Systems and methods are described herein for monitoring a gameplay session for violations of a policy and creating a remediation gameplay session through which remediation can be provided to players or player accounts that violate gameplay policies. The systems and methods can create a remediation gameplay session based in part on the game state data of the gameplay session during which the violation occurs.

Systems and methods are described herein for monitoring a gameplay session for violations of a policy and creating a remediation gameplay session through which remediation can be provided to players or player accounts that violate gameplay policies. The systems and methods can create a remediation gameplay session based in part on the game state data of the gameplay session during which the violation occurs.

Computer-implemented systems and methods are provided for tracking user activity and managing quests. By way of example, a method may include receiving, from a website server, first identity data representing an identity of a user and data identifying a quest activated by the user, the quest comprising one or more activities to be performed at a physical location, and receiving, from at least one reporting device, second identity data representing the identity of the user at the physical location, and activity tracking data in response to the user performing an activity associated with the quest at the physical location. The method may also include identifying the user and the quest activated by the user based on the first identity data and data identifying the quest, further identifying the user and activity data related to the quest based on the second identity data and activity tracking data, and monitoring a progress of the user.

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.

A system and method for facilitating a user defined virtual space is disclosed. One or more virtual space locations and/or activities may be correlated with user specified geolocations. In some implementations, the user specified geolocations may be verified against one or more spatial requirements prior to recording the user selected space-geolocation correlations. A user request to initiate an action or activity in the virtual space may be received. Prior to executing the requested action or activity in the virtual space, the user current geolocation may be verified against that specified in a space-geolocation correlation corresponding to a virtual space location or activity indicated in the user request.

A system and method for facilitating a user defined virtual space is disclosed. One or more virtual space locations and/or activities may be correlated with user specified geolocations. In some implementations, the user specified geolocations may be verified against one or more spatial requirements prior to recording the user selected space-geolocation correlations. A user request to initiate an action or activity in the virtual space may be received. Prior to executing the requested action or activity in the virtual space, the user current geolocation may be verified against that specified in a space-geolocation correlation corresponding to a virtual space location or activity indicated in the user request.

Data processing/GUIs for NFT block chain data to “tell the story” of ownership or highlight “cool” aspects of a computer game-related NFT in simplified way. Machine learning (ML) may be used to boil down the complexity of data to what people need or want to understand. The displayed timeline of ownership as presented in a GUI can be interactive. Types of metadata to encapsulate in the NFT are discussed.

Data processing/GUIs for NFT block chain data to “tell the story” of ownership or highlight “cool” aspects of a computer game-related NFT in simplified way. Machine learning (ML) may be used to boil down the complexity of data to what people need or want to understand. The displayed timeline of ownership as presented in a GUI can be interactive. Types of metadata to encapsulate in the NFT are discussed.

A computer system for creating driving tournaments for users including a processor in communication with a memory device is provided. The processor may be programmed to: i) receive user data associated with a plurality of users, ii) generate, based at least in part upon the received user data, a driving profile including driving characteristics of each user, iii) match users based at least in part upon the driving profiles of the users, wherein a match occurs when driving characteristics of the driving profiles are substantially similar, iv) create a driving tournament for the matched one or more users, v) receive current vehicle telematics data and current mobile device data associated with the matched one or more users, and vi) determine, after the predetermined time period has ended, a winner of the driving tournament.

A computer system for creating driving tournaments for users including a processor in communication with a memory device is provided. The processor may be programmed to: i) receive user data associated with a plurality of users, ii) generate, based at least in part upon the received user data, a driving profile including driving characteristics of each user, iii) match users based at least in part upon the driving profiles of the users, wherein a match occurs when driving characteristics of the driving profiles are substantially similar, iv) create a driving tournament for the matched one or more users, v) receive current vehicle telematics data and current mobile device data associated with the matched one or more users, and vi) determine, after the predetermined time period has ended, a winner of the driving tournament.