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Context aware selection of multimodal conversational fillers in human robot dialogues Matthias Gale, Ekaterina Knew, Nicolas Monet and Christophe Legal Abstract We study the problem of handling the
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Context-aware selection of multi-modal refers to the ability of a system to dynamically choose the best mode of communication based on various context factors such as user preferences, network conditions, and device capabilities.
Organizations or individuals who are providing multi-modal communication services are required to file context-aware selection of multi-modal.
To fill out context-aware selection of multi-modal, one must provide information about the different modes of communication available, the factors considered for selecting a mode, and any specific guidelines or algorithms used for the selection process.
The purpose of context-aware selection of multi-modal is to enhance the user experience by ensuring that the most appropriate communication mode is chosen for each interaction.
The information that must be reported on context-aware selection of multi-modal includes the list of available communication modes, the criteria used for selecting a mode, and any relevant performance metrics.
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