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Most information retrieval technologies are designed to facilitate information discovery. However, much knowledge work involves finding and re-using previously seen information. We describe the design and evaluation of a system, called Stuff I've Seen (SIS), that facilitates information re-use. This is accomplished in two ways. First, the system provides a(More)
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We describe the design and functionality of the <i>Scope</i>, a glanceable notification summarizer. The Scope is an information visualization designed to unify notifications and minimize distractions. It allows users to remain aware of notifications from multiple sources of information, including e-mail, instant messaging, information alerts, and(More)
Our studies have shown that as displays become larger, users leave more windows open for easy multitasking. A larger number of windows, however, may increase the time that users spend arranging and switching between tasks. We present <i>Scalable Fabric</i>, a task management system designed to address problems with the proliferation of open windows on the(More)
The 3D components of today's user interfaces are still underdeveloped. Direct interaction with 3D objects has been limited thus far to gestural picking, manipulation with linear transformations, and simple camera motion. Further, there are no toolkits for building 3D user interfaces. We present a system which allows experimentation with 3D widgets,(More)
The Task Gallery is a window manager that uses interactive 3D graphics to provide direct support for task management and document comparison, lacking from many systems implementing the desktop metaphor. User tasks appear as artwork hung on the walls of a virtual art gallery, with the selected task on a stage. Multiple documents can be selected and displayed(More)
Drag-and-pop and drag-and-pick are interaction techniques designed for users of pen-and touch-operated display systems. They provide users with access to screen content that would otherwise be impossible or hard to reach, e.g., because it is located behind a bezel or far away from the user. Drag-and-pop is an extension of traditional drag-and-drop. As the(More)
Systems for fast search of personal information are rapidly becoming ubiquitous. Such systems promise to dramatically improve personal information management, yet most are modeled on Web search in which users know very little about the content that they are searching. We describe the design and deployment of a system called Phlat that optimizes search for(More)
The dominant paradigm for searching and browsing large data stores is text-based: presenting a scrollable list of search results in response to textual search term input. While this works well for the Web, there is opportunity for improvement in the domain of personal information stores, which tend to have more heterogeneous data and richer metadata. In(More)
In this paper we describe a novel approach for searching large data sets from a mobile phone. Existing interfaces for mobile search require keyword text entry and are not suited for browsing. Our alternative uses a hybrid model to de-emphasize tedious keyword entry in favor of iterative data filtering. We propose navigation and selection of hierarchical(More)