A constraint satisfaction approach to predicting skilled interactive cognition

Authors:
Alonso Vera;Andrew Howes;Michael McCurdy;Richard L. Lewis
Affiliations:
NASA Ames Research Center, Moffett Field, CA;Cardiff University, Cardiff, UK;NASA Ames Research Center, Moffett Field, CA;University of Michigan, Ann Arbor, MI
Venue:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year:
2004

Citing 8
Cited 7

Constraint logic programming

POPL '87 Proceedings of the 14th ACM SIGACT-SIGPLAN symposium on Principles of programming languages
GOMS analysis for parallel activities

CHI '94 Conference Companion on Human Factors in Computing Systems
A tool for creating predictive performance models from user interface demonstrations

Proceedings of the 12th annual ACM symposium on User interface software and technology
Automating CPM-GOMS

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Psychology of Human-Computer Interaction

The Psychology of Human-Computer Interaction
Simple cognitive modeling in a complex cognitive architecture

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Contributions to engineering models of human-computer interaction. (volumes i and ii)

Contributions to engineering models of human-computer interaction. (volumes i and ii)
TYPIST: a theory of performance in skilled typing

Human-Computer Interaction

Supporting efficient development of cognitive models at multiple skill levels: exploring recent advances in constraint-based modeling

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Generating automated predictions of behavior strategically adapted to specific performance objectives

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
When two methods are better than one: combining user study with cognitive modeling

CHI '07 Extended Abstracts on Human Factors in Computing Systems
Automating human-performance modeling at the millisecond level

Human-Computer Interaction
Knowing where and when to look in a time-critical multimodal dual task

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Informing decisions: how people use online rating information to make choices

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Understanding multitasking as an adaptive strategy selection process

CHI '11 Extended Abstracts on Human Factors in Computing Systems

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper we report a new approach to generating predictions about skilled interactive cognition. The approach, which we call Cognitive Constraint Modeling, takes as input a description of the constraints on a task environment, on user strategies, and on the human cognitive architecture and generates as output a prediction of the time course of interaction. In the Cognitive Constraint Models that we have built this is achieved by encoding the assumptions inherent in CPM-GOMS as a set of constraints and reasoning about them using finite domain constraint satisfaction.