Adaptive Search Results Personalized by a Fuzzy Recommendation Approach

摘要: The cognitive load of the driver in future vehicles will be increased by a larger number integrated or connected devices and higher complexity applications covering various vehicle-related tasks other information. Aspects perception relevant to interaction design adaptive multimodal interfaces are discussed. We propose an extension system architecture for user-adaptive information presentation order cope with high interface. Visual speech used as output channels, manual input channels. In system, current from Internet can queried natural language question-answering dialogs using frame-based dialog management. A fuzzy recommendation approach is described detail structuring content items according user preferences. addition such personalized visual list topic areas initial choice, ranking applied acoustical output. item that relates best driver's preferences read out first text-to-speech. Therefore, presented ought interest. Cognitive potentially decreased our task choosing one sequence alternatives working memory. choice immediately performed barge-in feature.