Journals | Cart | Stumble | Community

user modelling > knowledge acquisition


Select: All \| None \| Toggle Preview: Open All \| Close All
1993
			Chin, David N.	Acquiring user models read more Abstract: Existing machine techniques for acquiring user models are characterized along five orthogonal dimensions: passive/active, user-initiated/automatic, logical/plausible, direct/indirect, and on-line/off-line. Passive techniques observe users whereas active techniques query users. User-initiated techniques require that users volunteer information; automatic techniques do not. The logical/plausible dimension measures the accuracy of derived user model data. Indirect techniques build upon data gathered by more direct methods. On-line techniques acquire user models in real-time during user interaction, while off-line techniques work after the user interaction is finished. Commonalities and differences in capabilities and features of different user model acquisition techniques are analyzed along the above dimensions, and the relationship of these techniques to similar techniques in other areas of artificial intelligence are discussed. knowledge acquisition; user modelling; machine learning; Checkout More Details \| Available Online	1993

Results: 1

1

Results per page: [25]

;

Select Another SubTopic

mental models (1);

classification (1);

process knowledge structures (1);

knowledge acquisition (1);

machine learning (1);

computer aided instruction (1);

psychology (1);

causal networks (1);

cognitive processes (1);

cognitive subject matter (1);

knowledge components (1);

knowledge objects (1);

knowledge structures (1);

Feedback | About Memento