Discusses the need for a rich semantics for the user interface in interactive image retrieval and presents two methods for building such interfaces: possibility theory applied to fuzzy data retrieval, and a machine learning technique applied to learning the user's deep need. Prototypes developed using videodisks and knowledge-based software are…

Discusses general issues of computer and human understanding; contrasts three paradigms of information retrieval methodology, including statistical, deep semantic or natural language, and smart Boolean; describes CONIT, a knowledge-based intermediary retrieval assistance system; and examines system evaluation procedures, including a…

Describes a hypermedia system, HSYS, that was developed by the Idaho National Engineering Laboratory to investigate human performance in technologically complex operational settings, i.e., nuclear power plants and offshore oil platforms. Three subsystems are explained: (1) a knowledge base; (2) an embedded training module; and (3) an advisory and…

Describes the mental coding processes involved in the flow of information when the user is interacting with an enabling information-retrieval (IR) system, or a system designed to stimulate the user's grasping towards a higher understanding of the information need/problem/task that brought the user to the system. (Author/AEF)

Explores the utility of using prior domain knowledge (in the form of taxonomies over attributes, attribute values and concept classes) to constrain the rule learner's search by requiring it to be consistent with what is already known about the domain. Spreading Activation Learning (SAL) is used to efficiently learn over taxonomically structured…

Presents an interaction model and an experimental method for information retrieval. This automated method helps identify which user and system variables are relevant, which are independent of other variables, and which ranges of the variables are most important. Results show that relevance feedback consistently improves retrieval performance. (AEF)

Arguing that what sets the computer apart from all other teaching devices is its potential for interactivity, this paper examines the concept of interactivity and explores ways in which its power can be harnessed and put to work. A discussion of interactivity in human-to-human communication sets a context within which to view human/computer…

This report discusses the importance of presenting qualitative, causally consistent models in the initial stages of learning so that students can gain an understanding of basic electrical circuit concepts and principles that builds on their preexisting ways of reasoning about physical phenomena, and it argues that tutoring environments must help…

This survey of intelligent tutoring systems describes the components of these systems, different teaching scenarios, and the relation of these systems to a theory of instruction. It argues that the underlying pedagogical approach is to make latent knowledge manifest by using different forms of quantitative modeling: (1) simulating physical…

A group of American and Japanese psychologists, anthropologists, linguists, and computer scientists gathered at the University of California, San Diego, to exchange ideas on models of joint problem solving and their special relevance to the design and implementation of computer-based systems of instruction. Much of the discussion focused on…

Experts from the fields of law, business, government, and research were invited to a symposium sponsored by Dartmouth College to examine public policies which are challenged by the advent of computer technology. Eleven papers were delivered addressing such critical social issues related to computing and public policies as the man-computer…

An outline is presented for a digital computer simulation model for an information network for the State of California. The methodology of simulation is discussed initially. The problems presented by the very large size of the system, in terms of materials, users, communication connections are depicted, and solutions are suggested which permit…

Discusses the impact of research in artificial intelligence and human computer interaction on the design of bibliographic information retrieval systems, and presents design principles of a prototype system that uses semantically based searches and a knowledge base consisting of conceptual frames. (10 references) (CLB)

The Drug-Interface, prototype system built to facilitate retrieval of drug related information, automatically connects to DIALOG Information Retrieval Service via available networks, aids user in formulating and/or revising search strategy, sends query to DIALOG, displays results of search, and downloads relevant pieces into Macintosh data file.…

MINDS (Multiple Intelligent Node Document Servers) is a distributed system of knowledge-based query engines for efficiently retrieving multimedia documents in an office environment of distributed workstations. By learning document distribution patterns and user interests and preferences during system usage, it customizes document retrievals for…