SOAR: an architecture for general intelligence
Artificial Intelligence
Unified theories of cognition
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '93 Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing Systems
Using GOMS for user interface design and evaluation: which technique?
ACM Transactions on Computer-Human Interaction (TOCHI)
The GOMS family of user interface analysis techniques: comparison and contrast
ACM Transactions on Computer-Human Interaction (TOCHI)
Cognitive modeling reveals menu search in both random and systematic
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
Models of interactive systems: a case study on programmable user modelling
International Journal of Human-Computer Studies
A constraint satisfaction approach to predicting skilled interactive cognition
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Model-based evaluation of cell phone menu interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predictive human performance modeling made easy
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Distract-R: rapid prototyping and evaluation of in-vehicle interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting task execution time on handheld devices using the keystroke-level model
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Multipurpose Prototypes for Assessing User Interfaces in Pervasive Computing Systems
IEEE Pervasive Computing
Comparisons of keystroke-level model predictions to observed data
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Model-based evaluation of expert cell phone menu interaction
ACM Transactions on Computer-Human Interaction (TOCHI)
iPod distraction: effects of portable music-player use on driver performance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Simulating HCI for special needs
ACM SIGACCESS Accessibility and Computing - ASSETS 2007 doctoral consortium
Automatic evaluation of assistive interfaces
Proceedings of the 13th international conference on Intelligent user interfaces
Applications for Cognitive User Modeling
UM '07 Proceedings of the 11th international conference on User Modeling
Automating human-performance modeling at the millisecond level
Human-Computer Interaction
Rapid prototyping and evaluation of in-vehicle interfaces
ACM Transactions on Computer-Human Interaction (TOCHI)
AI support for building cognitive models
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Modeling Word Selection in Predictive Text Entry
Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques
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
Supporting rapid design and evaluation of pervasive applications: challenges and solutions
Personal and Ubiquitous Computing
A computational model of retrospective time estimation
Cognitive Systems Research
Specifying ACT-R models of user interaction with a GOMS language
Cognitive Systems Research
Improvements in interface design through implicit modeling
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: design methods, tools, and interaction techniques for eInclusion - Volume Part I
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Cognitive modeling has evolved into a powerful tool for understanding and predicting user behavior. Higher-level modeling frameworks such as GOMS and its variants facilitate fast and easy model development but are sometimes limited in their ability to model detailed user behavior. Lower-level cognitive architectures such as EPIC, ACT-R, and Soar allow for greater precision and direct interaction with real-world systems but require significant modeling training and expertise. In this paper we present a modeling framework, ACT-Simple, that aims to combine the advantages of both approaches to cognitive modeling. ACT-Simple embodies a "compilation" approach in which a simple description language is compiled down to a core lower-level architecture (namely ACT-R). We present theoretical justification and empirical validation of the usefulness of the approach and framework.