Assessing the impact of time on user interface design
ACM SIGCHI Bulletin
Long-term variation in user actions
ACM SIGCHI Bulletin
How machine delays change user strategies
ACM SIGCHI Bulletin
Systematic hypermedia application design with OOHDM
Proceedings of the the seventh ACM conference on Hypertext
Navigation in electronic worlds: a CHI 97 workshop
ACM SIGCHI Bulletin
HyperText and Hypermedia
Microsoft Secrets: How the World's Most Powerful Software Company Creates Technology, Shapes Markets, and Manages People
Macintosh human interface guidelines
Macintosh human interface guidelines
Web Navigability Testing with Remote Agents
Web Engineering, Software Engineering and Web Application Development
Behavior Capture and Test for Verifying Evolving Component-Based Systems
Proceedings of the 26th International Conference on Software Engineering
Hyperlink assessment based on web usage mining
Proceedings of the seventeenth conference on Hypertext and hypermedia
Improving accessibility with user-tailored interfaces
Applied Intelligence
Remote evaluation of mobile context-aware systems using data-gathering agents
AIC'09 Proceedings of the 9th WSEAS international conference on Applied informatics and communications
A Technique for Verifying Component-Based Software
Electronic Notes in Theoretical Computer Science (ENTCS)
Testing web navigation for all: an agent-based approach
ICCHP'06 Proceedings of the 10th international conference on Computers Helping People with Special Needs
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Predicting the user's navigational behavior in the exploration process of a hypermedia device is a quite difficult task due to the high number of cognitive and technical factors involved. To measure the quality of a navigational model, testers must expose it to real users by mean of usability testing. Although powerful, classic usability techniques result too complex and expensive for the kind of data required conducting a navigability test. Usability testing also misses the effect that the performance of the user's machine has on navigation task and is unable to record user spontaneous behavior.In order to avoid these problems, we have developed ANTS, an Automatic Navigability Testing System based on data gathering agents. These agents are sent to the user's machine, where they record the user's behavior discreetly, measuring the performance of the user's computer too. This approach not only reduces the data gathering cost but also avoids the volunteer's sensation of being observed also, since the physical presence of human testers is not required.