Integrating GOMS models and logging methods into a single tool for evaluating the usability of intelligent systems

Usability evaluation methods can be classified as heuristic methods, subjective methods and empirical methods. This study looks at the integration of heuristic evaluation methods (GOMS) and empirical validation methods (jogging). The integration of these two methods allows us to obtain information w...

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Bibliographic Details
Published in2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583) Vol. 6; pp. 5142 - 5147 vol.6
Main Authors Mosqueira-Rey, E., Rivela-Carballal, J., Moret-Bonillo, V.
Format Conference Proceeding
LanguageEnglish
Published Piscataway NJ IEEE 2004
Subjects
Applied sciences
Computer science
Computer science; control theory; systems
Context modeling
Control theory. Systems
Design methodology
Ergonomics
Exact sciences and technology
Feedback
Intelligent systems
Protocols
Prototypes
System testing
Usability
Validation
Empirical method
Heuristic method
Artificial intelligence
Modeling
Usability
Intelligent system
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Summary:Usability evaluation methods can be classified as heuristic methods, subjective methods and empirical methods. This study looks at the integration of heuristic evaluation methods (GOMS) and empirical validation methods (jogging). The integration of these two methods allows us to obtain information which could not otherwise be obtained using the techniques separately, such as the results of a comparison of a priori predictions with real a posteriori data. The application described in this study has been integrated into the VISNU project, which aims to develop a tool to assist knowledge engineers in evaluating the validation and usability of intelligent systems.
ISBN:0780385667
9780780385665
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2004.1401010