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...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Sankt Augustin
1989
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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. |
Internformat
MARC
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100 | 1 | |a Zinßmeister, Gaby |e Verfasser |4 aut | |
245 | 1 | 0 | |a Acquisition of task-knowledge for an adaptive user interface |c Gaby Zinßmeister ; Heinz Ulrich Hoppe |
264 | 1 | |a Sankt Augustin |c 1989 | |
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490 | 1 | |a Gesellschaft für Mathematik und Datenverarbeitung <Sankt Augustin>: Arbeitspapiere der GMD |v 381 | |
520 | 3 | |a 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 | |
520 | 3 | |a 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. | |
650 | 4 | |a Expert systems (Computer science) | |
700 | 1 | |a Hoppe, Heinz Ulrich |e Verfasser |4 aut | |
830 | 0 | |a Gesellschaft für Mathematik und Datenverarbeitung <Sankt Augustin>: Arbeitspapiere der GMD |v 381 |w (DE-604)BV000613796 |9 381 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-005933639 |
Datensatz im Suchindex
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any_adam_object | |
author | Zinßmeister, Gaby Hoppe, Heinz Ulrich |
author_facet | Zinßmeister, Gaby Hoppe, Heinz Ulrich |
author_role | aut aut |
author_sort | Zinßmeister, Gaby |
author_variant | g z gz h u h hu huh |
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bvnumber | BV008983514 |
ctrlnum | (OCoLC)20919604 (DE-599)BVBBV008983514 |
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id | DE-604.BV008983514 |
illustrated | Not Illustrated |
indexdate | 2024-07-09T17:27:56Z |
institution | BVB |
language | English |
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physical | 15 S. |
publishDate | 1989 |
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series | Gesellschaft für Mathematik und Datenverarbeitung <Sankt Augustin>: Arbeitspapiere der GMD |
series2 | Gesellschaft für Mathematik und Datenverarbeitung <Sankt Augustin>: Arbeitspapiere der GMD |
spelling | Zinßmeister, Gaby Verfasser aut Acquisition of task-knowledge for an adaptive user interface Gaby Zinßmeister ; Heinz Ulrich Hoppe Sankt Augustin 1989 15 S. txt rdacontent n rdamedia nc rdacarrier Gesellschaft für Mathematik und Datenverarbeitung <Sankt Augustin>: Arbeitspapiere der GMD 381 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. Expert systems (Computer science) Hoppe, Heinz Ulrich Verfasser aut Gesellschaft für Mathematik und Datenverarbeitung <Sankt Augustin>: Arbeitspapiere der GMD 381 (DE-604)BV000613796 381 |
spellingShingle | Zinßmeister, Gaby Hoppe, Heinz Ulrich Acquisition of task-knowledge for an adaptive user interface Gesellschaft für Mathematik und Datenverarbeitung <Sankt Augustin>: Arbeitspapiere der GMD Expert systems (Computer science) |
title | Acquisition of task-knowledge for an adaptive user interface |
title_auth | Acquisition of task-knowledge for an adaptive user interface |
title_exact_search | Acquisition of task-knowledge for an adaptive user interface |
title_full | Acquisition of task-knowledge for an adaptive user interface Gaby Zinßmeister ; Heinz Ulrich Hoppe |
title_fullStr | Acquisition of task-knowledge for an adaptive user interface Gaby Zinßmeister ; Heinz Ulrich Hoppe |
title_full_unstemmed | Acquisition of task-knowledge for an adaptive user interface Gaby Zinßmeister ; Heinz Ulrich Hoppe |
title_short | Acquisition of task-knowledge for an adaptive user interface |
title_sort | acquisition of task knowledge for an adaptive user interface |
topic | Expert systems (Computer science) |
topic_facet | Expert systems (Computer science) |
volume_link | (DE-604)BV000613796 |
work_keys_str_mv | AT zinßmeistergaby acquisitionoftaskknowledgeforanadaptiveuserinterface AT hoppeheinzulrich acquisitionoftaskknowledgeforanadaptiveuserinterface |