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: University of Maryland, College Park
• 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
• 起止时间: 1988-07-01 至 1991-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8718075&HistoricalAwards=false
• 关键词: Mental; Models; Adaptive; Search; Systemssss

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.

自适应信息系统有望通过与用户合作来管理搜索的认知负担，从而增强人类的信息搜索。 用于浏览数据库的高度交互（超文本）系统可以促进自然的、低认知负荷的搜索策略。 然而，仍然缺乏设计面向用户的数据组织或面向用户的数据库内容视图的科学基础。 这项研究旨在测试信息搜索理论的各个方面，该理论可以解释用户与机器的交互以查找信息。 特别是，通过对此类交互的实验分析，它检查了用户对用于此目的的超文本系统的心理模型的开发和应用。 该研究将为电子环境中信息搜索的新兴理论做出贡献，指导自适应信息系统的设计者，并促进人类信息搜索方法和材料的开发。