Abstract
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.
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Trewin, S., Richards, J., Bellamy, R., John, B.E., Swart, C., Sloan, D. (2011). Extending Predictive Models of Exploratory Behavior to Broader Populations. In: Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Design for All and eInclusion. UAHCI 2011. Lecture Notes in Computer Science, vol 6765. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21672-5_17
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DOI: https://doi.org/10.1007/978-3-642-21672-5_17
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