指标重要吗?

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI:10.1145/3295750.3298973

Jacqueline Sachse

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引用次数: 15

摘要

科学搜索引擎通过引用数等科学质量指标丰富结果列表，以增强用户体验，提高性能。本论文项目旨在研究搜索结果页面中影响力指标的整合对相关性评估的影响，同时考虑传统的基于引用的度量和替代度量。用户行为分析结合了眼动追踪和有声思考以及问卷调查。本文描述了一项实验研究的方法，旨在回答这样一个问题:指标的可见性是否会改变科学文献检索中的行为，以及行为是否会因指标的类型而变化，特别是引用率和替代指标得分。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Do Metrics Matter?

Scientific search engines enrich result lists with indicators of scientific quality, such as citation counts, in order to enhance user experience and improve performance. This dissertation project aims to study the effect of such integration of impact indicators in search result pages on relevance evaluation, considering both traditional citation-based and altmetric measures. The user behavior is analyzed with a combination of eye-tracking and think-aloud as well as a questionnaire. This paper describes the methodology of an experimental study designed to answer the question if the visibility of metrics alters the behavior during scientific literature search and if behavior varies depending on the kind of metric, specifically citation rate and altmetric score.

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Proceedings of the 2019 Conference on Human Information Interaction and Retrieval

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