A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
The keystroke-level model for user performance time with interactive systems
Communications of the ACM
The bloodhound project: automating discovery of web usability issues using the InfoScentπ simulator
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predictive human performance modeling made easy
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
When two methods are better than one: combining user study with cognitive modeling
CHI '07 Extended Abstracts on Human Factors in Computing Systems
A comprehension-based model of exploration
Human-Computer Interaction
Cognitive strategies for the visual search of hierarchical computer displays
Human-Computer Interaction
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
An intuitive model of perceptual grouping for HCI design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The impact of working memory limitations and distributed cognition on solving search problems on complex informational websites
Proceedings of the 33rd International Conference on Software Engineering
Modeling goal-directed user exploration in human-computer interaction
Modeling goal-directed user exploration in human-computer interaction
An integrated model of eye movements and visual encoding
Cognitive Systems Research
Easing the generation of predictive human performance models from legacy systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Understanding the role of age and fluid intelligence in information search
Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility
The whats and hows of programmers' foraging diets
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An open source approach to information scent
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Engineering works: what is (and is not) engineering for interactive computer systems?
Proceedings of the 5th ACM SIGCHI symposium on Engineering interactive computing systems
Human performance regression testing
Proceedings of the 2013 International Conference on Software Engineering
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CogTool-Explorer 1.2 (CTE1.2) predicts novice exploration behavior and how it varies with different user-interface (UI) layouts. CTE1.2 improves upon previous models of information foraging by adding a model of hierarchical visual search to guide foraging behavior. Built within CogTool so it is easy to represent UI layouts, run the model, and present results, CTE1.2's vision is to assess many design ideas at the storyboard stage before implementation and without the cost of running human participants. This paper evaluates CTE1.2 predictions against observed human behavior on 108 tasks (36 tasks on 3 distinct website layouts). CTE1.2's predictions accounted for 63-82% of the variance in the percentage of participants succeeding on each task, the number of clicks to success, and the percentage of participants succeeding without error. We demonstrate how these predictions can be used to identify areas of the UI in need of redesign.