Information foraging in information access environments
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The keystroke-level model for user performance time with interactive systems
Communications of the ACM
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
DENIM: an informal tool for early stage web site design
CHI '01 Extended Abstracts 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
Predicting task execution time on handheld devices using the keystroke-level model
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Towards a tool for predicting user exploration
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Cogtool-explorer: towards a tool for predicting user interaction
CHI '08 Extended Abstracts on Human Factors in Computing Systems
SNIF-ACT: a cognitive model of user navigation on the world wide web
Human-Computer Interaction
ISWC '07 Proceedings of the 2007 11th IEEE International Symposium on Wearable Computers
Making Instance-based Learning Theory usable and understandable: The Instance-based Learning Tool
Computers in Human Behavior
Modeling task performance for a crowd of users from interaction histories
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Historically, predictive human performance modeling has been successful at predicting the task execution time of skilled users on a desktop computer. More recent work has predicted novice behavior in web searches. This paper reports on a collaborative effort between industry and academia to expand the scope of predictive modeling to the mobile phone domain, both skilled and novice behavior, and how human performance relates to the perception of usability. Since, at this writing, only preliminary results to validate models of mobile phone use are in, we describe the process we will use to progress towards our modeling goals.