了解用户在会话中对搜索收益和成本的动态感知:期望确认模型

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Ben Wang, Jiqun Liu
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引用次数: 0

摘要

了解搜索收益和成本在用户搜索决策中的作用是交互式信息检索(IIR)的一个关键课题。虽然以往的研究已经建立了基于模拟收益和成本的用户模型,但还不清楚用户对搜索收益和成本的实际感知是如何在搜索互动过程中形成和变化的。为了弥补这一不足,我们的研究采用了期望确认理论(ECT)来研究用户对收益和成本的感知。我们重新分析了之前研究的数据,研究了上下文和搜索特征如何影响用户的认知,以及他们的期望-确认状态如何影响他们的后续搜索。我们的研究结果包括(1) 用户的实际停留时间与他们的恒定期望值的吻合点可以作为评估感知收益和成本的参考点;(2) 这些感知与有用性标签、浏览行为和查询所代表的现场体验相关联;(3) 用户当前的确认状态会影响他们在后续查询中对网页有用性的感知。我们的研究结果证明了预期确认、前景理论和信息觅食理论可能产生的影响,强调了在查询层面上收益/成本、预期和停留时间之间的复杂关系,以及在会话层面上依赖于参考的预期。这些见解丰富了以人为本的红外用户建模和评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding users' dynamic perceptions of search gain and cost in sessions: An expectation confirmation model

Understanding the roles of search gain and cost in users' search decision-making is a key topic in interactive information retrieval (IIR). While previous research has developed user models based on simulated gains and costs, it is unclear how users' actual perceptions of search gains and costs form and change during search interactions. To address this gap, our study adopted expectation-confirmation theory (ECT) to investigate users' perceptions of gains and costs. We re-analyzed data from our previous study, examining how contextual and search features affect users' perceptions and how their expectation-confirmation states impact their following searches. Our findings include: (1) The point where users' actual dwell time meets their constant expectation may serve as a reference point in evaluating perceived gain and cost; (2) these perceptions are associated with in situ experience represented by usefulness labels, browsing behaviors, and queries; (3) users' current confirmation states affect their perceptions of Web page usefulness in the subsequent query. Our findings demonstrate possible effects of expectation-confirmation, prospect theory, and information foraging theory, highlighting the complex relationships among gain/cost, expectations, and dwell time at the query level, and the reference-dependent expectation at the session level. These insights enrich user modeling and evaluation in human-centered IR.

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来源期刊
CiteScore
8.30
自引率
8.60%
发文量
115
期刊介绍: The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
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