Abstract: A system, a non-transitory machine-readable storage medium storing instructions, and a computer-implemented method to adjust twitch response and collision determination to a player's skill level is provided. Gameplay information of a computer-implemented game is accessed. The gameplay information including input information indicating one or more attributes of gameplay input provided by the player. A gameplay skill level of the player of the player is estimated based on the one or more gameplay input attributes. Based on the estimated gameplay skill level of the player, respective values of one or more gameplay parameters that determine on-screen behavior of virtual in-game objects are modified, thereby a gameplay difficulty level is modified.

Abstract: A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein for a System Tuner for customizing a player's experience. A System Tuner selects a hardness quotient, based on a player skill level, from a hardness quotient range, the player skill level for a player is calculated by a client computing device based at least on a plurality of game moves in a first game level completed by the player. The System Tuner provides the hardness quotient to a level definition file for a second game level. The level definition file modifies at least one feature of the second game level according to the hardness quotient. The System Tuner modifies the hardness quotient range based at least on a performance of the plurality of player's in the second game level and the respective hardness quotients assigned to each of those players for their game play in the second game level.

Abstract: Provided are computer-implemented methods and systems for implementing and utilizing an audio and visual asset matching platform. The audio and visual asset matching platform may include a first interface, a digital asset creation platform, an asset matching engine, and a user feedback engine. The first interface may be configured to select at least one master digital asset. The digital asset creation platform may be configured to create digital assets, the digital assets comprising at least one of text, audio, image, video, 3D/4D virtual environments, and animation files and metadata. The asset matching engine may be configured to match digital assets and generate at least one output digital asset. The user feedback engine may be configured to monitor and analyze behavior in response to receipt of at least one output digital asset and generate feedback metrics to improve the matching of the asset matching engine.

Abstract: A system, a non-transitory machine-readable storage medium storing instructions, and a computer-implemented method to adjust twitch response and collision determination to a player's skill level is provided. Gameplay information of a computer-implemented game is accessed. The gameplay information including input information indicating one or more attributes of gameplay input provided by the player. A gameplay skill level of the player of the player is estimated based on the one or more gameplay input attributes. Based on the estimated gameplay skill level of the player, respective values of one or more gameplay parameters that determine on-screen behavior of virtual in-game objects are modified, thereby a gameplay difficulty level is modified.

Abstract: Provided are computer-implemented methods and systems for implementing and utilizing an audio and visual asset matching platform. The audio and visual asset matching platform may include a first interface, a digital asset creation platform, an asset matching engine, and a user feedback engine. The first interface may be configured to select at least one master digital asset. The digital asset creation platform may be configured to create digital assets, the digital assets comprising at least one of text, audio, image, video, 3D/4D virtual environments, and animation files and metadata. The asset matching engine may be configured to match digital assets and generate at least one output digital asset. The user feedback engine may be configured to monitor and analyze behavior in response to receipt of at least one output digital asset and generate feedback metrics to improve the matching of the asset matching engine.

Abstract: A system, a non-transitory machine-readable storage medium storing instructions, and a computer-implemented method to adjust twitch response and collision determination to a player's skill level is provided. Gameplay information of a computer-implemented game is accessed. The gameplay information including input information indicating one or more attributes of gameplay input provided by the player. A gameplay skill level of the player of the player is estimated based on the one or more gameplay input attributes. Based on the estimated gameplay skill level of the player, respective values of one or more gameplay parameters that determine on-screen behavior of virtual in-game objects are modified, thereby a gameplay difficulty level is modified.

Abstract: A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein for a System Tuner for customizing a player's experience. A System Tuner selects a hardness quotient, based on a player skill level, from a hardness quotient range, the player skill level for a player is calculated by a client computing device based at least on a plurality of game moves in a first game level completed by the player. The System Tuner provides the hardness quotient to a level definition file for a second game level. The level definition file modifies at least one feature of the second game level according to the hardness quotient. The System Tuner modifies the hardness quotient range based at least on a performance of the plurality of player's in the second game level and the respective hardness quotients assigned to each of those players for their game play in the second game level.

Abstract: Provided are computer-implemented methods and systems for implementing and utilizing an audio and visual asset matching platform. The audio and visual asset matching platform may include a first interface, a digital asset creation platform, an asset matching engine, and a user feedback engine. The first interface may be configured to select at least one master digital asset. The digital asset creation platform may be configured to create digital assets, the digital assets comprising at least one of text, audio, image, video, 3D/4D virtual environments, and animation files and metadata. The asset matching engine may be configured to match digital assets and generate at least one output digital asset. The user feedback engine may be configured to monitor and analyze behavior in response to receipt of at least one output digital asset and generate feedback metrics to improve the matching of the asset matching engine.

Abstract: Provided are computer-implemented methods and systems for implementing and utilizing an audio and visual asset matching platform. The audio and visual asset matching platform may include a first interface, a digital asset creation platform, an asset matching engine, and a user feedback engine. The first interface may be configured to select at least one master digital asset. The digital asset creation platform may be configured to create digital assets, the digital assets comprising at least one of text, audio, image, video, 3D/4D virtual environments, and animation files and metadata. The asset matching engine may be configured to match digital assets and generate at least one output digital asset. The user feedback engine may be configured to monitor and analyze behavior in response to receipt of at least one output digital asset and generate feedback metrics to improve the matching of the asset matching engine.

Abstract: A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein for a System Tuner for customizing a player's experience. A System Tuner selects a hardness quotient, based on a player skill level, from a hardness quotient range, the player skill level for a player is calculated by a client computing device based at least on a plurality of game moves in a first game level completed by the player. The System Tuner provides the hardness quotient to a level definition file for a second game level. The level definition file modifies at least one feature of the second game level according to the hardness quotient. The System Tuner modifies the hardness quotient range based at least on a performance of the plurality of player's in the second game level and the respective hardness quotients assigned to each of those players for their game play in the second game level.

Abstract: Embodiments of the present technology provide systems and methods for creating digital advertisements using an advertisement creation and auction platform. Systems may comprise a first interface configured to select content to be used in creating a digital advertisement and to receive input from an advertiser, the input comprising advertisement campaign objectives and an audio clip asset creation engine configured to create a plurality of audio clip assets. Systems may further comprise a digital advertisement creation engine configured to automatically select an audio clip asset of the plurality of audio clip assets based on the advertisement campaign objectives, merge the audio clip asset with the content, and generate the digital advertisement. Systems may also include a user feedback engine configured to monitor and analyze user behavior in response to the digital advertisement and generate feedback metrics to improve the digital advertisement.

Abstract: A system, a non-transitory machine-readable storage medium storing instructions, and a computer-implemented method to adjust twitch response and collision determination to a player's skill level is provided. Gameplay information of a computer-implemented game is accessed. The gameplay information including input information indicating one or more attributes of gameplay input provided by the player. A gameplay skill level of the player of the player is estimated based on the one or more gameplay input attributes. Based on the estimated gameplay skill level of the player, respective values of one or more gameplay parameters that determine on-screen behavior of virtual in-game objects are modified, thereby a gameplay difficulty level is modified.

Abstract: Provided are computer-implemented methods and systems for implementing and utilizing an audio and visual asset matching platform. The audio and visual asset matching platform may include a first interface, a digital asset creation platform, an asset matching engine, and a user feedback engine. The first interface may be configured to select at least one master digital asset. The digital asset creation platform may be configured to create digital assets, the digital assets comprising at least one of text, audio, image, video, 3D/4D virtual environments, and animation files and metadata. The asset matching engine may be configured to match digital assets and generate at least one output digital asset. The user feedback engine may be configured to monitor and analyze behavior in response to receipt of at least one output digital asset and generate feedback metrics to improve the matching of the asset matching engine.

Abstract: Provided are computer-implemented methods and systems for implementing and utilizing an audio and visual asset matching platform. The audio and visual asset matching platform may include a first interface, a digital asset creation platform, an asset matching engine, and a user feedback engine. The first interface may be configured to select at least one master digital asset. The digital asset creation platform may be configured to create digital assets, the digital assets comprising at least one of text, audio, image, video, 3D/4D virtual environments, and animation files and metadata. The asset matching engine may be configured to match digital assets and generate at least one output digital asset. The user feedback engine may be configured to monitor and analyze behavior in response to receipt of at least one output digital asset and generate feedback metrics to improve the matching of the asset matching engine.

Abstract: A system, a non-transitory machine-readable storage medium storing instructions, and a computer-implemented method to adjust twitch response and collision determination to a player's skill level is provided. Gameplay information of a computer-implemented game is accessed. The gameplay information including input information indicating one or more attributes of gameplay input provided by the player. A gameplay skill level of the player of the player is estimated based on the one or more gameplay input attributes. Based on the estimated gameplay skill level of the player, respective values of one or more gameplay parameters that determine on-screen behavior of virtual in-game objects are modified, thereby a gameplay difficulty level is modified.

Abstract: A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein for a System Tuner for customizing a player's experience. A System Tuner selects a hardness quotient, based on a player skill level, from a hardness quotient range, the player skill level for a player is calculated by a client computing device based at least on a plurality of game moves in a first game level completed by the player. The System Tuner provides the hardness quotient to a level definition file for a second game level. The level definition file modifies at least one feature of the second game level according to the hardness quotient. The System Tuner modifies the hardness quotient range based at least on a performance of the plurality of player's in the second game level and the respective hardness quotients assigned to each of those players for their game play in the second game level.

Abstract: A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein for a System Tuner for customizing a player's experience. A System Tuner selects a hardness quotient, based on a player skill level, from a hardness quotient range, the player skill level for a player is calculated by a client computing device based at least on a plurality of game moves in a first game level completed by the player. The System Tuner provides the hardness quotient to a level definition file for a second game level. The level definition file modifies at least one feature of the second game level according to the hardness quotient. The System Tuner modifies the hardness quotient range based at least on a performance of the plurality of player's in the second game level and the respective hardness quotients assigned to each of those players for their game play in the second game level.

Abstract: A system, a non-transitory machine-readable storage medium storing instructions, and a computer-implemented method to adjust twitch response and collision determination to a player's skill level is provided. Gameplay information of a computer-implemented game is accessed. The gameplay information including input information indicating one or more attributes of gameplay input provided by the player. A gameplay skill level of the player of the player is estimated based on the one or more gameplay input attributes. Based on the estimated gameplay skill level of the player, respective values of one or more gameplay parameters that determine on-screen behavior of virtual in-game objects are modified, thereby a gameplay difficulty level is modified.

Abstract: A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein for a System Tuner for customizing a player's experience. A System Tuner selects a hardness quotient, based on a player skill level, from a hardness quotient range, the player skill level for a player is calculated by a client computing device based at least on a plurality of game moves in a first game level completed by the player. The System Tuner provides the hardness quotient to a level definition file for a second game level. The level definition file modifies at least one feature of the second game level according to the hardness quotient. The System Tuner modifies the hardness quotient range based at least on a performance of the plurality of player's in the second game level and the respective hardness quotients assigned to each of those players for their game play in the second game level.