Perspektiven zur Kombination von automatischem Animationsdesign und planbasierter Hilfe

Aktuelle Themen auf dem Gebiet der intelligenten Benutzerschnittstellen behandeln derzeit die automatische Planung multimodaler Präsentationen. Hierbei stand bisher im wesentlichen die koordinierte Generierung von Text und Graphik im Vordergrund. In Zukunft wird hier aufgrund der Komplexität der zu präsentierenden Information zunehmend auch die Einbeziehung realistischer animierter 3D-Graphiken gefordert sein. Einen anderen wichtigen Forschungsschwerpunkt bildet der Einsatz graphischer Ausgabekomponenten für planbasierte Hilfesysteme. Die vorliegende Arbeit hat zum Ziel zunächst einen Überblick über den derzeitigen Stand der Forschung in diesen beiden Bereichen zu geben, als auch neue Anforderungen an die automatische Animationsgenerierung und an Systeme zur planbasierten graphischen Hilfe zu formulieren. Anschließend wollen wir, basierend auf Ergebnissen und Erfahrungen aus WIP und PLUS, Perspektiven für eine mögliche Weiterentwicklung und Integration von Techniken der Animationsplanung und graphischen Hilfe präsentieren

Perspektiven zur Kombination von automatischem Animationsdesign und planbasierter Hilfe

Aktuelle Themen auf dem Gebiet der intelligenten Benutzerschnittstellen behandeln derzeit die automatische Planung multimodaler Präsentationen. Hierbei stand bisher im wesentlichen die koordinierte Generierung von Text und Graphik im Vordergrund. In Zukunft wird hier aufgrund der Komplexität der zu präsentierenden Information zunehmend auch die Einbeziehung realistischer animierter 3D-Graphiken gefordert sein. Einen anderen wichtigen Forschungsschwerpunkt bildet der Einsatz graphischer Ausgabekomponenten für planbasierte Hilfesysteme. Die vorliegende Arbeit hat zum Ziel zunächst einen Überblick über den derzeitigen Stand der Forschung in diesen beiden Bereichen zu geben, als auch neue Anforderungen an die automatische Animationsgenerierung und an Systeme zur planbasierten graphischen Hilfe zu formulieren. Anschließend wollen wir, basierend auf Ergebnissen und Erfahrungen aus WIP und PLUS, Perspektiven für eine mögliche Weiterentwicklung und Integration von Techniken der Animationsplanung und graphischen Hilfe präsentieren

Planbasierte graphische Hilfe in objektorientierten Benutzungsoberflächen

Wir stellen das System PLUS vor, ein planbasiertes graphisches Hilfesystem für Applikationen mit einer objektorientierten Benutzerschnittstelle. Es werden die Hilfekomponente InCome+, die Animationskomponente und der graphik-orientierte Planeditor PlanEdit+ beschrieben. PlanEdit+ ermöglicht den interaktiven Aufbau der hierarchischen Planbasis, die die Grundlage für den Planerkennungsprozeß bildet.Eine zentrale Komponente der graphischen Hilfe in unserem System stellt das Modul InCome+ dar, das den Interaktionskontext des Benutzers visualisiert und darüberhinaus weitere Features wie semantische Undo- und Redo-Möglichkeiten und einen kontext-sensitiven Tutor zur Verfügung stellt. Als wesentliche Erweiterung der graphischen Benutzerunterstützung wird innerhalb von PLUS die Präsentation animierter Hilfe integriert. Es werden Benutzeraktionen simuliert, indem eine Animation über die aktuelle Benutzerschnittstelle gelagert wird. Die Animationssequenz wird im Kontext der aktuell vom Benutzer verfolgten Aufgabe generiert

PIM : planning in manufacturing using skeletal plans and features

In order to create a production plan from product model data, a human expert thinks in a special terminology with respect to the given work piece and its production plan: He recognizes certain features and associates fragments of a production plan. By combining these skeletal plans he generates the complete production plan. We present a set of representation formalisms suitable for the modelling of this approach. When an expert\u27s knowledge has been represented using these formalisms, the generation of a production plan can be achieved by a sequence of abstraction, selection and refinement. This is demonstrated in the CAPP-system PIM, which is currently developed as a prototype. The close modelling of the knowledge of the concrete expert (or the accumulated know-how of a concrete factory) facilitate the development of planning systems which are especially tailored to the concrete manufacturing environment and optimally use the expert\u27s knowledge and should also lead to improved acceptance of the system

Combining terminological and rule-based reasoning for abstraction processes

Terminological reasoning systems directly support the abstraction mechanisms generalization and classification. But they do not bother about aggregation and have some problems with reasoning demands such as concrete domains, sequences of finite but unbounded size and derived attributes. The paper demonstrates the relevance of these issues in an analysis of a mechanical engineering application and suggests an integration of a forward-chaining rule system with a terminological logic as a solution to these problems

Knowledge acquisition from text in a complex domain

Complex real world domains can be characterized by a large amount of data, their interactions and that the knowledge must often be related to concrete problems. Therefore, the available descriptions of real world domains do not easily lend themselves to an adequate representation. The knowledge which is relevant for solving a given problem must be extracted from such descriptions with the help of the knowledge acquisition process. Such a process must adequately relate the acquired knowledge to the given problem. An integrated knowledge acquisition framework is developed to relate the acquired knowledge to real world problems. The interactive knowledge acquisition tool COKAM+ is one of three acquisition tools within this integrated framework. It extracts the knowledge from text, provides a documentation of the knowledge and structures it with respect to problems. All these preparations can serve to represent the obtained knowledge adequately

PHI : a logic-based tool for intelligent help systems

We introduce a system which improves the performance of intelligent help systems by supplying them with plan generation and plan recognition components. Both components work in close mutual cooperation. We demonstrate two modes of cross-talk between them, one where plan recognition is done on the basis of abstract plans provided by the planner and the other where optimal plans are generated based on recognition results. The examples which are presented are taken from an operating system domain, namely from the UNIX mail domain. Our system is completely logic-based. Relying on a common logical framework--the interval-based modal temporal logic LLP which we have developed--both components are implemented as special purpose inference procedures. Plan generation from first and second principles is provided and carried out deductively, whereas plan recognition follows a new abductive approach for modal logics. The plan recognizer is additionally supplied with a probabilistic reasoner as a means to adjust the help provided for user-specific characteristics

Plan modifications versus plan generation : a complexity-theoretic perspective

The ability of a planner to modify a plan is considered as a valuable tool for improving efficiency of planning by avoiding the repetition of the same planning effort. From a computational complexity point of view, however, it is by no means obvious that modifying a plan is computationally as easy as planning from scratch if the modification has to follow the principle of "conservatism", i.e., to reuse as much of the old plan as possible. Indeed, considering propositional STRIPS planning, it turns out that conservative plan modification is as hard as planning and can sometimes be harder than plan generation. Furthermore, this holds even if we consider modification problems where the old and the new goal specification are similar. We put these results into perspective and discuss the relationship to existing plan modification systems. Although sometimes claimed otherwise, these systems do not address the modification problem, but use a non-conservative form of plan modification as a heuristic technique

A cognitive analysis of event structure

Events occupy a central place in natural language. Accordingly, an understanding of them is crucial if one is to have any kind of a theoretically well-motivated account of natural language understanding and generation. It is proposed here that speakers create a cognitive structure for each discourse and process it as they introduce sentences into the discourse. The structure for each sentence depends systematically on its tense, aspect and the situation type; its effect on the discourse also depends on the structures of the sentences that precede it. It is also argued that the perfective aspect introduces the structure of the given event in its entirety. The progressive, by contrast, introduces only the core of the structure of the given event excluding, in particular, its preparatory processes and resultant state. Similarly, the perfect and the perfective can be distinguished on the basis of the temporal schemata they introduce. While the perfective presents the event as complete, the perfect presents it as complete and closed; i.e., the perfect prevents succeeding discourse from being interpreted as falling during the given event. This is surprising since the perfect is otherwise simply the combination of the perfective and a tense. This paper also provides a key motivation for distinguishing between the preparatory processes and the preliminary stages of an event. This observation, which is crucial in distinguishing between the perfective and the progressive has not been made in the literature