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Full-Text Articles in Theory and Algorithms
Analysis Of Eye-Tracking Data In Visualization And Data Space, Sayeed Safayet Alam
Analysis Of Eye-Tracking Data In Visualization And Data Space, Sayeed Safayet Alam
FIU Electronic Theses and Dissertations
Eye-tracking devices can tell us where on the screen a person is looking. Researchers frequently analyze eye-tracking data manually, by examining every frame of a visual stimulus used in an eye-tracking experiment so as to match 2D screen-coordinates provided by the eye-tracker to related objects and content within the stimulus. Such task requires significant manual effort and is not feasible for analyzing data collected from many users, long experimental sessions, and heavily interactive and dynamic visual stimuli. In this dissertation, we present a novel analysis method. We would instrument visualizations that have open source code, and leverage real-time information about …
Improving Discovery And Patron Experience Through Data Mining, Boyuan Guan, Jamie Rogers
Improving Discovery And Patron Experience Through Data Mining, Boyuan Guan, Jamie Rogers
Works of the FIU Libraries
As information professionals, we know simple database searches are imperfect. With rich and expansive digital collections, patrons may not find content that is buried in a long list of results. So, how do we improve discovery of pertinent materials and offer serendipitous experience? Following the example of recommendation functionality in online applications like Netflix, we have developed a recommendation function for our digital library system that provides relevant content beyond the narrow scope of patrons' original search parameters. This session will outline the reasoning, methodology, and design of the recommendation system as well as preliminary results from implementation.