Experiments on interfaces to support query expansion

Author:

Beaulieu M.

Abstract

This paper focuses on the user and human‐computer interaction (HCI) aspects of the research based on the Okapi text retrieval system. Three experiments implementing different approaches to query expansion are described, highlighting the close relationship between the system’s functionality and different interface designs. The projects evaluated the retrieval effectiveness and usability of an automatic query expansion facility in a VT100 character‐based interface, and two different forms of interactive query expansion implemented in graphical user interface (GUI) environments with different windowing techniques. The experimental conditions, variables and constraints in undertaking operational user testing are discussed in relation to the interface features, and in terms of: the visibility of the system’s operations; the system/user control; and the cognitive load on the user. It is suggested that the quality and effectiveness of the search interaction for query expansion is dependent on resolving the tension between seemingly opposing interface and functional aspects, e.g. automatic vs interactive query expansion, explicit vs implicit use of a thesaurus, document vs query space.

Publisher

Emerald

Subject

Library and Information Sciences,Information Systems

Cited by 67 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. Entity-Based Relevance Feedback for Document Retrieval;Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval;2023-08-09

2. Taking Search to Task;Proceedings of the 2023 Conference on Human Information Interaction and Retrieval;2023-03-19

3. UFTDRDH: A novel user-oriented solution for full-text database retrieval in Chinese digital humanities;Journal of Information Science;2022-11-22

4. Investigating User Control to Mitigate Bias When Searching African Historical Data;From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries;2022

5. Task Intelligence for Search and Recommendation;Synthesis Lectures on Information Concepts, Retrieval, and Services;2021-06-09

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