Visual Information Retrieval Interfaces

研究者们对信息检索的多参考点模型的研究导致了一系列可视化信息检索接口的发展，这些接口体现了不同的方法来可视化文档之间的相似性和语义关系。这些VIRIs旨在帮助用户检索和组织在线信息。 基于可视化的布尔/集合运算（BIRD），在减少的空间中的距离测量定义的参考点（GUIDO），相对于多个参考点（VIBE）的相似性，和相似性定义的距离和角分离（DARE）已经开发。 将对这些VIRIs进行用户研究，以便：1）提高其界面的可用性，2）调查不同可视化对潜在用户群体的概念可访问性，3）评估VIRIs用于原型信息检索和组织任务的实用性。这些研究将首次系统地调查文档空间可视化对预期用户群体进行各种信息检索和组织任务的有用性。 界面功能增强VIRI的可用性，和信息可视化展示有用性，预计将增加超文本作为组织和访问在线信息的机制。

The investigators' research in multiple reference point models of information petrieval (IR) has led to the development of a collection of visual information retrieval interfaces (VIRIs) embodying different approaches to visualizing similarity and semantic relations among documents. These VIRIs are intended to aid users in retrieval and organization of online information. VIRIs based on visualization of Boolean/set operations (BIRD), distance measures in a reduced space defined by reference points (GUIDO), similarity with respect to multiple reference points (VIBE), and similarity defined jointly by distance and angular separation (DARE) have been developed. User studies will be conducted with these VIRIs in order to: 1) improve usability of their interfaces, 2) investigate conceptual accessibility of different visualizations to potential user populations, and 3) evaluate utility of the VIRIs for prototypical information retrieval and organization tasks. These studies will provide the first systematic investigation of the usefulness of document space visualizations to expected user populations for a variety of information retrieval and organization tasks. The interface features enhancing VIRI usability, and information visualizations demonstrating usefulness are expected to augment hypertext as mechanisms for organizing and accessing online information.