Literature DB >> 16996298

An end user evaluation of query formulation and results review tools in three medical meta-search engines.

Gondy Leroy1, Jennifer Xu, Wingyan Chung, Shauna Eggers, Hsinchun Chen.   

Abstract

PURPOSE: Retrieving sufficient relevant information online is difficult for many people because they use too few keywords to search and search engines do not provide many support tools. To further complicate the search, users often ignore support tools when available. Our goal is to evaluate in a realistic setting when users use support tools and how they perceive these tools.
METHODS: We compared three medical search engines with support tools that require more or less effort from users to form a query and evaluate results. We carried out an end user study with 23 users who were asked to find information, i.e., subtopics and supporting abstracts, for a given theme. We used a balanced within-subjects design and report on the effectiveness, efficiency and usability of the support tools from the end user perspective.
CONCLUSIONS: We found significant differences in efficiency but did not find significant differences in effectiveness between the three search engines. Dynamic user support tools requiring less effort led to higher efficiency. Fewer searches were needed and more documents were found per search when both query reformulation and result review tools dynamically adjust to the user query. The query reformulation tool that provided a long list of keywords, dynamically adjusted to the user query, was used most often and led to more subtopics. As hypothesized, the dynamic result review tools were used more often and led to more subtopics than static ones. These results were corroborated by the usability questionnaires, which showed that support tools that dynamically optimize output were preferred.

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Year:  2006        PMID: 16996298     DOI: 10.1016/j.ijmedinf.2006.08.001

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  2 in total

1.  Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine.

Authors:  David A Hanauer; Danny T Y Wu; Lei Yang; Qiaozhu Mei; Katherine B Murkowski-Steffy; V G Vinod Vydiswaran; Kai Zheng
Journal:  J Biomed Inform       Date:  2017-01-25       Impact factor: 6.317

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

Authors:  Barbara Mirel; Jean Song; Jennifer Steiner Tonks; Fan Meng; Weijian Xuan; Rafiqa Ameziane
Journal:  J Am Soc Inf Sci Technol       Date:  2013-05-01
  2 in total

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