交互信息检索中神经多样性参与者的观点

IF 8.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Foundations and Trends in Information Retrieval Pub Date : 2023-07-26 DOI:10.1561/1500000086
Laurianne Sitbon, Gerd Berget, Margot Brereton
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引用次数: 0

摘要

本专著提供了工作的调查到目前为止,告知如何在信息检索系统的交互可以负担得起谁是神经多样性的用户包括。这项现有的工作定位于一系列哲学、框架和认识论,这些哲学、框架和认识论构成了在交互式信息检索(IIR)系统研究和开发的所有阶段包括神经多样性用户的重要性。该专著还提供了包括神经多样性用户在IIR研究中的例子和实用方法,并探讨了该领域未来的挑战。
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Perspectives of Neurodiverse Participants in Interactive Information Retrieval

This monograph offers a survey of work to date to inform how interactions in information retrieval systems could afford inclusion of users who are neurodiverse. This existing work is positioned within a range of philosophies, frameworks and epistemologies which frame the importance of including neurodiverse users in all stages of research and development of Interactive Information Retrieval (IIR) systems. The monograph also offers examples and practical approaches to include neurodiverse users in IIR research, and explores the challenges ahead in the field.

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来源期刊
Foundations and Trends in Information Retrieval
Foundations and Trends in Information Retrieval COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
39.10
自引率
0.00%
发文量
3
期刊介绍: The surge in research across all domains in the past decade has resulted in a plethora of new publications, causing an exponential growth in published research. Navigating through this extensive literature and staying current has become a time-consuming challenge. While electronic publishing provides instant access to more articles than ever, discerning the essential ones for a comprehensive understanding of any topic remains an issue. To tackle this, Foundations and Trends® in Information Retrieval - FnTIR - addresses the problem by publishing high-quality survey and tutorial monographs in the field. Each issue of Foundations and Trends® in Information Retrieval - FnT IR features a 50-100 page monograph authored by research leaders, covering tutorial subjects, research retrospectives, and survey papers that provide state-of-the-art reviews within the scope of the journal.
期刊最新文献
Multi-hop Question Answering User Simulation for Evaluating Information Access Systems Conversational Information Seeking Perspectives of Neurodiverse Participants in Interactive Information Retrieval Efficient and Effective Tree-based and Neural Learning to Rank
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