During conversation, there is often little gap between interlocutors' utterances. In two pairs of experiments, we manipulated the content predictability of yes/no questions to investigate whether listeners achieve such coordination by (i) preparing a response as early as possible or (ii) predicting the end of the speaker's turn. To assess these two mechanisms, we varied the participants' task: ...

Optics parameters at the interaction point, beta, x-y coupling, dispersion and their chromatic aberrations, seriously affect the beam-beam performance as is shown in experiments and simulations. The control of the optics parameters is essential to maintain the high luminosity in KEKB. They drift day by day, or before and after the beam abort. They were often monitored at intervals of the operat...

Most existing Global Positioning System (GPS)-based vehicle navigation systems (also termed route guidance systems) utilize distance within their turn-by-turn navigation directions. For example, a system might give a voice instruction like ”turn left in 0.2 mile”. However, human drivers usually use landmarks to help their navigation. Some previous research has shown that there are performance-r...

Ionization profile monitors (IPMs) are installed in the Fermilab Booster, Main Injector and Tevatron. They are used routinely for injection matching measurements. For emittance measurements the IPMs have played a secondary role to the Flying Wires, with the exception of the Booster (where it is the only profile diagnostics). As Fermilab is refocusing its attention on the intensity frontier, non...

This paper presents an automatic speech recognition (ASR) system dedicated for meetings of the National Congress of Japan. The distinctive features of the congressional meeting speech are wide distribution and frequent change of topics. For more accurate transcription, such topics should be emphasized in a language model one after another. Therefore, we introduce two approaches for topic adapta...

We study correlations between dialog content and learning in a corpus of human-computer tutoring dialogs. Using an online encyclopedia, we first extract domainspecific concepts discussed in our dialogs. We then extend previously studied shallow dialog metrics by incorporating content at three levels of granularity (word, turn and discourse) and also by distinguishing between students’ spoken an...