Methods and Systems for Providing User Feedback Using an Emotion Scale

• US 20160357402A1
• Filed: 06/02/2015
• Published: 12/08/2016
• Est. Priority Date: 06/02/2015
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: MATAS, Michael James, Langholz, Benjamin S., Amerige, Brian Daniel
• Granted Patent: US 10,042,548 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 3/04883 for inputting data by handwriting, e.g. gesture or text
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text

Abstract

A client device displays a content item and a first facial expression superimposed on the content item. Concurrently with and separately from displaying the first facial expression, a range of emotion indicators is displayed, each emotion indicator of the range of emotion indicators corresponding to a respective opinion of a range of opinions. A first user input is detected at a display location corresponding to a respective emotion indicator of the range of emotion indicators. In response to detecting the first user input, the first facial expression is updated to match the respective emotion indicator.

Claims

1. A method, comprising:

at a client device having one or more processors and memory storing instructions for execution by the one or more processors;

displaying a content item;

displaying a first facial expression superimposed on the content item;

concurrently with and separately from displaying the first facial expression, displaying a range of emotion indicators, each emotion indicator of the range of emotion indicators corresponding to a respective opinion of a range of opinions;

detecting a first user input at a display location corresponding to a respective emotion indicator of the range of emotion indicators; and

in response to detecting the first user input, updating the first facial expression to match the respective emotion indicator.

2. The method of claim 1, wherein the emotion indicators are text-based indicators, and the respective emotion indicator of the range of emotion indicators is a respective text-based indicator.

3. The method of claim 1, wherein the emotion indicators are facial expressions, and the respective emotion indicator of the range of emotion indicators is a respective facial expression.

4. The method of claim 3, further comprising:

detecting selection of a particular facial expression of the range of facial expressions; and

in response to detecting the selection of the particular facial expression, generating user feedback based on the respective opinion corresponding to the particular facial expression.

5. The method of claim 4, wherein:

the first user input is associated with a user, and

generating the user feedback comprises providing instructions to a server to associate the content item and the user with the respective opinion corresponding to the particular facial expression.

6. The method of claim 4, wherein detecting selection of the particular facial expression comprises detecting termination of the first user input at a display location corresponding to the particular facial expression.

7. The method of claim 4, wherein detecting selection of the particular facial expression comprises detecting a second user input at a display location corresponding to the particular facial expression.

8. The method of claim 3, wherein displaying the range of emotion indicators comprises displaying the range of facial expressions along a pathway, each facial expression being displayed at a respective location along the pathway.

9. The method of claim 8, wherein detecting the first user input comprises detecting the first user input on a respective location of the respective facial expression along the pathway.

10. The method of claim 8, wherein the first user input comprises a continuous swipe gesture along the pathway.

11. The method of claim 3, wherein the range of opinions corresponds to a range of numerical values.

12. The method of claim 3, wherein:

the range of opinions corresponds to a range of emotions; and

each facial expression of the range of emotion indicators shows a respective emotion of the range of emotions.

13. The method of claim 3, wherein:

the first facial expression comprises a plurality of facial elements, and

updating the first facial expression comprises displaying the transformation of one or more of the plurality of facial elements to match the respective facial expression.

14. The method of claim 1, wherein the range of opinions varies monotonically from a first extreme to a second extreme.

15. The method of claim 14, wherein the first extreme represents an opinion of satisfaction and the second extreme represents an opinion of dissatisfaction.

16. The method of claim 14, wherein:

the range of opinions comprises a sequence of opinions, and

each successive opinion of the sequence of opinions corresponds to a greater degree of approval or disapproval than the preceding opinion.

17. The method of claim 16, wherein detecting selection of the user-feedback affordance comprises detecting a third user input, the third user input and the first user input composing a continuous contact that begins with the third user input.

18. The method of claim 1, wherein displaying the first facial expression superimposed on the content item is performed in response to detecting selection of a user-feedback affordance.

19. A client device, comprising:

one or more processors; and

memory storing one or more programs for execution by the one or more processors, the one or more programs including instructions for;

displaying a content item;

displaying a first facial expression superimposed on the content item;

concurrently with and separately from displaying the first facial expression, displaying a range of emotion indicators, each emotion indicator of the range of emotion indicators corresponding to a respective opinion of a range of opinions;

detecting a first user input at a display location corresponding to a respective emotion indicator of the range of emotion indicators; and

in response to detecting the first user input, updating the first facial expression to match the respective emotion indicator.

20. A non-transitory computer-readable storage medium storing one or more programs for execution by one or more processors of a client device, the one or more programs including instructions for:

displaying a content item;

displaying a first facial expression superimposed on the content item;

concurrently with and separately from displaying the first facial expression, displaying a range of emotion indicators, each emotion indicator of the range of emotion indicators corresponding to a respective opinion of a range of opinions;

detecting a first user input at a display location corresponding to a respective emotion indicator of the range of emotion indicators; and

in response to detecting the first user input, updating the first facial expression to match the respective emotion indicator.