Browsing by Author "Ramshaw, Veronica"

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    A study of drag‐and‐drop query refinement and query history visualization for mobile exploratory search
    (Wiley, 2024-12-30) Payandeh, Mohammad Hasan; Hoeber, Orland; Boon, Miriam; Storie, Dale; Ramshaw, Veronica
    When undertaking complex search scenarios, the underlying information need cannot be satisfied by finding a single optimal resource; instead, searchers need to engage in exploratory search processes to find multiple resources by itera- tively revising and reformulation their queries. This process of query refinement is particularly challenging when using a mobile device, where typing is difficult. Furthermore, in mobile search contexts interruptions can lead to searchers los- ing track of what they were doing. To address these challenges, we designed a public digital library search interface for mobile devices that includes two novel features: drag-and-drop query refinement and query history visualization. To assess the value of this interface compared to a typical baseline, we conducted a controlled laboratory study with 32 participants that included pursuing complex search scenarios, being interrupted in the midst of the search, and resuming the search after the interruption. While participants took more time, they generated longer queries and reported positive subjective opinions about the usability of the exploratory search and task resumption features, along with a greater increase in certainty. These findings show the value of leveraging new touch- based interaction mechanisms within mobile search contexts, and the benefits that visualization can bring to supporting search task resumption
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    ItemOpen Access
    AI, Bias, and Libraries
    (2024-05-03) Ramshaw, Veronica
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    ItemOpen Access
    Implementing Elastic App Search for Digital Collections
    (2021-10-22) Ramshaw, Veronica; Parvin Nishath, Sanjida; Storie, Dale
    This presentation will describe our recent experimentation using the cloud-based version of Elastic App Search to accomplish two goals: 1) to build a simple search layer connecting our digital collection platforms and 2) to provide a more robust search option for our static sites (including full-text document search).