Content selection disambiguation

Patent metadata

Field	Value
Publication number	US-10013152-B2
Application number	US-201213646644-A
Country	US
Kind code	B2
Filing date	Oct 5, 2012
Priority date	Oct 5, 2011
Publication date	Jul 3, 2018
Grant date	Jul 3, 2018

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.

First claim

What is claimed is:

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.

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

5. 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.

6. The computer-implemented method of claim 5 , 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.

7. 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.

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

9. 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.

10. 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.

11. The system of claim 10 , 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.

12. The system of claim 10 , wherein the historic cue comprises a previous selection of the content by a user.

13. The system of claim 10 , wherein the processor is further configured to provide, for display, a visual indicator of the at least one identifier for the entity.

14. The system of claim 10 , wherein the user habit comprises at least one geometric shape associated with an amount of content to be selected.

15. The system of claim 14 , 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.

16. The system of claim 10 , wherein the selection request is received as a touch input.

17. The system of claim 10 , 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.

18. 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.

Assignees

• Google Inc
• Google Llc

Inventors

• Nordstrom Paul

Classifications

• G06F3/04883

  for inputting data by handwriting, e.g. gesture or text · CPC title

• G06F40/166

  Editing, e.g. inserting or deleting · CPC title

• G06F16/972

  Access to data in other repository systems, e.g. legacy data or dynamic Web page generation · CPC title

• G06F16/9535

  Search customisation based on user profiles and personalisation · CPC title

• G06F3/0482

  Interaction with lists of selectable items, e.g. menus · CPC title