Automatic generation of user experience mockups using adaptive gaze tracking

    公开(公告)号:US12190080B2

    公开(公告)日:2025-01-07

    申请号:US17884616

    申请日:2022-08-10

    Applicant: Kyndryl, Inc.

    Abstract: A user experience theme description is obtained, along with a new user experience feature image set. The theme description and new user experience feature image set are input into a generative adversarial network (GAN). The GAN is trained to output multiple user experience designs based on the new feature image set. The multiple designs are displayed on an electronic display device that includes an eye gaze tracking system. User interface elements and their corresponding positions within a user interface are identified based on eye gaze of a user towards the electronic display device. The position and type of user interface elements are compared between a desired user interface design and a generated user interface design. Errors between the desired user interface design and the generated user interface design are input as feedback into the GAN to further enhance the results.

    AUTOMATIC GENERATION OF USER EXPERIENCE MOCKUPS USING ADAPTIVE GAZE TRACKING

    公开(公告)号:US20240053964A1

    公开(公告)日:2024-02-15

    申请号:US17884616

    申请日:2022-08-10

    Applicant: Kyndryl, Inc.

    CPC classification number: G06F8/20 G06F3/013 G06F40/279

    Abstract: A user experience theme description is obtained, along with a new user experience feature image set. The theme description and new user experience feature image set are input into a generative adversarial network (GAN). The GAN is trained to output multiple user experience designs based on the new feature image set. The multiple designs are displayed on an electronic display device that includes an eye gaze tracking system. User interface elements and their corresponding positions within a user interface are identified based on eye gaze of a user towards the electronic display device. The position and type of user interface elements are compared between a desired user interface design and a generated user interface design. Errors between the desired user interface design and the generated user interface design are input as feedback into the GAN to further enhance the results.

    CONTEXTUAL POLICY-BASED COMPUTER VISION CONTROL

    公开(公告)号:US20220391625A1

    公开(公告)日:2022-12-08

    申请号:US17341602

    申请日:2021-06-08

    Applicant: KYNDRYL, INC.

    Abstract: A tool for providing contextual policy-based computer vision control. The tool identifies one or more camera devices in an environment. The tool determines a plurality of vision areas in a field of view within the environment. The tool determines one or more contextual policies for the plurality of vision areas in the field of view. The tool determines one or more vision augmentations for the plurality of vision areas based, at least in part, on an aggregate computer vision capability of the one or more camera devices in the environment and the one or more contextual policies for the plurality of vision areas in the field of view. The tool applies the one or more vision augmentations to at least one of the one or more camera devices in the environment.

    Self-sovereign data access via bot-chain

    公开(公告)号:US11431503B2

    公开(公告)日:2022-08-30

    申请号:US17118069

    申请日:2020-12-10

    Applicant: KYNDRYL, INC.

    Abstract: An approach for securely accessing self-sovereign data via a bot-chain ledger may be provided. A bot may request access to a piece distributed data at a bot-chain client. A bot registry service may validate the requesting bot is registered with the bot-ledgering client. The bot-ledgering client may generate a token for the requesting bot and provide the identity of a data bot with permission to access the piece of distributed data. A data bot may request to read the piece of distributed data at the bot-ledgering client. The bot-ledgering client may verify the data bot is registered with the bot-chain. The bot-ledgering client may generate an access token and send it to the data bot.

    Risk mitigation in service level agreements

    公开(公告)号:US12047254B2

    公开(公告)日:2024-07-23

    申请号:US17891411

    申请日:2022-08-19

    Applicant: Kyndryl, Inc.

    CPC classification number: H04L41/5006 H04L41/5009

    Abstract: A method of mitigating risks in a service level agreement (SLA), including: identifying relationships between an infrastructure and an application associated with the SLA; identifying changes to a technological environment of the SLA based on collected data associated with the SLA and the identified relationships, the collected data including the infrastructure and the application; establishing a baseline for a service level objective (SLO) of the SLA by analyzing the collected data of the infrastructure and the application; determining risk impact to the SLA based on an assessment of requirements to the SLO and the changes to the technological environment of the SLA; generating a solution option for the SLA by applying an explainable artificial intelligence (XAI) model based on processing the risk impact with the baseline in the XAI model; and updating the SLA based on the solution option.

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