Titlebook: Spoken Multimodal Human-Computer Dialogue in Mobile Environments; W. Minker,Dirk Bühler,Laila Dybkjær Book 20051st edition Springer Scienc

FACET

Enhancing the Usability of Multimodal Virtual Co-driversw to make use of the in-car display in conjunction with spoken driver-system dialogue; (c) how to identify the present driver as a basis for building user models of the driver; and (d) how to create useful online adaptive user modelling of the driver.

内部

Effects of Prolonged Use on the Usability of a Multimodal Form-Filling Interfaced analysed in detail the changes in interaction patterns due to exposure. The study shows that with practice users learn to develop interaction patterns that ensure reliable and efficient interaction, resulting in decreased dialogue duration and more user satisfaction.

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Feature Functions for Tree-Based Dialogue Course Managemented are independent of the underlying domain and can therefore be employed for different applications of spoken dialogue systems. Experiments were performed on a German in-house corpus that covers the domain of a German telephone directory assistance.

Clinch

XISL: A Modality-Independent MMI Description Languagedocuments more reusable. We constructed three types of XISL execution systems, namely a PC terminal, a PDA terminal, and a mobile phone terminal, and show the descriptive power of XISL by implementing an online shopping application on these terminals.

Neuropeptides

Design, Implementation and Evaluation of the SENECA Spoken Language Dialogue Systemambiguities are compensated by engaging flexible clarification dialogues with the user. The SENECA system has been evaluated by means of user tests. With speech input, road safety, especially for complex tasks is significantly improved. The feeling of being distracted from driving is smaller with speech input than with manual input.

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胰脏

A Robust Multimodal Speech Recognition Method using Optical Flow Analysislow is defined as the distribution of apparent velocities in the movement of brightness patterns in an image. Since the optical flow is computed without extracting speaker‘s lip contours and location, robust visual features can be obtained for lip movements. Our method calculates a visual feature se

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