CONTENT SELECTION DISAMBIGUATION

• US 20150212697A1
• Filed: 10/05/2012
• Published: 07/30/2015
• Est. Priority Date: 10/05/2011
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: NORDSTROM, Paul
• Granted Patent: US 10,013,152 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/972 Access to data in other repository systems, e.g. legacy data or dynamic Web page generation
• CPC Class Codes: G06F 3/0482 Interaction with lists of selectable items, e.g. menus
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06F 3/04883 for inputting data by handwriting, e.g. gesture or text
• CPC Class Codes: G06F 40/134 Hyperlinking
• CPC Class Codes: G06F 40/166 Editing, e.g. inserting or deleting
• CPC Class Codes: G06F 40/295 Named entity recognition
• CPC Class Codes: G06F 9/451 Execution arrangements for user interfaces

Abstract

Computer-implemented methods for selecting displayed content are provided. In one aspect, a method includes receiving a selection request for content displayed on a device, and predicting, while receiving the selection request, content intended to be selected based on at least one of a visual cue, historic cue, semantic term, or user habit. The method also includes selecting the predicted content displayed on the device. Systems and machine-readable storage media are also provided.

Claims

1. A computer-implemented method for selecting displayed content, the method comprising:

receiving a selection request for content displayed on a device;

predicting, while receiving the selection request, content intended to be selected based on a semantic term comprising at least one identifier for an entity identifiable from the content displayed on the device, and at least one of a visual cue, historic cue, or user habit; and

selecting the predicted content displayed on the device,

wherein the entity is identified as a specific person, specific place, or specific physical object and wherein the entity is associated with a weight value indicating a likelihood that the entity is a referent of the content intended to be selected.

2. The computer-implemented method of claim 1, wherein the visual cue comprises at least one of a font, white space, text shape, image shape, velocity of a touch input, punctuation, or edge.

3. The computer-implemented method of claim 1, wherein the historic cue comprises a previous selection of the content by a user.

5. The computer-implemented method of claim 1, further comprising providing, for display, a visual indicator of the at least one identifier for the entity.

6. The computer-implemented method of claim 1, wherein the user habit comprises at least one geometric shape associated with an amount of content to be selected.

7. The computer-implemented method of claim 6, wherein the at least one geometric shape is associated with the amount of content to be selected by at least one a previous selection of the amount of content by a user using the at least one geometric shape, or by an instruction from the user to associate the at least one geometric shape with the amount of content to be selected.

8. The computer-implemented method of claim 1, wherein the selection request comprises at least one of a substantially straight line or a substantially arc-shaped line.

9. The computer-implemented method of claim 1, wherein the selection request is received as a touch input.

10. The computer-implemented method of claim 1, further comprising:

providing, for display, a first visual indicator for the selection request; and

providing, for display, a second visual indicator for the predicted content.

4. (canceled)

11. A system for selecting displayed content, the system comprising:

a memory comprising user-selectable content displayable on a device; and

a processor configured to;

receive a selection request for the content;

predict, while receiving the selection request, content intended to be selected based on a semantic term comprising at least one identifier for an entity identifiable from the content displayed on the device, and at least one of a visual cue, historic cue, or user habit; and

select the predicted content,

wherein the selection request comprises at least one of a substantially straight line or a substantially arc-shaped line, and

wherein the entity is identified as a specific person, specific place, or specific physical object and wherein the entity is associated with a weight value indicating a likelihood that the entity is a referent of the content intended to be selected.

12. The system of claim 11, wherein the visual cue comprises at least one of a font, white space, text shape, image shape, velocity of a touch input, punctuation, or edge.

13. The system of claim 11, wherein the historic cue comprises a previous selection of the content by a user.

15. The system of claim 11, wherein the processor is further configured to provide, for display, a visual indicator of the at least one identifier for the entity.

16. The system of claim 11, wherein the user habit comprises at least one geometric shape associated with an amount of content to be selected.

17. The system of claim 16, wherein the at least one geometric shape is associated with the amount of content to be selected by at least one a previous selection of the amount of content by a user using the at least one geometric shape, or by an instruction from the user to associate the at least one geometric shape with the amount of content to be selected.

18. The system of claim 11, wherein the selection request is received as a touch input.

19. The system of claim 11, wherein the processor is further configured to:

provide, for display, a first visual indicator for the selection request; and

provide, for display, a second visual indicator for the predicted content.

14. (canceled)

20. A non-transitory machine-readable storage medium comprising machine-readable instructions for selecting displayed content, the method comprising:

receiving a touch input selection request for content displayed on a device;

providing, for display, a first visual indicator for the selection request;

predicting, while receiving the selection request, content intended to be selected based on a semantic term comprising at least one identifier for an entity identifiable from the content displayed on the device, and at least one of a visual cue, historic cue, or user habit;

selecting the predicted content displayed on the device; and

providing, for display, a second visual indicator for the predicted content,

wherein the selection request comprises at least one of a substantially straight line or a substantially arc-shaped line, and

wherein the entity is identified as a specific person, specific place, or specific physical object and wherein the entity is associated with a weight value indicating a likelihood that the entity is a referent of the content intended to be selected.