by Dario D. Salvucci, Frank J. Lee
In Human Factors in Computing Systems: CHI 2003 Conference Proceedings
http://hcil.cs.drexel.edu/publications/CHI03.pdf
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Abstract:
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.
Citations
|
822
|
Unified theories of cognition
– Newell
- 1990
|
|
540
|
Soar: An architecture for general intelligence
– Laird, Newell, et al.
- 1987
|
|
464
|
The psychology of humancomputer interaction
– Card, Moran, et al.
- 1983
|
|
178
|
The Atomic Components of Thought
– Anderson, Lebiere
- 1998
|
|
119
|
A computational theory of executive cognitive processes and multiple-task performance. Part 1. Basic mechanisms
– Meyer, Kieras
- 1997
|
|
110
|
The goms family of user interface analysis techniques: Comparison and contrast
– John, Kieras
- 1996
|
|
73
|
Using GOMS for user interface design and evaluation: Which technique
– John, Kieras
- 1996
|
|
59
|
ACT-R/PM and menu selection: Applying a cognitive architecture to HCI
– Byrne
- 2001
|
|
54
|
Towards a practical GOMS model methodology for user interface design
– Kieras
- 1988
|
|
47
|
Predicting the effects of in-car interface use on driver performance: An integrated model approach
– Salvucci
- 2001
|
|
35
|
Extensions of GOMS Analyses to Expert Performance Requiring Perception of Dynamic Visual and Auditory Information
– John
- 1990
|
|
33
|
Serial modules in parallel: The psychological refractory period and perfect time-sharing
– Byrne, Anderson
- 2001
|
|
28
|
Estimating the relative usability of two interfaces: Heuristic, formal, and empirical methods compared
– Nielsen, Phillips
- 1993
|
|
26
|
Project Ernestine: A validation of GOMS for prediction and explanation of real-world task performance
– Gray, John, et al.
- 1993
|
|
23
|
Cognitive modeling reveals menu search is both random and systematic
– Hornof, Kieras
- 1997
|
|
21
|
Toward an integrated model of driver behavior in a cognitive architecture
– Salvucci, Boer, et al.
- 2001
|
|
20
|
Automating CPM-GOMS
– John, Vera, et al.
- 2002
|
|
16
|
Does learning a complex task have to be complex? A study in learning decomposition
– Lee, Anderson
- 2001
|
|
5
|
A connectionist implementation of the ACT-R production system
– Lebiere, Anderson
- 1993
|
|
1
|
Process and challenges in development of the Predator air vehicle operator model
– Ball, Gluck, et al.
- 2002
|
|
1
|
Modeling synthetic opponents in urban combat simulations
– Best, Lebiere
- 2002
|
