Intelligent analysis of user interactions with web applications
Proceedings of the 7th international conference on Intelligent user interfaces
The state of the art in automating usability evaluation of user interfaces
ACM Computing Surveys (CSUR)
A Practical Guide to Usability Testing
A Practical Guide to Usability Testing
What can a mouse cursor tell us more?: correlation of eye/mouse movements on web browsing
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Eye Tracking Methodology: Theory and Practice
Eye Tracking Methodology: Theory and Practice
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Analysis of internet users' interests based on windows GUI messages
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: applications and services
The impact of identifier style on effort and comprehension
Empirical Software Engineering
Usability problems and lines of solutions: an expert evaluation of Chilean online services
Proceedings of the 2013 Chilean Conference on Human - Computer Interaction
Usability problems and lines of solutions: an expert evaluation of Chilean online services
Proceedings of the 2013 Chilean Conference on Human - Computer Interaction
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The purpose of this research is to detect low usability web pages from the behavior of users, such as browsing time, mouse movement and eye movement. We experimented to investigate the relation between the quantitative data viewing behavior of users and web usability evaluation by subjects. We analyzed the data to detect low usability web pages using discriminant analysis. Low usability web pages, 94.4% (17pages / 18pages = detectable pages / low usability pages) were detectable from the moving speed of gazing points and the amount of wheel rolling of a mouse. Moreover, this detection reduced the number of web pages which should be evaluated by half (46% = 89 pages / 192 pages = detected pages / all pages).