Disclosed are a game special effect generation method and apparatus, and a storage medium and an electronic device, which belong to the technical field of game development. The method comprises: in response to a game running event, acquiring a picture file or a video file (S110), wherein sound spectrum information is stored in a color channel of the picture file or the video file; reading the sound spectrum information in the picture file or the video file (S120); and generating a special effect animation in a game according to the sound spectrum information (S130). (FIG. 1)

Systems and methods for implementing one or more game features across devices associated with a synchronous multimedia stream are disclosed. One method may include: transmitting interactive game features to multiple devices associated with a synchronous multimedia stream using a server in network communication with at least one database, the method comprising operations including: establishing, on the server, a virtual media streaming session; connecting two or more user profiles of a media streaming platform to the virtual media streaming session; providing, in the virtual media streaming session, an article of multimedia content, wherein the article of multimedia content is simultaneously viewable on user devices associated with each of the two or more user profiles; determining, using a processor associated with the server, whether one or more interactive game features associated with the article of multimedia content are activated; and implementing, responsive to determining that the one or more interactive game features are activated, aspects associated with the one or more interactive game features in the virtual media streaming session.

One embodiment is directed to a system for enabling two or more users to interact within a virtual world comprising virtual world data, comprising a computer network comprising one or more computing devices, the one or more computing devices comprising memory, processing circuitry, and software stored at least in part in the memory and executable by the processing circuitry to process at least a portion of the virtual world data; wherein at least a first portion of the virtual world data originates from a first user virtual world local to a first user, and wherein the computer network is operable to transmit the first portion to a user device for presentation to a second user, such that the second user may experience the first portion from the location of the second user, such that aspects of the first user virtual world are effectively passed to the second user.

A computer controller when in a normal orientation causes a first context of simulation play to be implemented. When inverted, the controller causes a second, different context of simulation play to be implemented.

Systems and methods for implementing one or more game features across devices associated with a synchronous multimedia stream are disclosed. One method may include: transmitting interactive game features to multiple devices associated with a synchronous multimedia stream using a server in network communication with at least one database, the method comprising operations including: establishing, on the server, a virtual media streaming session; connecting two or more user profiles of a media streaming platform to the virtual media streaming session; providing, in the virtual media streaming session, an article of multimedia content, wherein the article of multimedia content is simultaneously viewable on user devices associated with each of the two or more user profiles; determining, using a processor associated with the server, whether one or more interactive game features associated with the article of multimedia content are activated; and implementing, responsive to determining that the one or more interactive game features are activated, aspects associated with the one or more interactive game features in the virtual media streaming session.

The application describes techniques for adaptively setting a threshold that will be used to determine the gain applied to a haptics signal.

Aspects of the present disclosure relate to grounded multimodal agent interactions, where a natural language user input is processed using a multimodal machine learning model to generate model output. The model output may then be processed to affect the behavior of an application, for example to enable a user to control the application and/or to facilitate user interactions with a conversational agent, among other examples. In some instances, at least a part of the model output may be executed or parsed, for example to generate three dimensional objects within a coding application. Thus, use of a multimodal machine learning model according to aspects described herein may enable the use of user-provided natural language input to affect the behavior of an application accordingly.

Aspects of the present disclosure relate to grounded multimodal agent interactions, where a user input is processed using a multimodal machine learning model to generate model output. The model output may then be processed to affect the behavior of an application, for example to enable a user to control the application and/or to facilitate user interactions with a conversational agent, among other examples. In some instances, at least a part of the model output may be executed or parsed, for example to call an application programming interface or function of the application. Thus, use of a multimodal machine learning model according to aspects described herein may enable the use of user-provided natural language input to affect the behavior of an application accordingly.

Aspects of the present disclosure relate to grounded multimodal agent interactions, where a user input is processed using a multimodal machine learning model to generate model output. The model output may then be processed to affect the behavior of an application, for example to enable a user to control the application and/or to facilitate user interactions with a conversational agent, among other examples. In some instances, at least a part of the model output may be executed or parsed, for example to call an application programming interface or function of the application. Thus, use of a multimodal machine learning model according to aspects described herein may enable the use of user-provided natural language input to affect the behavior of an application accordingly.

Systems and methods for audio analytics and audio-based accessibility are provided. A user audio profile may be stored in memory for a user. The user audio profile may include a custom prioritization of one or more audio parameters associated with one or more audio modifications. Audio streams associated with a user device of the user may be monitored based on the user audio profile during a current session. The audio parameters may be detected as being present in the monitored audio streams, and the detected audio parameters may be prioritized based on the custom prioritization of the user audio profile. A sound property of at least one of the audio streams may be modified in real-time based on the prioritization of the detected audio parameters by applying the audio modifications of the user audio profile to the at least one audio stream before the at least one audio stream is provided to the user device.