2011 | OriginalPaper | Chapter
Extending Predictive Models of Exploratory Behavior to Broader Populations
Authors : Shari Trewin, John Richards, Rachel Bellamy, Bonnie E. John, Cal Swart, David Sloan
Published in: Universal Access in Human-Computer Interaction. Design for All and eInclusion
Publisher: Springer Berlin Heidelberg
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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.