Newness and distinctiveness is claimed in the features of ornamentation as shown inside the broken line circle in the accompanying representation.

Display screen or portion thereof with graphical user interface

An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Intelligent Automated Assistant

A mobile terminal including a body; a touchscreen provided to a front and extending to side of the body and configured to display content; and a controller configured to detect one side of the body comes into contact with one side of an external terminal, display a first area on the touchscreen corresponding to a contact area of the body and the external terminal and a second area including the content, receive an input of moving the content displayed in the second area to the first area, display the content in the first area, and share the content in the first area with the external terminal.

Mobile terminal and method for controlling the same

A smart phone senses audio, imagery, and/or other stimulus from a user's environment, and acts autonomously to fulfill inferred or anticipated user desires. In one aspect, the detailed technology concerns phone-based cognition of a scene viewed by the phone's camera. The image processing tasks applied to the scene can be selected from among various alternatives by reference to resource costs, resource constraints, other stimulus information (e.g., audio), task substitutability, etc. The phone can apply more or less resources to an image processing task depending on how successfully the task is proceeding, or based on the user's apparent interest in the task. In some arrangements, data may be referred to the cloud for analysis, or for gleaning. Cognition, and identification of appropriate device response(s), can be aided by collateral information, such as context. A great number of other features and arrangements are also detailed.

Intuitive computing methods and systems

Improved techniques for managing enterprise applications on mobile devices are described herein. Each enterprise mobile application running on the mobile device has an associated policy through which it interacts with its environment. The policy selectively blocks or allows activities involving the enterprise application in accordance with rules established by the enterprise. Together, the enterprise applications running on the mobile device form a set of managed applications. Managed applications are typically allowed to exchange data with other managed applications, but are blocked from exchanging data with other applications, such as the user's own personal applications. Policies may be defined to manage data sharing, mobile resource management, application specific information, networking and data access solutions, device cloud and transfer, dual mode application software, enterprise app store access, and virtualized application and resources, among other things.

Policy-Based Application Management

A virtual assistant uses context information to supplement natural language or gestural input from a user. Context helps to clarify the user's intent and to reduce the number of candidate interpretations of the user's input, and reduces the need for the user to provide excessive clarification input. Context can include any available information that is usable by the assistant to supplement explicit user input to constrain an information-processing problem and/or to personalize results. Context can be used to constrain solutions during various phases of processing, including, for example, speech recognition, natural language processing, task flow processing, and dialog generation.

Using context information to facilitate processing of commands in a virtual assistant

Methods, systems, and computer readable storage medium related to operating an intelligent digital assistant are disclosed. A text string is obtained from a speech input received from a user. Information is derived from a communication event that occurred at the electronic device prior to receipt of the speech input. The text string is interpreted to derive a plurality of candidate interpretations of user intent. One of the candidate user intents is selected based on the information relating to the communication event.

Intent deduction based on previous user interactions with voice assistant

Prioritizing selection criteria by automated assistant

Methods, systems, and computer readable storage medium related to operating an intelligent automated assistant are disclosed. A user request is received through a conversation interface of the intelligent automated assistant, the user request including at least a speech input received from a user. One or more candidate domains relevant to the user request are identified from a plurality of predefined domains, where each predefined domain presents a respective area of service offered by the intelligent automated assistant, and the identifying is based on respective degrees of match between words derived from the user request and words representing vocabulary and entities associated with each predefined domain. Feedback is provided to the user through the conversation interface of the intelligent automated assistant, where the feedback presents a paraphrase of the user request and elicits additional input from the user to specify one or more parameters associated with a particular candidate domain.

Active input elicitation by intelligent automated assistant

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