We present initial results from an evaluation of a multimodal interface for a mobile route guidance application providing public transport information in Finland. The application includes a range of input and output modalities, such as speech input and output, a fisheye GUI, and contextual predictive text input. The application has been in public pilot use for almost a year. In this paper we present results from a formal user evaluation, focusing on predictive text input and speech input and output. Speech input outperformed other input methods, even with high error rates and slow response times. However, the domain specific predictive text input was the preferred method, surpassing users' expectations.
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