Acquisition of task-knowledge for an adaptive user interface:

Abstract: "In order to be able to support the user in his or her problem solving behavior, adaptive systems have to be provided with knowledge of possible task contexts and inference mechanisms to determine adequate help. Existing systems work on a predefined set of task representations. Howeve...

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Bibliographische Detailangaben
Hauptverfasser: Zinßmeister, Gaby (VerfasserIn), Hoppe, Heinz Ulrich (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Sankt Augustin 1989
Schriftenreihe:Gesellschaft für Mathematik und Datenverarbeitung <Sankt Augustin>: Arbeitspapiere der GMD 381
Schlagworte:
Zusammenfassung:Abstract: "In order to be able to support the user in his or her problem solving behavior, adaptive systems have to be provided with knowledge of possible task contexts and inference mechanisms to determine adequate help. Existing systems work on a predefined set of task representations. However, there is any number of possible tasks which can never be captured exhaustively by a predefined knowledge base. This paper presentes two methods for automatic acquisition of task knowledge. The first method is inductive in that is searches for 'similar' task sequences which reoccur in the transcript with a certain frequency. The second method is based on so-called 'concepts' which describe the semantics of general task types in a non-operational way
This approach allows single instances to be recognized and classified according to the semantic concepts they belong to. As an application, an online coach for a UNIX-like file management system is described.
Beschreibung:15 S.

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