Automated Web Site Evaluation: Researchers’ and Practioners’ PerspectivesAmong all information systems that are nowadays available, web sites are definitely the ones having the widest potential audience and the most significant impact on the everyday life of people. Web sites contribute largely to the information society: they provide visitors with a large array of services and information and allow them to perform various tasks without prior assumptions about their computer literacy. Web sites are assumed to be accessible and usable to the widest possible audience. Consequently, usability has been recognized as a critical success factor for web sites of every kind. Beyond this universal recognition, usability still remains a notion that is hard to grasp. Summative evaluation methods have been introduced to identify potential usability problems to assess the quality of web sites. However, summative evaluation remains limited in impact as it does not necessarily deliver constructive comments to web site designers and developers on how to solve the usability problems. Formative evaluation methods have been introduced to address this issue. Evaluation remains a process that is hard to drive and perform, while its potential impact is probably maximal for the benefit of the final user. This complexity is exacerbated when web sites are very large, potentially up to several hundreds of thousands of pages, thus leading to a situation where eval uating the web site is almost impossible to conduct manually. Therefore, many attempts have been made to support evaluation with: • Models that capture some characteristics of the web site of interest. |
Contents
WORK PRACTICES OF WEB PRACTITIONERS | 3 |
Researchers Perspective | 15 |
USABILITY TESTING METHODS | 23 |
to the designers task flow | 26 |
INSPECTION METHODS | 39 |
INQUIRY METHODS | 49 |
THE WEBTANGO METHOD | 57 |
PROMISING RESEARCH DIRECTIONS | 99 |
COMPARISON OF GUIDELINE REVIEW TOOLS | 127 |
EMPIRICAL STUDY OF GUIDELINE REVIEW TOOLS | 145 |
media Dreamweaver | 150 |
ANALYSIS OF WEB DESIGN GUIDELINES | 159 |
PROMISING TOOL DEVELOPMENT DIRECTIONS | 167 |
Appendices | 171 |
About the Author | 193 |
Practitioners Perspective | 111 |
Other editions - View all
Automated Web Site Evaluation: Researchers’ and Practioners’ Perspectives M.Y. Ivory Limited preview - 2003 |
Automated Web Site Evaluation: Researchers’ and Practioners’ Perspectives M.Y. Ivory No preview available - 2003 |
Automated Web Site Evaluation: Researchers’ and Practioners’ Perspectives M.Y. Ivory No preview available - 2010 |
Common terms and phrases
A-Prompt Analysis Tool analyze approaches assess automated analysis automated critique automated evaluation tools BMC Software Bobby body text browser Chapter Cognitive Walkthrough data mining decision tree depicts design guidelines developed discussed element variation enables evaluators errors evaluation methods example explore Figure files usability testing-log font graphical guideline review tools Hall of Health identify improve information scent inspection-guideline review interactive interface Internet Ivory and Hearst layout LIFT-NNG log file analysis log files usability Method Type methodology modified navigation Nielsen OLAP overall page quality page-level pages and sites Paterṇ percent practitioners predictions profiles quantitative measures reported Section 508 Section 508 guidelines simulation Table task models task-based Technology testing-log file analysis usability and accessibility usability problems usability testing usability testing-log file UsableNet user abilities visualization W3C HTML Validator WatchFire web design web server web usage mining Webby Awards WEBMINER Wide Web Consortium World Wide World Wide Web


