Exploring large geolocated social media datasets is now an important task in many pursuits e.g. crisis response. Yet there is still a lack of effective methods to view and interact with large amounts spatially-disturbed user-generated content. In this work, we explore interaction techniques for an extended version of ScatterBlogs - an interactive application for exploring massive twitter datasets on large high-resolution displays. We designed an interaction technique that employs multiple tablets to enable multiple users to effectively manipulate geolocated twitter massages on a large screen. In a preliminary user study, we compared our technique with using a desktop computer. Results indicate that the technique offers superior performance and user experience. In future work, we will explore how our technique can enhance the user experience of interacting with analytics applications.

Large high-resolution displays (LHRDs) present new opportunities for interaction design in areas such as interactive visualization and data analytics. Design processes for graphical interfaces for LHRDs are still challenging. In this paper, we explore the design space of graphical interfaces for LHRDs by engaging in the creation of four prototypes for supporting office work. Specifically, we investigate how users can effectively manage application windows on LHRDs using four window alignment techniques: curved zooming, window grouping, window spinning and side pane navigation. We present the design and implementation of these window alignment techniques in a sample office application. Based on a mixed-methods user study of our prototypes, we contribute insights on designing future graphical interfaces for LHRDs. We show that potential users appreciate techniques, which enhance focus switching without changing the spatial relation between related windows.