谷歌建议,认知负荷理论和查询扩展:网络搜索者如何感知关键词建议在谷歌

M. Parirokh, R. Fattahi, Abdolrasoul Khosravi
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引用次数: 0

摘要

Web搜索引擎为用户提供了不同的工具来改进检索。关键词建议是谷歌搜索扩展的一项新功能。然而,用户可能会发现它很难使用。本研究的目的是调查搜索者在使用谷歌推荐关键词时遇到的认知负荷(外在的、内在的和/或密切相关的)的程度和类型。在查询扩展过程中使用建议关键词的研究很少。本研究的方法有助于在这方面获得有价值的结果。设计/方法/方法:通过一种混合方法(使用问卷调查和“大声思考”技术),从伊朗马什哈德菲尔多西大学人文科学和基础科学两个广泛领域的60名研究生中收集了定量和定性数据。研究结果表明,建议的关键字和检索的页面不会给用户带来任何重大问题(或负面的认知负荷)。人文学科学生与基础科学学生在浏览建议关键词时的认知负荷也无显著差异。大多数建议的关键词和检索到的页面都能满足用户的需求,并且与用户的主要关键词有直接的关系。结论建议关键词/查询可以帮助网络搜索者更好地学习并更快地扩展他们的查询。另一方面,根据用户在本研究中对建议关键词列表的反应,设计人员可以改进搜索界面,并为优化查询提供更相关的结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Google Suggest, Cognitive Load Theory, and Query Expansion: How Web Searchers Perceive Keyword Suggests in Google
Web Search engines provide users with different facilities to improve retrieval. Keyword suggests for query expansion in Google is a new facility. However, users may find it difficult to use. The aim of this research is to investigate the extent and the types of cognitive load (Extraneous, Intrinsic, and/or Germane) that the searchers encounter in using Google suggested keywords. Little research has been reported in the area of using suggested keywords in the process of query expansion. The methodology of this research helps access to valuable results in this regard. Design/Methodology/Approach: Through a mixed approach (using a questionnaire as well as “think aloud” technique) quantitative and qualitative data were collected from 60 post-graduate students from two broad fields of Humanities and Basic Sciences at Ferdowsi University of Mashhad, Iran. FindingsFindings show that suggested keywords and retrieved pages did not make any significant problem (or negative cognitive load) for users. Also, there was no significant difference between Humanities students and Basic Science students regarding cognitive load when they were browsing the suggested keywords. Most of the suggested keywords and retrieved pages could fulfill users’ needs and had direct relationship with their primary keywords. ConclusionsSuggested keywords/queries can help Web searchers learn better and expand their queries faster. On the other hand, based on users' reactions in this research towards the list of suggested keywords, designers could improve the search interface and provide a more relevant structure for optimizing queries.
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