Abstract: Various embodiments discussed herein enable client applications to be heavily integrated with a voice assistant in order to perform commands associated with voice utterances of users via voice assistant functionality and also seamlessly cause client applications to automatically perform native functions as part of executing the voice utterance. Such heavy integration also allows particular embodiments to support multi-modal input from a user for a single conversational interaction. In this way, client application user interface interactions, such as clicks, touch gestures, or text inputs are executed alternative or in addition to the voice utterances.

Abstract: Various embodiments discussed herein enable client applications to be heavily integrated with a voice assistant in order to both perform commands associated with voice utterances of users via voice assistant functionality and also seamlessly cause client applications to automatically perform native functions as part of executing the voice utterance. For example, some embodiments can automatically and intelligently cause a switch to a page the user needs and automatically and intelligently cause a population of particular fields of the page the user needs based on a user view context and the voice utterance.

Abstract: Various embodiments discussed herein enable client applications to be heavily integrated with a voice assistant in order to both perform commands associated with voice utterances of users via voice assistant functionality and also seamlessly cause client applications to automatically perform native functions as part of executing the voice utterance. For example, some embodiments can automatically and intelligently cause a switch to a page the user needs and automatically and intelligently cause a population of particular fields of the page the user needs based on a user view context and the voice utterance.

Abstract: Various embodiments discussed herein enable client applications to be heavily integrated with a voice assistant in order to both perform commands associated with voice utterances of users via voice assistant functionality and also seamlessly cause client applications to automatically perform native functions as part of executing the voice utterance. For example, some embodiments can automatically and intelligently cause a switch to a page the user needs and automatically and intelligently cause a population of particular fields of the page the user needs based on a user view context and the voice utterance.

Abstract: Various embodiments discussed herein enable client applications to be heavily integrated with a voice assistant in order to perform commands associated with voice utterances of users via voice assistant functionality and also seamlessly cause client applications to automatically perform native functions as part of executing the voice utterance. Such heavy integration also allows particular embodiments to support multi-modal input from a user for a single conversational interaction. In this way, client application user interface interactions, such as clicks, touch gestures, or text inputs are executed alternative or in addition to the voice utterances.

Abstract: Methods and systems are provided for generating personalized greetings for presentation by a personal digital assistant on a client device. An indication is received from the client device associated with the user that the personal digital assistant has been launched on the client device. User-specific information and contextual information is retrieved by querying a user profile database and one or more services. A personalized greeting engine utilizes the user-specific information, such as user inferences and interests, and the contextual information to generate the personalized greetings for presentation by the digital assistant on the client device.

Abstract: Examples of the disclosure provide a system and method for task completion using a digital assistant. Natural language data input is received and user intent associated with the natural language data input is identified. A structured query is generated for the natural language data input based on the identified user intent. A response to the structured query is received from a search engine and a determination is made as to whether the response includes one or more results. A result is selected for task completion based at least in part on user context, in response to a determination that the response includes one or more results.

Abstract: Methods and systems are provided for generating personalized greetings for presentation by a personal digital assistant on a client device. An indication is received from the client device associated with the user that the personal digital assistant has been launched on the client device. User-specific information and contextual information is retrieved by querying a user profile database and one or more services. A personalized greeting engine utilizes the user-specific information, such as user inferences and interests, and the contextual information to generate the personalized greetings for presentation by the digital assistant on the client device.