scispace - formally typeset
Search or ask a question

Showing papers on "Situation awareness published in 1989"


Journal ArticleDOI
TL;DR: The purpose of the CHI '88 Workshop on Real-Time, Decision Support Computer-Human Interaction was to cover issues facing users of crucial real-time, decision support computer systems such as air traffic control computers, tactical command and control systems, and missile warning computers.
Abstract: The purpose of the CHI '88 Workshop on Real-Time, Decision Support Computer-Human Interaction was to cover issues facing users of crucial real-time, decision support computer systems such as air traffic control computers, tactical command and control systems, and missile warning computers.

6 citations


Proceedings ArticleDOI
Ken Funk1
14 Nov 1989
TL;DR: The intelligent air attack system (IAAS) is an experimental avionics system designed to enhance a combat pilot's situational awareness and assist him in managing and executing his tasks in a specific Navy mission, war-at-sea ship attack.
Abstract: A description is given of the intelligent air attack system (IAAS), an experimental avionics system designed to enhance a combat pilot's situational awareness and assist him in managing and executing his tasks in a specific Navy mission, war-at-sea ship attack. Particular attention is given to the IAAS task support subsystem (TSS), a task-oriented pilot/vehicle interface that helps the pilot complete his tasks through a collection of system agents and a hierarchy of task agents. Each system agent is an active software object that serves as a representative of some important system outside the TSS and provides an information control interface between that system and TSS components. Each task agent is an active software object whose function is to configure cockpit displays and select subsystem modes for a specific task and to monitor and assist the pilot in the execution of the task. The first complete IAAS prototype has been tested at the Naval Weapons Center by an independent evaluation team. >

3 citations


Proceedings ArticleDOI
14 Nov 1989
TL;DR: Three experimental paradigms used to study human-to-human and human- to-intelligent-machine relationships within a distributed decision-making environment are briefly described and a methodology for integrating human decision- making with cooperative expert systems is proposed.
Abstract: Three experimental paradigms used to study human-to-human and human-to-intelligent-machine relationships within a distributed decision-making environment are briefly described. Each approach focuses on different aspects of fusing multiple sources of knowledge into a coherent decision-making system. The first approach uses a computer-based team resource allocation problem to study dynamic team decision-making. The second approach uses the communication, command, and control (C3) interactive task for identifying emerging situations to study the effect of electronic media on group cohesion situation awareness and task performance. The third approach, cooperative systems methodology, proposes a methodology for integrating human decision-making with cooperative expert systems. >

1 citations


Proceedings ArticleDOI
14 Nov 1989
TL;DR: The theoretical basis and the practical architecture are presented for a distributed error monitor (DEM) in an intelligent interface, extended as necessary to provide error tolerance in a multioperator environment.
Abstract: The theoretical basis and the practical architecture are presented for a distributed error monitor (DEM) in an intelligent interface, extended as necessary to provide error tolerance in a multioperator environment. DEM will contain several knowledge-based models: a distributed intent model, an organizational model, a local and distributed task model, a consequence model, and a heuristic model of error forms. The architecture will also include two kinds of dynamic conceptual memory. Finally, an intelligent data network (DN) will communicate distributed situation awareness. >

1 citations


Book ChapterDOI
01 Jan 1989
TL;DR: Advanced cockpit technologies which may drive automation requirements in the future are described, and future performance assessment metrics for such systems are explored, and combinatorial approaches will assume greater importance.
Abstract: Advanced cockpit technologies which may drive automation requirements in the future are described, and future performance assessment metrics for such systems are explored. Two major changes in assessment methodology are discussed. The first involves a radical alteration in the direction of information flow — from the human to the system — and the second involves an increase in the need to measure complex hypothetical constructs such as situation awareness, workload, and pilot intent rather than measuring simple behavioral, subjective, or physiological states. Since traditional metrics will prove inadequate for assessing complex systems of the future, combinatorial approaches will assume greater importance, and some requirements and suggested approaches for such integrated measures are presented.