Abstract: Exemplary embodiments relate to methods, mediums, and systems for providing group bots that participate in a conversation between multiple participants. Unlike conventional bots that typically interact with users on a one-on-one basis, the group bots may interact collectively with a group, allowing the bots to (among other things) arbitrate decisions for the group, suggest events that all of the members of the group would find agreeable, facilitate conversations by recognizing core language differences between group members and providing translations in response, etc. Furthermore, the group bot may be invoked directly from a group conversation using natural language, and may provide a response directly in the conversation. Because these capabilities are provided directly within a conversation thread, conversation participants can more readily use the bot capabilities without the need to access separate functionality.

Abstract: In one embodiment, a method includes receiving a first user input comprising a wake word associated with an assistant xbot from a first client system, setting the assistant xbot into a listening mode, wherein a continuous non-visual feedback is provided via the first client system while the assistant xbot is in the listening mode, receiving a second user input comprising a user utterance from the first client system while the assistant xbot is in the listening mode, determining the second user input has ended based on a completion of the user utterance, and setting the assistant xbot into an inactive mode, wherein the non-visual feedback is discontinued via the first client system while the assistant xbot is in the inactive mode.

Abstract: Exemplary embodiments relate to techniques for suggesting bots or mini-apps in a messaging service that provide capabilities related to an ongoing conversation. A suggestion may be added proactively or reactively. In a reactive scenario, the system may respond to an express request to suggest a response or capability, such as by an explicit command. In the proactive scenario, the messaging service may analyze the messages of the conversation, and may suggest a response or capability based on an intent identified in the messages. Examples of suggestions include starting a poll, adding stickers to the conversation, group coordination and planning capabilities, etc. Suggestions such as these allow a user to make use of various capabilities provided by the messaging service, even if the user does not know that the service exists, or how to invoke it.