Using Ontology to Drive an Adaptive Learning Interface
Intelligent, adaptive interfaces are a pre-requisite to elevating computer-based applications to the realm of collaborative decision support in complex, relatively open-ended domains such as logistics and planning. This is because the composition and effective presentation of even the most useful in...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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International Institute of Informatics and Cybernetics
2004-10-01
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| Series: | Journal of Systemics, Cybernetics and Informatics |
| Subjects: | |
| Online Access: | http://www.iiisci.org/Journal/CV$/sci/pdfs/P661624.pdf
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| _version_ | 1818082270296145920 |
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| author | Andrew Crapo Amy Aragones Joseph Price Anil Varma |
| author_facet | Andrew Crapo Amy Aragones Joseph Price Anil Varma |
| author_sort | Andrew Crapo |
| collection | DOAJ |
| description | Intelligent, adaptive interfaces are a pre-requisite to elevating computer-based applications to the realm of collaborative decision support in complex, relatively open-ended domains such as logistics and planning. This is because the composition and effective presentation of even the most useful information must be tailored to constantly changing circumstances. Our objective is to not only achieve an adaptive human-machine interface, but to imbue the software with a significant portion of the responsibility for effectively controlling the adaptation, freeing the user from unnecessary distraction and making the human-machine relationship more collaborative in nature. The foundational concepts of interface adaptation are discussed and a specific logistics application is described as an example. |
| first_indexed | 2024-12-10T19:19:26Z |
| format | Article |
| id | doaj.art-2f02f010770d40208fd8de8390f85fec |
| institution | Directory Open Access Journal |
| issn | 1690-4524 |
| language | English |
| last_indexed | 2024-12-10T19:19:26Z |
| publishDate | 2004-10-01 |
| publisher | International Institute of Informatics and Cybernetics |
| record_format | Article |
| series | Journal of Systemics, Cybernetics and Informatics |
| spelling | doaj.art-2f02f010770d40208fd8de8390f85fec2022-12-22T01:36:31ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242004-10-01254450Using Ontology to Drive an Adaptive Learning InterfaceAndrew Crapo0Amy Aragones1Joseph Price2Anil Varma3 GE Global Research GE Global Research GE Global Research GE Global Research Intelligent, adaptive interfaces are a pre-requisite to elevating computer-based applications to the realm of collaborative decision support in complex, relatively open-ended domains such as logistics and planning. This is because the composition and effective presentation of even the most useful information must be tailored to constantly changing circumstances. Our objective is to not only achieve an adaptive human-machine interface, but to imbue the software with a significant portion of the responsibility for effectively controlling the adaptation, freeing the user from unnecessary distraction and making the human-machine relationship more collaborative in nature. The foundational concepts of interface adaptation are discussed and a specific logistics application is described as an example.http://www.iiisci.org/Journal/CV$/sci/pdfs/P661624.pdf ontologyautonomic logisticsMachine Learningconceptual graphsadaptive interface |
| spellingShingle | Andrew Crapo Amy Aragones Joseph Price Anil Varma Using Ontology to Drive an Adaptive Learning Interface Journal of Systemics, Cybernetics and Informatics ontology autonomic logistics Machine Learning conceptual graphs adaptive interface |
| title | Using Ontology to Drive an Adaptive Learning Interface |
| title_full | Using Ontology to Drive an Adaptive Learning Interface |
| title_fullStr | Using Ontology to Drive an Adaptive Learning Interface |
| title_full_unstemmed | Using Ontology to Drive an Adaptive Learning Interface |
| title_short | Using Ontology to Drive an Adaptive Learning Interface |
| title_sort | using ontology to drive an adaptive learning interface |
| topic | ontology autonomic logistics Machine Learning conceptual graphs adaptive interface |
| url | http://www.iiisci.org/Journal/CV$/sci/pdfs/P661624.pdf
|
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