| |  | Groth, D. P. | Information provenance and the knowledge rediscovery problem read moreAbstract: Visualizations leverage innate human capabilities for recognizing interesting aspects of data. Even if users might agree on what is interesting about a visualization, the steps that they use in the knowledge discovery process may be significantly different. This results in an inability to effectively recreate the exact conditions of the discovery process, which we call the knowledge rediscovery problem. Because we cannot expect a user to fully document each of their interactions, there is a need for visualization systems to maintain user trace data in a way that enhances a user's ability to communicate what they found to be interesting, as well as how they found it. We present a model for representing user interactions that articulates with a corresponding set of annotations, or observations that are made during the exploration. Such ability is critical to addressing the knowledge rediscovery problem, and is a fundamental component for systems that must provide information provenance. | 2004 |
| | | Reyes-Farfan, N. | Personal spaces in the context of OAI read moreAbstract: We describe MiBiblio 2.0, a highly personalizable user interface for a federation of digital libraries under the OAI protocol for metadata harvesting (OAI-PMH). MiBiblio 2.0 allows users to personalize their personal space by choosing the resources and services they need, as well as to organize, classify and manage their workspaces including resources from any of the federated libraries. Results can be kept in personal spaces and organized into categories using a drag-and-drop interface. | 2003 |
| | | Rauschert, I. | Designing a human-centered, multimodal GIS interface to support emergency management read moreAbstract: Geospatial information is critical to effective, collaborative deci-sion-making during emergency management situations; however conventional GIS are not suited for multi-user access and high-level abstract queries. Currently, decision makers do not always have the real time information they need; GIS analysts produce maps at the request of individual decision makers, often leading to overlapping requests with slow delivery times. In order to overcome these limitations, a paradigm shift in interface design for GIS is needed. The research reported upon here attempts to overcome analyst-driven, menu-controlled, keyboard and mouse operated GIS by designing a multimodal, multi-user GIS inter-face that puts geospatial data directly in the hands of decision makers. A large screen display is used for data visualization, and collaborative, multi-user interactions in emergency management are supported through voice and gesture recognition. Speech and gesture recognition is coupled with a knowledge-based dialogue management system for storing and retrieving geospatial data. This paper describes the first prototype and the insights gained for human-centered multimodal GIS interface design. | 2002 |
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