Abstract: A system that teaches players gestures, for instance during the introduction of the game, and asks the player to invoke the gesture. Rather than asking the player to repeat over and over until the player succeeds, the game looks for commonality in the player's attempts, and after a small number of attempts, the game can learn how that player interprets the gesture given the player's own ability. The game can then adapt itself to look for that pattern to trigger the action.

Abstract: A method for modifying user sentiment is described. The method includes analyzing behavior of a group of players during a play of a game. The behavior of the group of players is indicative of a sentiment of the group of players during the play of the game. The method includes accessing a non-player character (NPC) during the play of the game. The NPC has a characteristic that influences a change in the sentiment of the group of players. The method includes placing the NPC into one or more scenes of the game during the play of the game for a period of time until the change in the sentiment of the group of players is determined. The change in the sentiment of the group of players is determined by analyzing of the behavior of the group of players during said play of the game.

Abstract: Techniques are described for smooth switchover of computer game control. The current states of game input is communicated to a new player assuming control. The new player is allowed time to catch up to the game. New player control is detected, and any errors are communicated to the new player. If there are differences between the old control scheme and that of the new player, they are reconciled. The outgoing player is adjusted to the transition.

Abstract: To protect a user's privacy by reducing a malicious developer's ability to eavesdrop on unwitting HMD users by converting signals from a motion sensor in the HMD to speech or speaker recognition, a microphone can record ambient sound and voice which is subtracted from the motion sensor data before the sensor data is made available to the game developer. In another technique, a band pass filter subtracts frequency in the sensor signals within the voice range. Still a third technique blends statistical noise into the motion sensor signal before passing to game developers to obfuscate the user's speech. The amount by which voice components in the motion signal are eliminated or obfuscated can be tuned by a person or app.

Abstract: To improve the fidelity of a motion sensor, voice-induced components in signals from the motion sensor as well as haptic-induced components in signals from the motion sensor are canceled prior to outputting the final motion signal to an app requiring knowledge of device motion, such as motion of a HMD for a computer game.

Abstract: A system that teaches players gestures, for instance during the introduction of the game, and asks the player to invoke the gesture. Rather than asking the player to repeat over and over until the player succeeds, the game looks for commonality in the player's attempts, and after a small number of attempts, the game can learn how that player interprets the gesture given the player's own ability. The game can then adapt itself to look for that pattern to trigger the action.

Abstract: A player who is interrupted during play of a computer simulation such as a computer game and must attend to other matters (colloquially referred to herein as being “away from keyboard” or “AFK”) is assisted in three phases. A first type of assistance is rendered when entering AFK, as in, at the start of the interruption. A second type of assistance is rendered during AFK, while the player is away. A third type of assistance is rendered when the player returns from AFK to the computer simulation.

Abstract: Privacy of a conversation between a computer game player and an entity such as a person or virtual assistant is preserved by various techniques so that other players of the computer game who are not part of the conversation cannot apprehend the conversation. The conversation may be voice or txt but is not an online chat associated with the computer game.

Abstract: Methods and systems are provided for verifying an input provided at a controller including detecting a finger gesture on a surface of the controller. Responsive to detecting the finger gesture, multi-modal data is collected from a plurality of sensors and components tracking the finger gesture. The multi-modal data is used to generate an ensemble model using machine learning algorithm. The ensemble model is trained in accordance to training rules defined for different finger gestures. An output is identified from the ensemble model for the finger gesture. The output is interpreted to define an input for an interactive application selected for interaction.

Abstract: A method for dynamic adjustment of interactive game play includes identifying a game session for a game played between first and second players, with the first and second players being connected from geographic locations having first and second elevations, respectively. The method also includes determining an objective in the game that the first and second players are predicted to achieve, and identifying a first path to be traversed by the first player to reach the objective in the game and identifying a second path to be traversed by the second player to reach the objective in the game. Each of the first and second paths includes a respective plurality of game actions to be accomplished by the first and second players. The method further includes adjusting a physical activity rating of select ones of the respective plurality of game actions based on a difference between the first and second elevations.

Abstract: Methods and systems are provided for augmenting image content presented on a mirror display. The method includes detecting images of a user in an activity volume in front of the mirror display; the detecting includes identifying a body of the user and tracking movements by the user while in the activity volume. The method includes receiving a request to predict a change in physique of the body of the user, the request includes input parameters that identify a physical exercise and an amount of said physical exercise. The method includes generating an augmented image of the body of the user; the augmented image of the body has said change in physique, the change in physique of the body is assembled from one or more three-dimensional (3D) models of one or more body parts of the body that have been adjusted in shape.

Abstract: A method is provided, including the following operations: monitoring gameplay activity in a plurality of game sessions, wherein the monitoring includes, for each game session, analyzing the gameplay activity in said game session to predict future gameplay activity in said game session; identifying one or more characteristics of a plurality of spectators interacting with a virtual character, wherein each of the spectators interacting with the virtual character accesses, over a network, a channel that is attributed to the virtual character; through the channel, providing access to the spectators to spectate a selected game session that is one of the plurality of game sessions, selected based on the predicted future gameplay activity and based on the characteristics of the plurality of spectators.

Abstract: A method for augmenting a real-world scene viewed through augmented reality (AR) glasses includes determining that an overlay should be processed for a real-world person being viewed via the AR glasses, with the determining using artificial intelligence (AI) to identify a trigger scenario. The AI is configured to process a video stream of images captured of the real-world person using a camera of the AR glasses to identify the trigger scenario, which is associated with an intensity level exhibited by the real-world person. The method also includes identifying the overlay to replace a portion of the real-world person in the video stream of images, and generating an augmented video stream that includes the video stream composited with the overlay. The augmented video stream being presented via the AR glasses is configured to adjust the intensity level exhibited by the real-world person when viewed via the AR glasses.

Abstract: Methods and systems are provided for generating augmented reality (AR) scenes where the AR scenes can be adjusted to modify at least part of an image of the physical features of a user to produce a virtual mesh of the physical features. The method includes generating an augmented reality (AR) scene for rendering on a display for a user wearing AR glasses, the AR scene includes a real-world space and virtual objects overlaid in the real-world space. The method includes analyzing a field of view into the AR scene from the AR glasses; the analyzing is configured to detect images of physical features of the user when the field of view is directed toward at least part of said physical features of the user.

Abstract: A method for dynamic adjustment of interactive game play includes identifying a game session for a game played between first and second players, with the first and second players being connected from geographic locations having first and second elevations, respectively. The method also includes determining an objective in the game that the first and second players are predicted to achieve, and identifying a first path to be traversed by the first player to reach the objective in the game and identifying a second path to be traversed by the second player to reach the objective in the game. Each of the first and second paths includes a respective plurality of game actions to be accomplished by the first and second players. The method further includes adjusting a physical activity rating of select ones of the respective plurality of game actions based on a difference between the first and second elevations.

Abstract: Systems and methods for facilitating secret communication between players are described. One of the methods includes receiving image data of a first player to identify one or more gestures and receiving input data indicating a response of a second player to the one or more gestures. The method further includes training a model using the image data and the input data to generate an inference of communication between the first user and the second user. The method also includes generating additional inferences of communication between the first user and the second user. The method includes generating a recommendation to the second user based on the inference of communication and the additional inferences of communication.

Abstract: Systems and methods for facilitating secret communication between players are described. One of the methods includes receiving image data of a first player to identify one or more gestures and receiving input data indicating a response of a second player to the one or more gestures. The method further includes training a model using the image data and the input data to generate an inference of communication between the first user and the second user. The method also includes generating additional inferences of communication between the first user and the second user. The method includes generating a recommendation to the second user based on the inference of communication and the additional inferences of communication.

Abstract: A method, including: executing a video game; enabling spectating of gameplay of the video game, over a network, by a plurality of spectators; receiving, over the network, comments from the spectators during the spectating of the video game; using a semantic analysis process to analyze the comments to determine content of the comments; responsive to the content of the comments, performing an action by a virtual character that is presented to the spectators.

Abstract: Systems and methods for facilitating secret communication between players are described. One of the methods includes receiving image data of a first player to identify one or more gestures and receiving input data indicating a response of a second player to the one or more gestures. The method further includes training a model using the image data and the input data to generate an inference of communication between the first user and the second user. The method also includes generating additional inferences of communication between the first user and the second user. The method includes generating a recommendation to the second user based on the inference of communication and the additional inferences of communication.

Abstract: A method, including: executing a video game; enabling spectating of gameplay of the video game, over a network, by a plurality of spectators; receiving, over the network, comments from the spectators during the spectating of the video game; using a semantic analysis process to analyze the comments to determine content of the comments; responsive to the content of the comments, performing an action by a virtual character that is presented to the spectators.