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Relevance thresholds: A conjunctive/disjunctive model of end-user cognition as an evaluative process.

机译:关联性阈值:最终用户认知的评估模型的结合/分离模型。

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摘要

This investigation identifies end-user cognitive heuristics that facilitate judgment and evaluation during information retrieval (IR) system interactions. The study extends previous research surrounding relevance as a key construct for representing the value end-users ascribe to items retrieved from IR systems and the perceived effectiveness of such systems. The Lens Model of user cognition serves as the foundation for design and interpretation of the study; earlier research in problem solving, decision making, and attitude formation also contribute to the model and analysis.; A self reporting instrument collected evaluative responses from 32 end-users related to 1432 retrieved items in relation to five characteristics of each item: topical, pertinence, utility, systematic, and motivational levels of relevance. The nominal nature of the data collected led to non-parametric statistical analyses that indicated that end-user evaluation of retrieved items to resolve an information problem at hand is most likely a multi-stage process. That process appears to be a cognitive progression from topic to meaning (pertinence) to functionality (use).; Each step in end-user evaluative processing engages a cognitive hierarchy of heuristics that includes consideration (of appropriate cues), differentiation (the positive or negative aspects of those cues considered), and aggregation (the combination of differentiated cue aspects needed to render an evaluative label of the item in relation to the information problem at hand). While individuals may differ in their judgments and evaluations of retrieved items, they appear to make those decisions by using consistent heuristic approaches.
机译:这项调查确定了最终用户的认知启发法,这些启发法有助于在信息检索(IR)系统交互过程中进行判断和评估。该研究扩展了围绕相关性的先前研究,将其作为代表最终用户归因于从IR系统检索到的项目的价值以及此类系统的感知有效性的关键结构。用户认知的镜头模型是研究设计和解释的基础;对问题解决,决策和态度形成的早期研究也有助于模型和分析。一种自我报告工具收集了来自32个最终用户的评估响应,这些响应涉及1432个检索到的项目,涉及每个项目的五个特征:主题的相关性,相关性,实用性,系统性和动机性。收集到的数据的名义性质导致了非参数统计分析,这些分析表明最终用户对检索到的项目进行评估以解决当前的信息问题很可能是一个多阶段的过程。该过程似乎是从主题到意义(针对性)再到功能(使用)的认知过程。最终用户评估处理的每个步骤都涉及启发式的认知层次结构,其中包括考虑(适当的线索),差异(所考虑的线索的正面或负面方面)和汇总(呈现评估所需的差异化线索方面的组合)有关手头信息问题的商品标签)。尽管个人对所取回物品的判断和评估可能有所不同,但他们似乎通过使用一致的启发式方法来做出那些决定。

著录项

  • 作者

    Greisdorf, Howard F.;

  • 作者单位

    University of North Texas.;

  • 授予单位 University of North Texas.;
  • 学科 Information Science.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 166 p.
  • 总页数 166
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息与知识传播;
  • 关键词

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