Adaptive and multimodal interaction in the vehicle

摘要: In this paper, a system architecture for personalized and user-adaptive information presentation is described. order to reduce cognitive load, interaction done at multimodal interface using visual speech as output channels, manual input channels. Most recent from the Internet can be queried by natural language question-answering dialogs frame-based dialog management. A fuzzy recommendation approach described in detail used structuring content items according user preferences. addition such list of topic areas an initial choice, adaptive ranking applied acoustical output. The item that relates best driver's preferences read out first text-to-speech. Therefore, presented are ought high interest. Cognitive load potentially further decreased our task choosing one sequence alternatives working memory. choice immediately performed using. barge-in feature.