Abstract: Various examples describe interfacing at least one computing device to a plurality of human users. An interface system may receive goal data describing a shared goal shared by a plurality of users and transaction data describing a first transaction made by a first user of the plurality of users. The interface system may also receive, from a user computing device, audio data describing speech of the first user and of a second user. The interface system may extract a first word from the audio data and detect a conflict between at least two of the plurality of users based at least in part on the goal data, the transaction data, and the first word. The interface system may further determine a mediation routine for the conflict based at least in part on the goal data, the transaction data, and the first word, and execute the mediation routine.

Abstract: Among other things, embodiments of the present disclosure can help improve the functionality of virtual assistant (VA) systems by determining filtering criteria that applies to inputs received by the system, and storing information associated with the inputs (and controlling access to such information by different users of the VA system) in accordance with the filtering criteria.

Abstract: Among other things, embodiments of the present disclosure can help improve the functionality of virtual assistant (VA) systems by identifying various goals for a user (e.g., with regard to the user's employment, fitness, health, finances, etc.) and steps that can be taken by the user and/or the VA to achieve such goals. Additionally, embodiments of the present disclosure help users track progress on their goals and provide recommendations and information to help users achieve their goals.

Abstract: Among other things, embodiments of the present disclosure can help improve the functionality of virtual assistant (VA) systems by implementing privacy controls that protect the gathering and storage of information via the VA. The VA systems of the present disclosure may also adapt its responses to users based on such privacy controls.

Abstract: Among other things, embodiments of the present disclosure can help improve the functionality of virtual assistant (VA) systems by recognizing and tracking a user's mood and adapting its responses accordingly. Embodiments of the present disclosure may utilize data in real-time or near-real-time to identify a user's mood, as well as tracking a user's preferences and reactions in past interactions with the VA or in other contexts.

Abstract: In a telecommunication switching system, incoming calls of various call types directed to a group of associated subscriber terminals are queued by call type and distributed on a priority basis. A separate queue is created for each call type and a table is provided which defines a number of priority levels and the call types to be served in each priority level. A priority frequency array is used for each of the terminals to assure that each terminal serves calls at the various priority levels with a prescribed frequency. When calls of different types but having the same priority level are waiting to be served, the oldest call will be selected on the basis of a time-of-day stamp recorded with each call on queue.