visualizations. Interactive data visualizations, such as a map, timeline, chart, graph, or artist’s rendering of data, enable users to pursue their own research interests within a collection and participate in new areas of research. Use of these data visualizations enhances the scope of the collection and enables a modern and diverse thematic collection to emerge. This article considers the question: Does the addition of data visualizations affect how users participate with a research collection? Impacts on collection development, application of user-centered design, and analysis of users’ exploratory strategies are discussed. Examples of data visualizations used in digital humanities projects and digital collections are presented as case studies.  相似文献   

协同搜索过程中用户交流内容与模式研究     

张璐  张鹏翼  刘畅 《图书情报知识》2020,(3):51-62

[目的/意义]旨在分析协同搜索用户在信息搜索任务过程中的交流内容与模式,从而理解协同搜索用户的关注重点与搜索过程。[研究设计/方法]基于书籍交互检索平台(CLEF-Social Book Search)设计实验,共招募18名被试完成两种搜索任务,通过录音记录对话并对其进行编码和分析,总结交流内容特征和模式。结合任务类型、认知类型组合、服务器记录的搜索交互行为日志以及问卷收集的搜索体验进行了探索分析。[结论/发现]从交流内容上看,协同搜索用户主要理解与评判书目信息、商讨搜索任务计划;比起认知类型不同的用户,相同认知类型的用户在操作交互方面交流更多,在评判决策方面交流较少。交流模式依据讨论内容比重可分为理解评判型、评判主导型、均衡交流型三种,评判主导型用户的任务完成满意度最高。[创新/价值]协同搜索用户的交流反映出搜索过程中需要与同伴商讨协同的焦点,也是需要系统提供协助的重点,给协同搜索系统设计提供一定参考。本研究针对协同搜索的交流内容设计的编码系统对相关的协同交流研究也有借鉴意义。  相似文献   

Beyond traditional collaborative search: Understanding the effect of awareness on multi-level collaborative information retrieval     

Nyi Nyi Htun  Martin Halvey  Lynne Baillie 《Information processing & management》2018,54(1):60-87

Although there has been a great deal of research into Collaborative Information Retrieval (CIR) and Collaborative Information Seeking (CIS), the majority has assumed that team members have the same level of unrestricted access to underlying information. However, observations from different domains (e.g. healthcare, business, etc.) have suggested that collaboration sometimes involves people with differing levels of access to underlying information. This type of scenario has been referred to as Multi-Level Collaborative Information Retrieval (MLCIR). To the best of our knowledge, no studies have been conducted to investigate the effect of awareness, an existing CIR/CIS concept, on MLCIR. To address this gap in current knowledge, we conducted two separate user studies using a total of 5 different collaborative search interfaces and 3 information access scenarios. A number of Information Retrieval (IR), CIS and CIR evaluation metrics, as well as questionnaires were used to compare the interfaces. Design interviews were also conducted after evaluations to obtain qualitative feedback from participants. Results suggested that query properties such as time spent on query, query popularity and query effectiveness could allow users to obtain information about team's search performance and implicitly suggest better queries without disclosing sensitive data. Besides, having access to a history of intersecting viewed, relevant and bookmarked documents could provide similar positive effect as query properties. Also, it was found that being able to easily identify different team members and their actions is important for users in MLCIR. Based on our findings, we provide important design recommendations to help develop new CIR and MLCIR interfaces.  相似文献   

A Corpus-Based Learning Method of Compound Noun Indexing Rules for Korean     

Jee-Hyub Kim  Byung-Kwan Kwak  Seungwoo Lee  Geunbae Lee  Jong-Hyeok Lee 《Information Retrieval》2001,4(2):115-132

In Korean information retrieval, compound nouns play an important role in improving precision in search experiments. There are two major approaches to compound noun indexing in Korean: statistical and linguistic. Each method, however, has its own shortcomings, such as limitations when indexing diverse types of compound nouns, over-generation of compound nouns, and data sparseness in training. In this paper, we propose a corpus-based learning method, which can index diverse types of compound nouns using rules automatically extracted from a large corpus. The automatic learning method is more portable and requires less human effort, although it exhibits a performance level similar to the manual-linguistic approach. We also present a new filtering method to solve the problems of compound noun over-generation and data sparseness.  相似文献   

Measuring Search Engine Quality   总被引：12，自引：3，他引：9  

David Hawking  Nick Craswell  Peter Bailey  Kathleen Griffihs 《Information Retrieval》2001,4(1):33-59

The effectiveness of twenty public search engines is evaluated using TREC-inspired methods and a set of 54 queries taken from real Web search logs. The World Wide Web is taken as the test collection and a combination of crawler and text retrieval system is evaluated. The engines are compared on a range of measures derivable from binary relevance judgments of the first seven live results returned. Statistical testing reveals a significant difference between engines and high intercorrelations between measures. Surprisingly, given the dynamic nature of the Web and the time elapsed, there is also a high correlation between results of this study and a previous study by Gordon and Pathak. For nearly all engines, there is a gradual decline in precision at increasing cutoff after some initial fluctuation. Performance of the engines as a group is found to be inferior to the group of participants in the TREC-8 Large Web task, although the best engines approach the median of those systems. Shortcomings of current Web search evaluation methodology are identified and recommendations are made for future improvements. In particular, the present study and its predecessors deal with queries which are assumed to derive from a need to find a selection of documents relevant to a topic. By contrast, real Web search reflects a range of other information need types which require different judging and different measures.  相似文献   

对散手推广普及若干因素的思考   总被引：13，自引：1，他引：12  

刘劲松 《武汉体育学院学报》2001,35(5):113-114

散手的普及推广应致力于发掘其民族特性,其当务之急是提高观赏性.因此必须注重规则的完善.  相似文献   

跨语言综合搜索引擎设计   总被引：14，自引：1，他引：13  

黄国才 《现代图书情报技术》2001,17(4):31-33

分析了当前网络上信息分布的特点, 对目前相关的技术进行评价。在此基础上, 设计了一个解决网络搜索过程中语言障碍的系统——跨语言综合搜索引擎。  相似文献   

内部、外部视觉表象和动觉表象对运动成绩的影响     

宋修娟  何菊花 《湖北体育科技》2004,23(3):325-326

章对内、外部视觉表象和动觉表象的定义进行了阐述；就内、外部视觉表象和动觉表象对运动成绩的影响，以及对这种影响的解释等进行了综合分析；讨论了现有研究存在的问题，并指出了今后该类研究的方向。  相似文献   

内隐学习研究的现状及问题     

叶国萍 《贵阳金筑大学学报》2004,(4):59-62

内隐学习是一个新兴的研究领域。Reber首先提出内隐学习概念，近年来对内隐学习又有了新的界定。内隐学习有五个特性：自动性、抽象性、理解性、抗干扰性、三高特征。内隐学习的研究方法包括：人工语法、视空概念、概率学习、序列反应时任务。近年来对内隐学习的潜在机制有了很多全新研究成果。  相似文献   

搜索引擎简析     

李斌  徐蓉艳 《扬州教育学院学报》2006,24(3):75-78

在介绍搜索引擎定义和主要技术基础上,阐述了搜索引擎的分类和主要工作原理,并对其发展趋势做了简单预测。  相似文献