Model-based displays for satellite ground control

With the emergence of new technology for both human-computer interaction and knowledge-based systems, a range of opportunities exists to enhance the effectiveness and efficiency of satellite ground controllers. The use of models of operator function to represent operator activity in the context of changing system events and operator functions is illustrated. Although there are many models, the operator function model (OFM) was used in this research. In addition to representing operator activities, the OFM can be used to design 'intelligent' operator displays and, in real time, control the displayed information so that the operator has the appropriate information, at the appropriate time, and at the appropriate level of abstraction. The OFM was demonstrated in the context of a NASA Goddard Space Flight Center satellite ground control system. To evaluate the effectiveness of the model-based workstation, an experiment was conducted to compare system performance with a conventional operator workstation versus the model based workstation

Intent inferencing with a model-based operator's associate

A portion of the Operator Function Model Expert System (OFMspert) research project is described. OFMspert is an architecture for an intelligent operator's associate or assistant that can aid the human operator of a complex, dynamic system. Intelligent aiding requires both understanding and control. The understanding (i.e., intent inferencing) ability of the operator's associate is discussed. Understanding or intent inferencing requires a model of the human operator; the usefulness of an intelligent aid depends directly on the fidelity and completeness of its underlying model. The model chosen for this research is the operator function model (OFM). The OFM represents operator functions, subfunctions, tasks, and actions as a heterarchic-hierarchic network of finite state automata, where the arcs in the network are system triggering events. The OFM provides the structure for intent inferencing in that operator functions and subfunctions correspond to likely operator goals and plans. A blackboard system similar to that of Human Associative Processor (HASP) is proposed as the implementation of intent inferencing function. This system postulates operator intentions based on current system state and attempts to interpret observed operator actions in light of these hypothesized intentions

Making intelligent systems team players: Case studies and design issues. Volume 1: Human-computer interaction design

Initial results are reported from a multi-year, interdisciplinary effort to provide guidance and assistance for designers of intelligent systems and their user interfaces. The objective is to achieve more effective human-computer interaction (HCI) for systems with real time fault management capabilities. Intelligent fault management systems within the NASA were evaluated for insight into the design of systems with complex HCI. Preliminary results include: (1) a description of real time fault management in aerospace domains; (2) recommendations and examples for improving intelligent systems design and user interface design; (3) identification of issues requiring further research; and (4) recommendations for a development methodology integrating HCI design into intelligent system design

Human-computer interaction in distributed supervisory control tasks

An overview of activities concerned with the development and applications of the Operator Function Model (OFM) is presented. The OFM is a mathematical tool to represent operator interaction with predominantly automated space ground control systems. The design and assessment of an intelligent operator aid (OFMspert and Ally) is particularly discussed. The application of OFM to represent the task knowledge in the design of intelligent tutoring systems, designated OFMTutor and ITSSO (Intelligent Tutoring System for Satellite Operators), is also described. Viewgraphs from symposia presentations are compiled along with papers addressing the intent inferencing capabilities of OFMspert, the OFMTutor system, and an overview of intelligent tutoring systems and the implications for complex dynamic systems

Human Factors Considerations in System Design

Human factors considerations in systems design was examined. Human factors in automated command and control, in the efficiency of the human computer interface and system effectiveness are outlined. The following topics are discussed: human factors aspects of control room design; design of interactive systems; human computer dialogue, interaction tasks and techniques; guidelines on ergonomic aspects of control rooms and highly automated environments; system engineering for control by humans; conceptual models of information processing; information display and interaction in real time environments

Detailed occupancy prediction, occupancy-sensing control and advanced behavioural modelling within whole-building energy simulation

Cette étude a pour but de combler l'écart entre l'état actuel de la simulation énergétique dans le domaine du bâtiment (i.e. hypothèses et modèles) et la connaissance empirique sur le comportement des usagers en matière de contrôle environnemental. L'application principale issue de cette thèse est un module de simulation autonome qui vise la modélisation à haute résolution et à haute fréquence des interactions personne-milieu: de l'occupation des locaux (i.e. l'affectation individuelle d'un environnement modélisé), du contrôle basé uniquement sur la présence ou l'absence des occupants (e.g. détecteurs de mouvement), jusqu'aux modèles comportementaux plus avancés (e.g. commutation manuelle des appareils d'éclairage, l'utilisation des fenêtres ouvrantes). L'intégration du module au sein du logiciel libre ESP-r, un programme qui permet de simuler l'ensemble des interactions bâtiment-systèmes-environnement, permet d'étudier à quel point les modèles d'interactions personne-milieu, issus des études en milieu réel, peuvent influencer les besoins énergétiques d'un bâtiment donné. Certains traits comportementaux, couramment associés aux modèles de contrôle manuel des systèmes d'éclairage, caractérisent également le comportement individuel au niveau des fenêtres ouvrantes; une conclusion issue d'une étude pilote en milieu réel sur le campus de l'Université Laval (Québec). Cette constatation suggère certains traits communs pouvant décrire le comportement des usagers en matière de contrôle environnemental. Le module développé permet également d'étudier le potentiel écoénergétique de stratégies innovatrices: l'application de stratégies de contrôle reposant sur l'adaptation thermique dans un contexte de climatisation hybride, et basées sur l'opération de fenêtres ouvrantes en tant que commutateurs entre climat naturel et climat artificiel. Les résultats préliminaires suggèrent que pour les climats nordiques ou méridionaux, ces approches permettent effectivement de réduire les besoins en climatisation, mais qu'en contre partie les besoins en chauffage augmentent considérablement en raison de l'utilisation des fenêtres en périodes plus tempérées. L'intérêt de la méthode est ici mis en évidence dans sa capacité à simuler globalement l'ensemble des conséquences énergétiques de l'interaction sociale avec l'environnement bâti.This study sets out to bridge the gap between building energy simulation and empirical evidence on occupant behaviour. The major output is a self-contained simulation module that aims to control all occupant-related phenomena which can affect energy use in buildings. It provides high resolution and high frequency occupancy prediction (i.e. when occupants as individual agents occupy a modelled environment), occupant-sensing control (i.e. as driven by the mere presence of one or more occupants, such as occupancy-sensing lighting controls), as well as advanced behavioural models (i.e. active personal control, such as manual switching of lights, manual adjustments to window blinds, operable windows, personalized air-conditioning units). The module is integrated within the ESP-r free software, a whole-building energy simulation program. Simulation results clearly show that occupants-based phenomena exert a strong influence on simulated energy use, revealing a number of limitations in key assumptions in current energy simulation practice. Key behavioural traits, commonly associated to lighting behavioural patterns, also appear to be associated to personal control of operable windows, as demonstrated in a pilot field study in a Université Laval pavilion in Québec. This may suggest an abstract quality to certain behavioural concepts regarding different environmental controls. The study then focuses on the use of the developed work to investigate the energy saving potential of novel yet untried strategies: adaptive comfort control algorithms in hybrid environments, based on the use of operable windows as switching mechanisms between natural and artificial modes of environmental control. Results suggest that for both heating- and cooling-dominant climates, adaptive comfort control effectively reduces cooling requirements, yet operable window use during cooler conditions appear to increase heating requirements. The usefulness of the original method is here illustrated by providing a more complete view on energy use attributed to occupant behaviour