-
Automated evaluation of website navigability: an empirical validation of multilevel quality models
October 2, 2012 Editor 0
Websites are an important and efficient means of communication for companies wishing to interact with their clients. Therefore, research has focused on evaluating how websites should be structured to ensure their quality. The majority of this research has focused on evaluating the quality of individual pages or that of a site as a whole.
In this article, we propose the use of two-level models that combine evaluations at the page level with evaluations at the site level, and applied them to the problem of evaluating the navigability of websites. To test our models, we conducted a study with 21 subjects who had to complete navigation tasks on several websites, and compared their quality judgments to those produced by single and two-level quality models. We found that two-level models are better predictors of navigability. Finally, we show how two-level models are able to suggest modifications to improve site navigability. Copyright © 2012 John Wiley & Sons, Ltd.
Read this article: Automated evaluation of website navigability: an empirical validation of multilevel quality models
Related Posts
Miscanthus: a fast-growing crop for biofuels and chemicals production
The BSCBAS: a Balanced Scorecard-based appraisal system for improving the performance of software organizations
INTELLECTUAL PROPERTY MANAGEMENT AND TECHNOLOGICAL ENTREPRENEURSHIP
Too Much Of A Good Thing? Absorptive Capacity, Firm Performance, And The Moderating Role Of Entrepreneurial Orientation
Why you Can’t Multi-task Innovation
Embedded software product lines: domain and application engineering model-based analysis processes
Non-farm Income Diversification in Rural Ghana: Patterns and Determinants Ignore social media at your own peril, organisations told
