How is a search system used in work task completion?

Author:

Toms Elaine G.1,Villa Robert1,McCay-Peet Lori2

Affiliation:

1. Information School, University of Sheffield, UK

2. Faculty of Management, Dalhousie University, Canada

Abstract

Typically studies of information retrieval and interactive information retrieval concentrate on the identification of relevant items. In this study, rather than stop at finding relevant items, we considered how people use a search system in the completion of a broader work task. To conduct the study, we created 12 tasks that required multiple queries and document views in order to find enough information to complete the task. A total of 381 people completed three tasks each in a laboratory setting using the wikiSearch system that was embedded into WiIRE. Results found that two-thirds of time spent on the task was spent after finding a relevant set of documents sufficient for task completion, and that time was mainly spent reviewing documents that had already been retrieved. Findings suggest that an open-source information retrieval system, such as Lucene, was adequate for this task. However, the ultimate challenge will be in building useful systems that aid the user in extracting, interpreting and analysing information to achieve work task completion.

Publisher

SAGE Publications

Subject

Library and Information Sciences,Information Systems

Reference22 articles.

1. Information seeking in the context of writing

2. Conceptual framework for tasks in information studies

3. Cleverdon C. Report on the testing and analysis of an investigation into the comparative efficiency of indexing systems. Cranfield: Cranfield College of Aeronautics 1962.

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Recommending tasks based on search queries and missions;Natural Language Engineering;2023-05-17

2. Assessing Realism in Simulated Work Tasks;ACM SIGIR Conference on Human Information Interaction and Retrieval;2022-03-14

3. Information flows – Or does it? The complexity of enterprise information management;Business Information Review;2020-08-24

4. The Usefulness of Search Results;Proceedings of the 2020 Conference on Human Information Interaction and Retrieval;2020-03-14

5. A Semantic Search Approach to Task-Completion Engines;The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval;2018-06-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3