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[research prototype] HABAS: Subsymbolic Knowledge Representation for Activity-oriented Adaptive User Modeling

Description:
The global objective of the research project HABAS is to explore the possibilities of automated and interaction based adaption of user interfaces by implementing machine learning methods in combination with subsymbolic representation.

The encoding of the user interactions into suitable patterns with subsequent subsymbolic processing shall lead to stable user categories. Within these categories there should take place a reasonabel adaptation of the user interface according to the typical interaction of the users of these user group.

Start:
01.10.2000

End:
30.09.2002

Project Officer:
o.Univ.Prof. Dipl.-Ing. Dr. Christian Stary

Staff:
Mag. Peter Eberle

Publications:
The Role of Cognitive Modeling for User Interface Design Representations: An Epistemological Analysis of Knowledge Engineering in the Context of Human-Computer Interaction
Towards Constructivist Unification of Conventional Machine Learning and Parallel Distributed Processing

Field of Research:
Adaptive Systems