Extending predictive models of exploratory behavior to broader populations

Shari Trewin, John Richards, Rachel Bellamy, Bonnie E. John, Cal Swart, David Sloan

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)


    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.

    Original languageEnglish
    Title of host publicationUniversal Access in Human-Computer Interaction. Design for All and eInclusion
    Subtitle of host publication6th International Conference, UAHCI 2011, Held as Part of HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings, Part I
    EditorsConstantine Stephanidis
    Place of PublicationBerlin
    Number of pages10
    ISBN (Electronic)9783642216725
    ISBN (Print)9783642216718
    Publication statusPublished - 2011
    Event6th International Conference on Universal Access in Human-Computer Interaction - Orlando, United States
    Duration: 9 Jul 201114 Jul 2011

    Publication series

    NameLecture notes in computer science


    Conference6th International Conference on Universal Access in Human-Computer Interaction
    Abbreviated titleUAHCI 2011
    Country/TerritoryUnited States
    OtherHeld as Part of HCI International 2011
    Internet address


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