Suppr超能文献

研究PubMed在复杂问题解决领域的应用:对工具设计的启示。

Studying PubMed usages in the field for complex problem solving: Implications for tool design.

作者信息

Mirel Barbara, Song Jean, Tonks Jennifer Steiner, Meng Fan, Xuan Weijian, Ameziane Rafiqa

机构信息

School of Education, University of Michigan, Ann Arbor, Michigan 48109 734-332-8969.

Health Sciences Library, University of Michigan, Ann Arbor, Michigan 48109 734-936-1401.

出版信息

J Am Soc Inf Sci Technol. 2013 May 1;64(5):874-92. doi: 10.1002/asi.22796.

Abstract

Many recent studies on MEDLINE-based information seeking have shed light on scientists' behaviors and associated tool innovations that may improve efficiency and effectiveness. Few if any studies, however, examine scientists' problem-solving uses of PubMed in actual contexts of work and corresponding needs for better tool support. Addressing this gap, we conducted a field study of novice scientists (14 upper level undergraduate majors in molecular biology) as they engaged in a problem solving activity with PubMed in a laboratory setting. Findings reveal many common stages and patterns of information seeking across users as well as variations, especially variations in cognitive search styles. Based on findings, we suggest tool improvements that both confirm and qualify many results found in other recent studies. Our findings highlight the need to use results from context-rich studies to inform decisions in tool design about to offer improved features to users.

摘要

最近许多基于医学文献数据库(MEDLINE)的信息检索研究,揭示了科学家的行为以及相关工具创新,这些创新可能会提高效率和有效性。然而,几乎没有研究考察科学家在实际工作环境中使用医学期刊数据库(PubMed)解决问题的情况,以及他们对更好工具支持的相应需求。为了填补这一空白,我们对新手科学家(14名分子生物学专业的高年级本科生)在实验室环境中使用PubMed进行问题解决活动的情况进行了实地研究。研究结果揭示了不同用户在信息检索方面的许多共同阶段和模式,以及差异,尤其是认知搜索风格的差异。基于这些发现,我们提出了工具改进建议,这些建议既证实了近期其他研究中的许多结果,又对其进行了补充说明。我们的研究结果强调,需要利用来自丰富情境研究的结果,为工具设计决策提供信息,以便为用户提供改进的功能。

相似文献

5
The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.

本文引用的文献

5
Cross-domain neurobiology data integration and exploration.跨领域神经生物学数据的整合与探索。
BMC Genomics. 2010 Dec 1;11 Suppl 3(Suppl 3):S6. doi: 10.1186/1471-2164-11-S3-S6.
8
Understanding PubMed user search behavior through log analysis.通过日志分析了解PubMed用户的搜索行为。
Database (Oxford). 2009;2009:bap018. doi: 10.1093/database/bap018. Epub 2009 Nov 27.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验