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We present City Browser, a web-based platform which provides multimodal access to urban information.We concentrate on aspects of the system that make it compelling for sustained interaction, yet accessible to new users.First, we discuss the architecture's portability, demonstrating how new databases containing Points of Interest (POIs) may easily be added.We then describe two interface techniques which mitigate the complexity of interacting with these potentially large databases: (1) contextsensitive utterance suggestions and (2) multimodal correction of speech recognition hypotheses.Finally, we evaluate the platform with data collected from users via the web.
Gruenstein et al. (Mon,) studied this question.
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