Titlebook: Spoken Dialogue Systems for Ambient Environments; Second International Gary Geunbae Lee,Joseph Mariani,Satoshi Nakamura Conference proceedi

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/s/image/874550.jpg

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https://doi.org/10.1007/978-3-642-16202-2Bayesian network; Interaction; cognition; conflict description; control; database; dialogue management; inf

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A User Model to Predict User Satisfaction with Spoken Dialog Systems which impacting her emotional state. In defining the model we follow the PSI theory by D?rner [1] and identify . and . as relevant needs in this context. By analysis of questionnaires we show that such needs impact the users overall opinion of the system. Furthermore, relations to interaction parameters are analyzed.

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e-knowledge of the location and width of the layers. We also show that other choices of the grid distributions lead to a substantial degradation of the accuracy. Numerical results illustrate the effectiveness of the proposed higher order adaptive numerical strategy for both linear and nonlinear SPBV

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Senthilkumar Chandramohan,Olivier Pietquinn construct the smooth version. We construct a series of groups . corresponding to Pachner moves of (.???2)-dimensional manifolds and construct a canonical map from the braid group of any .-dimensional manifold to . thus getting topological/smooth invariants of these manifolds.

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