EXPERIENCE BASED GAME DEVELOPMENT AND METHODS FOR USE THEREWITH

    公开(公告)号:US20220226734A1

    公开(公告)日:2022-07-21

    申请号:US17657858

    申请日:2022-04-04

    申请人: modl.ai ApS

    IPC分类号: A63F13/69

    摘要: A game development platform operates by: updating a gaming application based on a play of the game by a non-imitating game bot to generate a first updated gaming application corresponding to a first updated game; generating an imitating game bot based on first game telemetry data generated in response to a play of the first updated game by a first plurality of actual players; generating behavioral experience analysis (BEA) data based on the play of the first updated game by the first plurality of actual players; generating a BEA tool based on the BEA data; updating the first updated gaming application based on play of the first updated game by the imitating game bot to generate a second updated gaming application corresponding to a second updated game; generating predicted player motivations via the BEA tool based on second game telemetry data generated in response to a play of the second updated game by a second plurality of actual players; and updating the second updated gaming application based on the predicted player motivations to generate a third updated gaming application corresponding to a third updated game.

    Experience based game development and methods for use therewith

    公开(公告)号:US11617954B2

    公开(公告)日:2023-04-04

    申请号:US17657858

    申请日:2022-04-04

    申请人: modl.ai ApS

    摘要: A game development platform operates by: updating a gaming application corresponding to a game based on game play by at least one non-imitating game bot to generate a first updated gaming application corresponding to a first updated game; generating an imitating game bot based on first game telemetry data generated in response to play of the first updated game by actual players; updating the first updated gaming application based on play of the first updated game by the imitating game bot to generate a second updated gaming application corresponding to a second updated game; generating motivation data indicating predicted player motivations based on second game telemetry data generated in response to play of the second updated game; and updating the second updated gaming application based on the motivation data to generate a third updated gaming application corresponding to a third updated game.

    Experience based game development and methods for use therewith

    公开(公告)号:US11331581B2

    公开(公告)日:2022-05-17

    申请号:US17146751

    申请日:2021-01-12

    申请人: modl.ai ApS

    IPC分类号: A63F13/69

    摘要: A game development platform operates by: updating a gaming application based on a play of the game by a non-imitating game bot to generate a first updated gaming application corresponding to a first updated game; generating an imitating game bot based on first game telemetry data generated in response to a play of the first updated game by a first plurality of actual players; generating behavioral experience analysis (BEA) data based on the play of the first updated game by the first plurality of actual players; generating a BEA tool based on the BEA data; updating the first updated gaming application based on play of the first updated game by the imitating game bot to generate a second updated gaming application corresponding to a second updated game; generating predicted player motivations via the BEA tool based on second game telemetry data generated in response to a play of the second updated game by a second plurality of actual players; and updating the second updated gaming application based on the predicted player motivations to generate a third updated gaming application corresponding to a third updated game.

    EXPERIENCE BASED GAME DEVELOPMENT AND METHODS FOR USE THEREWITH

    公开(公告)号:US20210146258A1

    公开(公告)日:2021-05-20

    申请号:US17146751

    申请日:2021-01-12

    申请人: modl.ai ApS

    IPC分类号: A63F13/69

    摘要: A game development platform operates by: updating a gaming application based on a play of the game by a non-imitating game bot to generate a first updated gaming application corresponding to a first updated game; generating an imitating game bot based on first game telemetry data generated in response to a play of the first updated game by a first plurality of actual players; generating behavioral experience analysis (BEA) data based on the play of the first updated game by the first plurality of actual players; generating a BEA tool based on the BEA data; updating the first updated gaming application based on play of the first updated game by the imitating game bot to generate a second updated gaming application corresponding to a second updated game; generating predicted player motivations via the BEA tool based on second game telemetry data generated in response to a play of the second updated game by a second plurality of actual players; and updating the second updated gaming application based on the predicted player motivations to generate a third updated gaming application corresponding to a third updated game.

    User experience modeling for gaming applications

    公开(公告)号:US11325048B2

    公开(公告)日:2022-05-10

    申请号:US16820146

    申请日:2020-03-16

    申请人: modl.ai ApS

    IPC分类号: A63F13/79

    摘要: In various embodiments, a method is presented that includes: generating, via a system including a processor, behavioral experience analysis (BEA) tools based on a preference learning model; receiving, via the system, game telemetry data from a gaming application; generating, via the system, a predicted user motivation by applying the BEA tools to the game telemetry data; and facilitating adaptation of the gaming application based on the predicted user motivation.

    USER EXPERIENCE MODELING FOR GAMING APPLICATIONS

    公开(公告)号:US20200298128A1

    公开(公告)日:2020-09-24

    申请号:US16820146

    申请日:2020-03-16

    申请人: modl.ai ApS

    IPC分类号: A63F13/79

    摘要: In various embodiments, a method is presented that includes: generating, via a system including a processor, behavioral experience analysis (BEA) tools based on a preference learning model; receiving, via the system, game telemetry data from a gaming application; generating, via the system, a predicted user motivation by applying the BEA tools to the game telemetry data; and facilitating adaptation of the gaming application based on the predicted user motivation.