Measuring usability: are effectiveness, efficiency, and satisfaction really correlated?
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Quality in use: Meeting user needs for quality
Journal of Systems and Software
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Machine Learning
Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models
Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models
A method to standardize usability metrics into a single score
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Current practice in measuring usability: Challenges to usability studies and research
International Journal of Human-Computer Studies
Decision Support and Business Intelligence Systems (8th Edition)
Decision Support and Business Intelligence Systems (8th Edition)
Correlations among prototypical usability metrics: evidence for the construct of usability
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
UWIS: An assessment methodology for usability of web-based information systems
Journal of Systems and Software
Advanced Data Mining Techniques
Advanced Data Mining Techniques
| Hi-index | 12.05 |
In this study, a decision support system (DSS) for usability assessment and design of web-based information systems (WIS) is proposed. It employs three machine learning methods (support vector machines, neural networks, and decision trees) and a statistical technique (multiple linear regression) to reveal the underlying relationships between the overall WIS usability and its determinative factors. A sensitivity analysis on the predictive models is performed and a new metric, criticality index, is devised to identify the importance ranking of the determinative factors. Checklist items with the highest and the lowest contribution to the usability performance of the WIS are specified by means of the criticality index. The most important usability problems for the WIS are determined with the help of a pseudo-Pareto analysis. A case study through a student information system at Fatih University is carried out to validate the proposed DSS. The proposed DSS can be used to decide which usability problems to focus on so as to improve the usability and quality of WIS.