Mental models: towards a cognitive science of language, inference, and consciousness
Mental models: towards a cognitive science of language, inference, and consciousness
Mental models: theory and application in human factors
Human Factors
Context-mediated behavior for intelligent agents
International Journal of Human-Computer Studies - Special issue: using context in applications
Blackboard Architectures and Applications
Blackboard Architectures and Applications
User Centered System Design; New Perspectives on Human-Computer Interaction
User Centered System Design; New Perspectives on Human-Computer Interaction
A Practical Guide to Feature-Driven Development
A Practical Guide to Feature-Driven Development
Predicting human interruptibility with sensors: a Wizard of Oz feasibility study
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Ensemble Case-Based Reasoning: Collaboration Policies for Multiagent Cooperative CBR
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Examining the robustness of sensor-based statistical models of human interruptibility
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CoCA: A Collaborative Context-Aware Service Platform for Pervasive Computing
ITNG '07 Proceedings of the International Conference on Information Technology
Ontonym: a collection of upper ontologies for developing pervasive systems
Proceedings of the 1st Workshop on Context, Information and Ontologies
A discussion of using mental models in assistive environments
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
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This paper outlines our current research program in the fields of ambient intelligence and context-aware computing and the tools we are building to accomplish this research program. From a discussion of our conception of mental models in the domain of ambient context-aware computer systems we derive hypotheses which we intend to test empirically. A modular framework for implementing and assessing situation awareness in humans and computers is introduced. We describe the framework's architecture and illustrate its suitability for its intended purpose. Finally, we present an outline of our next steps towards real world application systems for our research.