A virtual space management unit 60 generates a virtual space information and manages the virtual space information. An icon position acquisition unit 61 acquires icon position information of each of the users U. A transmission-side voice acquisition unit 62 acquires a transmission-side voice information. A distance calculation unit 63 calculates a distance between each of the icons based on a position within the virtual space of the icons corresponding to each of the users U. A correction factor determination unit 64 determines a correction factor of an output information based on the distance between the icons calculated by the distance calculation unit 63. A reception-side voice transmission control unit 65 transmits the acquired transmission-side voice information and the determined correction factor to each of the second user terminals 3.

Edge node networks can be utilized to facilitate predictive access to content for a wide variety of applications. For example, predictive data can be generated based on historical patterns, audio data, calendar invites, etc. The predictive data can include predicted locations, persons present based on usage of their mobile device, edge node and access point usage, etc. The predicted data can be used to facilitate more efficient access to content by proactively sending mobile application and/or content usage data to edge node equipment that is predicted to be used in accordance with a predicted a predicted event. Furthermore, the predictive analysis can be used to modify mobile screens for quicker access to content and/or mobile applications.

Presented herein are systems and methods that allow for capturing metadata associated with a drag-and-drop action. The metadata includes information about a participant of at least two participants connected, by a collaboration server, to a collaboration session via respective devices. The system and methods further introduce the concept of a meeting board. The collaboration server distributes to the respective devices media stream data representing a main display area and the meeting board section in a user interface screen associated with the collaboration session. Content items of the collaboration session are sequentially displayed in the main display area throughout the collaboration session and a portion of a content item that is drag-and-dropped from the main display area into the meeting board section remains on the meeting board section throughout the collaboration session.

An illustrative communication provider system presents, to a first user, a communication interface that displays a two-dimensional (“2D”) representation of a shared virtual space that includes a 2D representation of an avatar associated with a second user. By way of the communication interface, the communication provider system receives a request by the first user to initiate a communication session of a particular communication type with the second user, and, based on the request, initiates the communication session of the particular communication type with the second user. During the initiated communication session and based on the particular communication type, the communication provider system replaces the 2D representation of the shared virtual space with a three-dimensional (“3D”) representation of the shared virtual space that includes a 3D representation of the avatar associated with the second user. Corresponding methods and systems are also disclosed.

Methods and systems are disclosed herein for using anomaly detection in timeseries data of user sentiment to detect incidents in computing systems and identify events within an enterprise. An anomaly detection system may receive social media messages that include a timestamp indicating when each message was published. The system may generate sentiment identifiers for the social media messages. The sentiment identifiers and timestamps associated with the social media messages may be used to generate a timeseries dataset for each type of sentiment identifier. The timeseries datasets may be input into an anomaly detection model to determine whether an anomaly has occurred. The system may retrieve textual data from the social media messages associated with the detected anomaly and may use the text to determine a computing system or event associated with the detected anomaly.

A virtual meeting system is discussed herein. An online meeting application can provide a parallel virtual meeting between or among two or more participants of a main virtual meeting. The parallel virtual meeting permits two or more participants of the main virtual meeting to have a “smaller-sized” meeting in parallel with the main virtual speaker or presentation while still participating in the main virtual meeting. Therefore, the participants of the parallel virtual meeting do not have to connect via another device or application and can avoid disrupting the main virtual meeting. The parallel virtual meeting can permit two separate meetings, such as one meeting with all participants and one meeting with a subset of all the participants.

Access to functionality of a software service is enabled at a first device associated with a user based on the first device being in a primary mode. A connection may thereafter be established between the software service and a second device associated with the same user. In response to that connection, access to a subset of the functionality of the software service is limited at the second device based on the second device being in a secondary mode determined based on the second device. Because the first device and the second device are used by the same user, the software service does not represent those devices as separate users of the software service, but rather identifies only the first device, as the primary mode device, in connection with the user to other users of the software service.

Methods and systems provide for a spatialized display of chat messages within a messaging platform. First, the system displays, for each of a number of participants within a messaging session, a spatial chat user interface (hereinafter “UI”) consisting of: a virtual background; and one or more spatialized avatars representing the participants. The system receives initial chat messages sent by a participant from the plurality of participants, then displays, adjacent to each of a subset of the spatialized avatars, one or more initial chat bubbles corresponding to messages sent by one or more of the participants represented by the subset of the spatialized avatars. Concurrently or subsequently, the system displays one or more other participant chat bubbles. The system receives additional chat messages sent by the participant, and then displays the additional chat bubbles, repositioning the initial chat bubbles while the additional chat bubbles are displayed in their place.

Methods and systems provide for a spatial chat view dashboard within a messaging platform. A system displays, at a client device, a dashboard user interface for a messaging platform, consisting of at least a dashboard virtual background and one or more spatial chat rooms. Each of the spatial chat rooms is a spatial representation of a chat session associated with a number of participants. The system receives, from the client device, a selection of a spatial chat room from the one or more spatial chat rooms. The system then displays a spatial chat user interface comprising the selected spatial chat room.

Methods and systems provide dynamic background selection in a chat interface. First, the system receives metadata about a chat session comprising a number of participants. The system then determines a virtual background based on one or more background selection criteria and at least a subset of the metadata about the chat session. Finally, the system displays, for each of the participants in the chat session, a spatial chat user interface including the determined virtual background, with the one or more spatialized avatars overlaid on the virtual background and positioned spatially within it.