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.
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