Interfacing thought: cognitive aspects of human-computer interaction
Cognitive resources and the learning of human-computer dialogs
Interfacing thought: cognitive aspects of human-computer interaction
The vocabulary problem in human-system communication
Communications of the ACM
Proceedings of the Fourth Conference of the British Computer Society on People and computers IV
The structure of command languages: an experiment on task-action grammar
International Journal of Man-Machine Studies
A formal representation system for the human-computer interaction process
International Journal of Man-Machine Studies
International Journal of Man-Machine Studies
Unified theories of cognition
Display-based competence: towards user models for menu-driven interfaces
International Journal of Man-Machine Studies
Display-based action at the user interface
International Journal of Man-Machine Studies
Memory for task-action mappings: mnemonics, regularity and consistency
International Journal of Human-Computer Studies
A model of the acquisition of menu knowledge by exploration
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
International Journal of Human-Computer Studies
Learning strategies and exploratory behavior of interactive computer users
Learning strategies and exploratory behavior of interactive computer users
Display navigation by an expert programmer: a preliminary model of memory
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Modeling time-constrained learning in a highly interactive task
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Turning research into practice: characteristics of display-based interaction
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Cognitive architectures and HCI
ACM SIGCHI Bulletin
Explanation-Based Generalization: A Unifying View
Machine Learning
Episodic memory for external information
Episodic memory for external information
ACT-R: a theory of higher level cognition and its relation to visual attention
Human-Computer Interaction
Human information processing: an overview for human-computer interaction
The human-computer interaction handbook
The human-computer interaction handbook
Applications for Cognitive User Modeling
UM '07 Proceedings of the 11th international conference on User Modeling
Introduction to this special issue on cognitive architectures and human-computer interaction
Human-Computer Interaction
Modelling the Efficiencies and Interactions of Attentional Networks
Attention in Cognitive Systems
Multilevel Analysis of Human Performance Models in Safety-Critical Systems
ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
Cognitive model data analysis for the evaluation of human computer interaction
EPCE'07 Proceedings of the 7th international conference on Engineering psychology and cognitive ergonomics
When Ambient Intelligence meets the Internet: User Module framework and its applications
Computer Networks: The International Journal of Computer and Telecommunications Networking
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What is the role of a cognitive architecture in shaping a model built within it? Compared with a model written in a programming language, the cognitive architecture offers theoretical constraints. These constraints can be "soft," in that some ways of constructing a model are facilitated and others made more difficult, or they can be "hard," in that certain aspects of a model are enforced and others ruled out. We illustrate a variety of these possibilities. In the case of Soar, its learning mechanism is sufficiently constraining that it imposes hard constraints on models constructed within it. We describe how one of these hard constraints deriving from Soar's learning mechanism ensures that models constructed within Soar must learn a display-based skill and, other things being equal, must find display-based devices easier to learn than keyboard-based devices. We discuss the relation between architecture and model in terms of the degree to which a model is "compliant" with the constraints set by the architecture. Although doubts are sometimes expressed as to whether cognitive architectures have any empirical consequences for user modeling, our analysis shows that they do. Architectures play their part by imposing theoretical constraints on the models constructed within them, and the extent to which the influence of the architecture shows through in the model's behavior depends on the compliancy of the model.