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Mental Models for Adaptive Search Systemssss: A Theory for Information

Mental Models for Adaptive Search Systemssss: A Theory for Information
自适应搜索系统的心智模型sss:信息理论
批准号:
8718075
负责人:
Gary Marchionini
金额:
$7.07万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1988
资助国家:
美国
项目状态:
已结题
起止时间:
1988-07-01 至 1991-06-30

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中文摘要
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英文摘要
Adaptive information systems promise to augment human information seeking by cooperating with users to manage the cognitive burden of the search. Highly interactive (hypertext) systems for brows- ing databases can promote natural, low-cognitive load search strategies. Still lacking, however, is a scientific basis for designing user-oriented organizations of data or user-oriented views of database content. This research seeks to test aspects of a theory of information seeking which can explain users' interactions with machines to find information. In particular, through experimental analysis of such interactions it examines users' development and application of mental models of hypertext systems employed for that purpose. The research will contribute to an emerging theory of information seeking in electronic environments, guide designers of adaptive information systems, and facilitate the development of methods and materials for human information seeking.
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会议论文
Workshop: Data Curation: Ensuring Quality and Access to Enable New Science
SGER: Collaborative Research: Curatorial Work and Learning in Virtual Environments
III-Small: Result Space Support for Personal and Group Information Seeking Over Time
Information Seeking Support Systems (IS3) Workshop
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
新型手性NAD(P)H Models合成及生化模拟