While the influence of presentation formats have been widely studied in Bayesian reasoning tasks, we present the first systematic investigation of how presentation formats influence information search decisions. Four experiments were conducted across different probabilistic environments, where subjects (N = 2,858) chose between 2 possible search…

Coreference resolution (CR) and entity relation detection (ERD) aim at finding predefined relations between pairs of entities in text. CR focuses on resolving identity relations while ERD focuses on detecting non-identity relations. Both CR and ERD are important as they can potentially improve other natural language processing (NLP) related tasks…

This dissertation explores the use of geometric and graphical models for a variety of information search and filtering applications. These models serve to provide an intuitive understanding of the problem domains and as well as computational efficiencies to our solution approaches. We begin by considering a search and rescue scenario where both…

Purpose: The purpose of this paper is to make a scientific contribution to web information retrieval (IR). Design/methodology/approach: A multiagent system for web IR is proposed based on new technologies: Hierarchical Small-Worlds (HSW) and Possibilistic Networks (PN). This system is based on a possibilistic qualitative approach which extends the…

When examined across studies and fields, navigation research is fragmented and inconsistent. In this article, we argue that this is the result of navigation research having generally been conducted without guidance from an overarching theoretical framework. In order to illustrate our position, we have included results from a very simple…

Discusses how imprecision and uncertainty are dealt with in the UFO (Uncertainty and Fuzziness in an Object-oriented) database model. Such information is expressed by means of possibility distributions, and modeled by means of the proposed concept of "role objects." The role objects model uncertain, tentative information about objects,…

More recent motivational research focuses on the identification of effective techniques for enhancing instructional design and meeting the needs of diverse student populations (Wlodkowski R. J., 1981). Learning-motivation researchers are applying some of the same theories and concepts found to be effective in industry to the development of…

In systems that support query-based searching, the presence of multilingual content affects the search technology and user interface components that support query formulation, document selection, and query refinement. A categorization-based selection model is described that is based on rapidly constructed word-by-word gloss translations. An…

Presents a framework for modeling the content of information objects such as documents and video programs based on observation of how users interact with those objects in the course of information seeking and use. Identifies four categories of potentially observable user behaviors: examination, retention, reference, and annotation. (AEF)

Introduces an evaluative framework for metasearch engine performance and illustrates its use in two experiments. Results are used to characterize some properties of leading search engines (as of 1998). Significant interactions were observed between search engine and two other factors: time of day and Web domain. (Author/AEF)

Two studies of the cognitive processes involved in online document-based information retrieval were conducted. These studies led to the development of five computational models of online document retrieval which were incorporated into the design of an "intelligent" document-based retrieval system. Both the system and the broader implications of…

The purpose of this study was to organize menu items based on a user-process model and implement a new version of current software for enhancing usability of interfaces. A user-process model was developed, drawn from actual users' understanding of their goals and strategies to solve their information needs by using Dervin's Sense-Making Theory…

Describes the design and development of a prototype expert system called ONLINE-EXPERT that helps users select online databases and vendors that meet users' needs. Search strategies are discussed; knowledge acquisition and knowledge bases are described; and the Analytic Hierarchy Process (AHP), a decision analysis technique that ranks databases,…

Describes a study of users' document selection behavior that was conducted to build a tentative cognitive model of document selection behavior to be used in designing intelligent information retrieval systems. Topics addressed include studies of relevance and of decision making; value judgments; and document information elements considered during…

Proposes a useful concept of relevance as a relationship and an effect on the movement of a user through the iterative stages of their information seeking process, and that users' relevance judgments can be plotted on a Three-Dimensional Spatial Model of Relevance Level, Degree and Time. Discusses implications for the development of information…