Programmable user models for predictive evaluation of interface designs
CHI '89 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Unified theories of cognition
Using icons to find documents: simplicity is critical
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
The GOMS family of user interface analysis techniques: comparison and contrast
ACM Transactions on Computer-Human Interaction (TOCHI)
Cognitive modeling reveals menu search in both random and systematic
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
ACM Transactions on Computer-Human Interaction (TOCHI)
Eye tracking the visual search of click-down menus
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Intelligent gaze-added interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Evaluation of eye gaze interaction
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Supporting cognitive models as users
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 2
Near-term memory in programming: a simulation-based analysis
International Journal of Human-Computer Studies
Visual search and mouse-pointing in labeled versus unlabeled two-dimensional visual hierarchies
ACM Transactions on Computer-Human Interaction (TOCHI)
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
Visual Display Terminals: A Manual Covering Ergonomics, WorkPlace Design, Health and Safety, Task Organization
CHI '99 Extended Abstracts on Human Factors in Computing Systems
Cognitive strategies and eye movements for searching hierarchical computer displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Unintended effects: varying icon spacing changes users' visual search strategy
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A comprehension-based model of exploration
Human-Computer Interaction
ACT-R: a theory of higher level cognition and its relation to visual attention
Human-Computer Interaction
An integrated model of eye movements and visual encoding
Cognitive Systems Research
Modeling icon search in ACT-R/PM
Cognitive Systems Research
Predicting the effects of cellular-phone dialing on driver performance
Cognitive Systems Research
Integrating models of human-computer visual interaction
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Perception Model for People with Visual Impairments
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Gaze-Assisted Pointing for Wall-Sized Displays
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
Modelling perception using image processing algorithms
Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology
Eye and pointer coordination in search and selection tasks
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Cognitive Systems Research
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Because of the visual nature of computer use, researchers and designers of computer systems would like to gain some insight into the visual search strategies of computer users. Icons, a common component of graphical user interfaces, serve as the focus for a set of studies aimed at (1) developing a detailed understanding of how people search for an icon in a typically crowded screen of other icons that vary in similarity to the target, and (2) building a cognitively plausible model that simulates the processes inferred in the human search process. An eye-tracking study of the task showed that participants rarely refixated icons that they had previously examined, and that participants used an efficient search strategy of examining distractor icons nearest to their current point of gaze. These findings were integrated into an ACT-R model of the task using EMMA and a "nearest" strategy. The model fit the response time data of participants as well as a previous model of the task, but was a much better fit to the eye movement data.