公开(公告)号：US20250054406A1

公开(公告)日：2025-02-13

申请号：US18716425

申请日：2022-11-23

Applicant: BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY

Inventor： Tiago ANDRADE ,  Anasol PENA-RIOS ,  Max SMITH-CREASEY ,  Ozkan BAHCECI

IPC: G09B7/04

Abstract: User personality traits classification for adaptive virtual environments in non-linear story paths A method of providing adaptive training to a user in a training environment is provided. The method comprises generating, by a machine learning agent, a training scenario for a user, wherein the training scenario is generated based on a personality biometric profile and one or more personality characteristics of the user. The user is trained in a training session using the training scenario wherein, during the training session, the machine learning agent modifies the training scenario in real time based on user behavioural data that reflects the user's behaviour in the training session.

公开(公告)号：US20240153206A1

公开(公告)日：2024-05-09

申请号：US18550614

申请日：2022-03-10

Applicant: BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY

Inventor： Anasol PENA-RIOS ,  Anthony CONWAY ,  Gilbert OWUSU ,  Hugo LEON GARZA ,  Hani HAGRAS

IPC: G06T17/00 ,  G06V10/44 ,  G06V10/762 ,  G06V10/774 ,  G06V20/70 ,  G06V30/413 ,  G06V30/422

CPC classification number: G06T17/00 ,  G06V10/44 ,  G06V10/762 ,  G06V10/774 ,  G06V20/70 ,  G06V30/413 ,  G06V30/422 ,  G06T2210/04

Abstract: A computer implemented method to generate a three-dimensional (3D) data model of a two-dimensional (2D) floor plan, the floor plan being constituted as a digital image including indications of types of building elements, is disclosed.

公开(公告)号：US20250029510A1

公开(公告)日：2025-01-23

申请号：US18716458

申请日：2022-11-23

Applicant: BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY

Inventor： Tiago ANDRADE ,  Anasol PENA-RIOS ,  Max SMITH-CREASEY ,  Ozkan BAHCECI

IPC: G09B5/06

Abstract: A method for providing adaptive training to a user is provided. The method comprises receiving user biometric data from a plurality of user devices, and generating a personality biometric profile based on the user biometric data, where the personality biometric profile comprises one or more personality characteristics of the user based on the user biometric data. A training scenario is generated for the user based on the user biometric profile, and the user is trained using the generated training scenario in a training session, wherein user behavioural data is collected in real time during the training session. The user biometric profile is updated based on the collected user behavioural data, and the training scenario is updated for the user subsequent to the training session based on the updated user profile.