Cognitive walkthrough for the web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The bloodhound project: automating discovery of web usability issues using the InfoScentπ simulator
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A minimal model for predicting visual search in human-computer interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Towards a tool for predicting user exploration
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Modeling information navigation: implications for information architecture
Human-Computer Interaction
SNIF-ACT: a cognitive model of user navigation on the world wide web
Human-Computer Interaction
User-Centered Design and Evaluation --- The Big Picture
Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends
Toward Cognitive Modeling for Predicting Usability
Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends
Modeling information fit: a tool for interface design
Proceedings of the 16th international conference on Intelligent user interfaces
Proceedings of the 33rd International Conference on Software Engineering
Benefits and barriers of user evaluation in software engineering research
Proceedings of the 2011 ACM international conference on Object oriented programming systems languages and applications
Effortless tool-based evaluation of web form filling tasks using keystroke level model and fitts law
CHI '13 Extended Abstracts on Human Factors in Computing Systems
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In recent years, research predicting search through webpages has begun to be successful. However, existing tools ignore the order in which on-screen options are evaluated and therefore might make inaccurate predictions. We developed CogTool-Explorer and used it to model a previously published web-based experiment. Its predictions were better than those of a previously published tool, and included the order of evaluation effect not accounted for by previous tools. These more accurate predictions can be attributed to the approach used in CogTool-Explorer.