Information foraging in information access environments
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using GOMS for user interface design and evaluation: which technique?
ACM Transactions on Computer-Human Interaction (TOCHI)
Computational models of information scent-following in a very large browsable text collection
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
The bloodhound project: automating discovery of web usability issues using the InfoScentπ simulator
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
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
A minimal model for predicting visual search in human-computer interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '07 Extended Abstracts 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
Using information scent to model the dynamic foraging behavior of programmers in maintenance tasks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
How older and younger adults differ in their approach to problem solving on a complex website
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
Information Foraging Theory: Adaptive Interaction with Information
Information Foraging Theory: Adaptive Interaction with Information
Human-Computer Interaction
SNIF-ACT: a cognitive model of user navigation on the world wide web
Human-Computer Interaction
Adaptive information search: age-dependent interactions between cognitive profiles and strategies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reactive information foraging for evolving goals
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Influencing technology adoption by older adults
Interacting with Computers
Social inclusion through digital engagement
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: design for all and eInclusion - Volume Part I
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We describe the motivation for research aimed at extending predictive cognitive modeling of non-expert users to a broader population. Existing computational cognitive models have successfully predicted the navigation behavior of users exploring unfamiliar interfaces in pursuit of a goal. This paper explores factors that might lead to significant between-group differences in the exploratory behavior of users, with a focus on the roles of working memory, prior knowledge, and information-seeking strategies. Validated models capable of predicting novice goal-directed exploration of computer interfaces can be a valuable design tool. By using data from younger and older user groups to inform the development of such models, we aim to expand their coverage to a broader range of users.