Paper Info
Title
Integrating Goms Models And Logging Methods Into A Single Tool For Evaluating The Usability Of Intelligent Systems
Abstract
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 (logging). 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.
Year
DOI
Venue
2004
10.1109/ICSMC.2004.1401010
2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7
Keywords
Field
DocType
GOMS models, logging methods, usability tools, intelligent systems
Computer science,Heuristic evaluation,Usability engineering,Usability,Usability goals,Cognitive walkthrough,Artificial intelligence,Usability inspection,GOMS,System usability scale,Machine learning
Conference
ISSN
Citations 
PageRank 
1062-922X
1
0.36
References 
Authors
5
3
Name
Order
Citations
PageRank
Eduardo Mosqueira-Rey19311.62
Julio Rivela-carballal210.36
Vicente Moret-Bonillo320126.17