# US 2025/0144512 A1 · Entertainment system for performing human intelligence tasks > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0144512 A1 - Document ID: US20250144512A1 - Status: Published application - Kind: A1 - Application number: 19/019,261 - Filed: 2025-01-13 - Published: 2025-05-08 - Earliest claimed: 2008-01-29 - Inventors: Gary Stephen SHUSTER - Web page: https://patentgrep.com/patent/US20250144512A1 ## CPC - A63F 13/12 - A63F 13/216: using geographical information, e.g. location of the game device or player using GPS - A63F 13/30: Interconnection arrangements between game servers and game devices; Interconnection arrangements between game devices; Interconnection arrangements between game servers - A63F 13/46: Computing the game score - A63F 13/63: by the player, e.g. authoring using a level editor - A63F 13/655: by importing photos, e.g. of the player - A63F 13/822: Strategy games; Role-playing games (A63F13/825, A63F13/828 take precedence) - A63F 13/837: Shooting of targets - A63F 2300/5526: Game data structure - A63F 2300/6009: for importing or creating game content, e.g. authoring tools during game development, adapting content to different platforms, use of a scripting language to create content - A63F 2300/69: Involving elements of the real world in the game world, e.g. measurement in live races, real video - A63F: CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR ## Abstract A game engine is configured to accept human intelligence tasks as in-game content and present the in-game content to the game player. A method performed by the game engine enables performance of human intelligence tasks, such as visual discrimination, in a video game context. The game engine may receive a definition of human intelligence tasks from one or more remote sources. The game engine may present the human intelligence tasks to multiple video game participants as in-game content. The game engine defines and enables game play rules for the in-game content. The game play rules set parameters for the multiple video game participants to perform the human intelligence tasks to achieve desired results. The game engine may award each of the multiple video game participants an improved game score upon successful performance of the human intelligence tasks in accordance with the game play rules. The game engine may measure success by consistency in responses between different participants or trials. ## Claims ### Claim 1 A system comprising: a server; one or more processors; a memory operably coupled to the server, the memory holding instructions that when executed by the one or more processors, cause the system to: send, to a client computer operated by a first person, identical digital image data at a plurality of times; receive, from a client computer, a characterization of the identical digital image data in response to at least two times such data was sent to the client computer; compare the characterizations to determine a level of consistency between responses; record one or both of the level of consistency or characterizations in a database; and indicate a correct result when one or both of the level of consistency or characterizations recorded in the database is a high degree of consistency. ### Claim 2 (depends on 1) The system of claim 1, where the level of consistency is recorded in the database. ### Claim 3 (depends on 1) The system of claim 1, where the characterizations are recorded in the database. ### Claim 4 (depends on 1) The system of claim 1, where images with a low level of consistency are identified. ### Claim 5 (depends on 4) The system of claim 4, where the identified images are marked for review. ### Claim 6 A system comprising: a server; one or more processors; a memory operably coupled to the server, the memory holding instructions that when executed by the one or more processors, cause the system to: send, to a plurality of client computers, substantially identical or identical digital image data; receive, from at least two of the plurality of client computers, an identification of the digital image data; compare the identifications to determine a level of consistency between identifications; indicate an incorrect result when the level of consistency between responses falls below a threshold and marking such images for identification using a different mode of identification. ### Claim 7 (depends on 6) The system of claim 6, where the level of consistency is recorded in a database. ### Claim 8 (depends on 6) The system of claim 6, where the identifications are recorded in the database. ### Claim 9 (depends on 6) The system of claim 6, where the image data is identical. ### Claim 10 (depends on 6) The system of claim 6, where the image data is substantially identical but not fully identical. ### Claim 11 (depends on 6) The system of claim 6, where the digital image data is a still image. ### Claim 12 (depends on 6) The system of claim 6, where the digital image data is a moving image. ### Claim 13 A system comprising: a server; one or more processors; a memory operably coupled to the server, the memory holding instructions that when executed by the one or more processors, cause the system to: send, to a plurality of client computers, substantially identical or identical digital image data; receive, from at least two of the plurality of client computers, an identification of the digital image data; compare the identifications to determine a level of consistency between identifications; record the level of consistency in a database, in a record associated with the digital image; select from the database, digital images with a low level of consistency; send at least one such image to a client computer; and permit a user of the client computer to undo an incorrect identification. ### Claim 14 (depends on 13) The system of claim 13, where the selected image with a low level of consistency is utilized in a game where an image difficult to identify is desired. ### Claim 15 (depends on 13) The system of claim 13, where the selected image with a low level of consistency is utilized in conjunction with images with a higher level of consistency in identification. ### Claim 16 (depends on 13) The system of claim 13, where the image data is identical. ### Claim 17 (depends on 13) The system of claim 13, where the image data is substantially identical but not fully identical. ### Claim 18 (depends on 13) The system of claim 13, where the digital image is a still image or a moving image ### Claim 19 (depends on 13) The system of claim 13, where the digital image data is a still image. ### Claim 20 (depends on 13) The system of claim 13, where the digital image data is a moving image.