METHOD AND APPARATUS FOR SUBJECTIVE ADVERTISMENT EFFECTIVENESS ANALYSIS

• US 20140278910A1
• Filed: 03/15/2013
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Visintainer, Randal Henry, Liu, Yimin, MacNeille, Perry Robinson, Gusikhin, Oleg Yurievitch
• Application Number:
  US13/834,330
• Publication Number:
  US 20140278910A1
• Time in Patent Office: Days
• US Class Current: 705/14.41
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements

Abstract

A system includes a processor configured to receive an advertisement. The processor is also configured to present the advertisement to a vehicle occupant. The processor is further configured to visually record an occupant response during the course of the advertisement presentation using a vehicle camera. The processor is additionally configured to analyze the visually recorded response to gauge a user reaction to the advertisement and based on the analysis adjust an advertisement variable metric with respect to the presented advertisement.

Claims

1. A system comprising:

a processor configured to;

receive an advertisement;

present the advertisement to a vehicle occupant;

visually record an occupant response during the course of the advertisement presentation using a vehicle camera;

analyze the visually recorded response to gauge a user reaction to the advertisement; and

based on the analysis adjust an advertisement variable metric with respect to the presented advertisement.

2. The system of claim 1, wherein the advertisement presentation includes visual presentation.

3. The system of claim 1, wherein the advertisement presentation includes audible presentation.

4. The system of claim 1, wherein the processor is configured to record a user response via a vehicle camera.

5. The system of claim 1, wherein the user response includes a facial expression.

6. The system of claim 5, wherein the analysis of the facial expression results in a determined user emotion state.

7. The system of claim 6, wherein the user emotion state is used to update a user profile with a user response to the advertisement based on the emotion state.

8. A system comprising:

a processor configured to;

receive an advertisement including a facial recognition delivery instruction;

capture video or images of a vehicle occupant using a vehicle camera to record user expression state;

analyze the user expression state; and

when the user expression state coincides with the facial recognition delivery instruction, deliver the advertisement.

9. The system of claim 8, wherein the facial recognition delivery instruction includes an instruction to deliver the advertisement during a facial state corresponding to a particular emotion.

10. The system of claim 8, wherein the facial recognition delivery instruction is based at least in part on previously observed responses under which similar advertisements were delivered with positively recorded responses.

11. The system of claim 8, wherein the facial expression is recorded over the course of advertisement delivery in predefined segments.

12. The system of claim 8, wherein the processor is further configured to record user facial expression during advertisement delivery and update a user profile with a user response to the advertisement based on the recorded user facial expression.

13. The system of claim 12, wherein the predefined segments are correlated during the update of the advertisement response to correspond to specific advertisement segments.

14. A computer-implemented method comprising:

receiving an advertisement including a facial recognition delivery instruction;

capturing video or images of a vehicle occupant using a vehicle camera to record user expression state;

analyzing the user expression state; and

when the user expression state coincides with the facial recognition delivery instruction, delivering the advertisement.

15. The method of claim 14, wherein the facial recognition delivery instruction includes an instruction to deliver the advertisement during a facial state corresponding to a particular emotion.

16. The method of claim 14, wherein the facial recognition delivery instruction is based at least in part on previously observed responses under which similar advertisements were delivered with positively recorded responses.

17. The method of claim 14, wherein the facial expression is recorded over the course of advertisement delivery in predefined segments.

18. The method of claim 14, wherein the method further includes recording user facial expression during advertisement delivery and updating a user profile with a user response to the advertisement based on the recorded user facial expression.

19. The system of claim 18, wherein the predefined segments are correlated during the update of the advertisement response to correspond to specific advertisement segments.