公开(公告)号：US20220245382A1

公开(公告)日：2022-08-04

申请号：US17165135

申请日：2021-02-02

Applicant: Google LLC

Inventor： Sneha Ashok ,  Huize Shi ,  Andreina Reyna

IPC: G06K9/00 ,  G06N20/00 ,  G06K9/46 ,  G10L13/033 ,  G06F40/242 ,  G06F3/01 ,  G06F3/16 ,  G10H1/00

Abstract: Methods, systems, devices, and tangible non-transitory computer readable media for generating assistive indications are provided. The disclosed technology can include accessing image data that includes at least one image. Character data can be generated based at least in part on the image data and one or more optical character recognition operations. Further, the character data can include one or more characters associated with the at least one image. One or more characters that are associated with one or more recognized words and the one or more characters that are associated with one or more unrecognized words can be determined based on the character data. One or more auditory indications including a synthetic voice reciting the one or more recognized words and the one or more unrecognized words can be generated. Furthermore, the synthetic voice can recite each of the one or more unrecognized words one character at a time.

公开(公告)号：US12271742B2

公开(公告)日：2025-04-08

申请号：US18230561

申请日：2023-08-04

Applicant: GOOGLE LLC

Inventor： Cliff Kuang ,  Diana Avram ,  Mugurel-Ionut Andreica ,  Radu Voroneanu ,  Sneha Ashok ,  Deepak Goyal ,  Kyunghoon Lee ,  Alice Liang ,  Dana Ritter ,  Adam Coimbra ,  Anton Berezin ,  Andre Elisseeff

IPC: G06F9/451 ,  G06F3/0482 ,  G06F3/0484

Abstract: Implementations relate to determining a rendering type for an application that is executing automatically. Based on user interactions with an application that is associated with specified input from the user while the user is interacting with the application, a confidence metric is generated for each specified input and a rendering type is determined based on the confidence metrics. Subsequently, when the user requests that a sequence of actions be performed, the application will be displayed according to the rendering type.

公开(公告)号：US20250045071A1

公开(公告)日：2025-02-06

申请号：US18230561

申请日：2023-08-04

Applicant: GOOGLE LLC

Inventor： Cliff Kuang ,  Diana Avram ,  Mugurel-Ionut Andreica ,  Radu Voroneanu ,  Sneha Ashok ,  Deepak Goyal ,  Kyunghoon Lee ,  Alice Liang ,  Dana Ritter ,  Adam Coimbra ,  Anton Berezin ,  Andre Elisseeff

IPC: G06F9/451 ,  G06F3/0482 ,  G06F3/0484

Abstract: Implementations relate to determining a rendering type for an application that is executing automatically. Based on user interactions with an application that is associated with specified input from the user while the user is interacting with the application, a confidence metric is generated for each specified input and a rendering type is determined based on the confidence metrics. Subsequently, when the user requests that a sequence of actions be performed, the application will be displayed according to the rendering type.

公开(公告)号：US20250044913A1

公开(公告)日：2025-02-06

申请号：US18230564

申请日：2023-08-04

Applicant: GOOGLE LLC

Inventor： Sneha Ashok ,  Cliff Kuang ,  Mugurel-Ionut Andreica

IPC: G06F3/0482 ,  G06F3/0488 ,  G06F9/451

Abstract: Implementations relate to providing a macro to a user to instruct the user regarding how to perform an action. When a user submits a request to perform an action, an option is provided that indicates a macro is available. Upon selecting the macro, one or more elements are displayed, with a corresponding application displayed in the background. The next element is displayed after a period of time, depending on the user familiarity with the action.

公开(公告)号：US11769323B2

公开(公告)日：2023-09-26

申请号：US17165135

申请日：2021-02-02

Applicant: Google LLC

Inventor： Sneha Ashok ,  Huize Shi ,  Andreina Reyna

IPC: G06V30/148 ,  G06V20/20 ,  G06N20/00 ,  G06F40/242 ,  G06F3/01 ,  G06F3/16 ,  G10H1/00 ,  G10L13/033 ,  G06V10/40 ,  G06V30/414

CPC classification number: G06V20/20 ,  G06F3/016 ,  G06F3/165 ,  G06F40/242 ,  G06N20/00 ,  G06V10/40 ,  G06V30/153 ,  G06V30/414 ,  G10H1/0008 ,  G10L13/033

Abstract: Methods, systems, devices, and tangible non-transitory computer readable media for generating assistive indications are provided. The disclosed technology can include accessing image data that includes at least one image. Character data can be generated based at least in part on the image data and one or more optical character recognition operations. Further, the character data can include one or more characters associated with the at least one image. One or more characters that are associated with one or more recognized words and the one or more characters that are associated with one or more unrecognized words can be determined based on the character data. One or more auditory indications including a synthetic voice reciting the one or more recognized words and the one or more unrecognized words can be generated. Furthermore, the synthetic voice can recite each of the one or more unrecognized words one character at a time.