The Reorderable Matrix is a simple visualization method for quantitative tabular data. This paper examines how first-Time users interact with the Reorderable Matrix and how well they perform a simple task of finding c...
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Mandala is a system for using images to represent, access, and organize web information. Images from a web page represent the content of the page. Double-clicking on an image signals a web browser to display the assoc...
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Although the use of the World Wide Web has expanded tremendously in the past few years, we still know very little about how users are working with this new medium, what they attempt to accomplish, what works, what doe...
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Although the use of the World Wide Web has expanded tremendously in the past few years, we still know very little about how users are working with this new medium, what they attempt to accomplish, what works, what doesn't. One way to answer such questions is to simply ask users for descriptions of their own activities. This paper presents an analysis of 133 stories of Web use contributed by users over a period of 40 months, since the Web Storybase began operation in December 1994. Usage of the Storybase is examined in general, and the stories are analyzed along several dimensions. The stories convey usage experiences that not only involve global information retrieval and person-to-person contact, but also the development of both good and bad interpersonal relationships, as well as extensive reflection on how the Web is changing our lives.
We describe a method for automatically learning a parser from labeled, bracketed corpora that results in a fast, robust, lightweight parser that is suitable for real-time dialog systems and similar applications. Unlik...
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We investigate the utility of right-context (look-ahead information) in incremental left-to-right language models with word sense disambiguation, and discover somewhat unexpectedly that using right-context in addition...
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Over the years, many proposals have been made to incorporate assorted types of feature in language models. However, discrepancies between training sets, evaluation criteria, algorithms, and hardware environments make ...
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This paper uses an information-based approach to conduct feature types selection for language modeling in a systematic manner. We describe a quantitative analysis of the information gain and the information redundancy...
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This paper presents a system for automatic verb sense disambiguation using a small corpus and a Machine-Readable Dictionary (MRD) in Korean. The system learns a set of typical uses listed in the MRD usage examples for...
作者：
B.B. BedersonA. BoltmanComputer Science Department
Human-Computer Interaction Laboratory Institute for Advanced Computer Studies University of Maryland College Park MD USA College of Education
Human-Computer Interaction Laboratory Institute for Advanced Computer Studies University of Maryland College Park MD USA
We examine how animating a viewpoint change in a spatial information system affects a user's ability to build a mental map of the information in the space. We found that animation improves users' ability to re...
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We examine how animating a viewpoint change in a spatial information system affects a user's ability to build a mental map of the information in the space. We found that animation improves users' ability to reconstruct the information space, with no penalty on task performance time. We believe that this study provides strong evidence for adding animated transitions in many applications with fixed spatial data where the user navigates around the data space.
This paper presents a statistical approach to developing multimodal recognition systems and, in particular, to integrating the posterior probabilities of parallel input signals involved in the multimodal system. We fi...
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This paper presents a statistical approach to developing multimodal recognition systems and, in particular, to integrating the posterior probabilities of parallel input signals involved in the multimodal system. We first derive the performance bounds of multimodal recognition probabilities, and identify the primary factors that influence multimodal recognition performance. We then develop a technique, a members-teams-committee (MTC) recognition approach, designed to optimize accurate recognition during the multimodal integration process. We evaluate these methods using Quickset, a speech/gesture multimodal system, and report evaluation results based on an empirical corpus collected with Quickset. From an architectural perspective, the integration technique presented offers enhanced robustness. It also is premised on more realistic assumptions than previous multimodal systems using semantic fusion. From a methodological standpoint, the evaluation techniques that we describe provide a valuable tool for evaluating multimodal systems.
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