Perceptual speed, learning and information retrieval performance

Perceptual speed, learning and information retrieval performance
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感知速度、学习和信息检索性能

DOI:
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发表时间:
1994
期刊:
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
影响因子:
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通讯作者:
B. Allen
B. Allen
中科院分区:
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文献类型:
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作者:
B. Allen

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虽然认知能力“感知速度”已知会影响终端用户的搜索性能,但之前的研究还没有确定这种影响发生的机制。教育心理学的结果表明,在搜索过程中进行的学习可能会受到知觉速度的影响。一项实验旨在测试这种认知能力将如何与旨在增强搜索词汇学习的系统功能相互作用,具体地说,将主题描述符作为参考显示的第一元素。结果表明,知觉速度和数据元素的呈现顺序在预测词汇学习和搜索性能方面存在显著的交互作用。这些结果表明,当搜索者使用旨在优化主题描述符扫描的系统时,感知速度较快的搜索者将学习额外的搜索词汇,并使用这些词汇完成更高质量的搜索。这一结果支持认知能力影响信息系统可用性的观点,并且可用性是由用户特征和系统特征之间的交互作用决定的。研究结果还表明,增强搜索词汇学习的系统功能,如查询扩展机制,可以对最终用户的搜索质量产生显著的积极影响。
Although the cognitive ability “perceptual speed” is known to influence search performance by end-users, previous research has not established the mechanism by which this influence occurred. Results from educational psychology suggest that learning that occurs during searching is likely to be influenced by perceptual speed. An experiment was designed to test how this cognitive ability would interact with a system feature designed to enhance learning of search vocabulary, specifically, presenting subject descriptors as the first element in the display of a reference. Results showed significant interactions between perceptual speed and the order of presentation of data elements in predicting both vocabulary learning and search performance. These results indicate that searchers with higher levels of perceptual speed will learn additional search vocabulary, and use that vocabulary to complete higher quality searches, when they use a system designed to optimize scanning of subject descriptors. This outcome supports the idea that cognitive abilities influence information system usability, and that usability is determined by interactions between characteristics of users and system features. The findings also suggest that system features that enhance the learning of search vocabulary, such as query expansion mechanisms, can have a significant positive effect on the quality of end-user searching.