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This paper explores the integration of user modeling within the ACT-R architecture, focusing on how hardware and cognitive constraints influence user goals and task performance. By analyzing user behavior in context, we aim to enhance the effectiveness of user interactions with intelligent systems. The findings reveal important implications for designing adaptive systems that cater to the unique constraints and requirements of users, ultimately leading to improved user experience and task accomplishment strategies.
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DB I Ontology Mappers UM ACT–R DB II RUG • I2RP System Architecture RUL CWI User Modeling Rendering • User in Context: • H/W constraints • Cognitive constraints • Goals, task user