Computing situation-dependent affective response baseline levels utilizing a database storing affective responses

• US 8,898,091 B2
• Filed: 06/25/2011
• Issued: 11/25/2014
• Est. Priority Date: 05/11/2011
• Status: Active Grant

• Current Assignee: Affectomatics ltd.
• Original Assignee: Anat Thieberger Ben-Haim, Ari M. Frank, Gil Thieberger
• Inventors: Frank, Ari M., Thieberger, Gil, Thieberger Ben-Haim, Anat
• Primary Examiner(s): Chang, Li-Wu
• Assistant Examiner(s): FINK, THOMAS ANDREW
• Application Number:
  US13/168,972
• Publication Number:
  US 20120290517A1
• Time in Patent Office: 1,249 Days
• Field of Search: None
• US Class Current: 706/12
• CPC Class Codes: G06F 3/013 Eye tracking input arrangements G06F3/015 takes precedence
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation

Abstract

Computing a situation-dependent affective response baseline levels for a user involves: receiving an identifier of a situation, receiving affective response indicator values from a database corresponding to time periods in which the user was in the situation, and computing the situation-dependent baseline level corresponding to the situation based on data comprising the affective response indicator values.

Claims

1. A method for computing situation-dependent affective response baseline levels for a user, comprising:

receiving an identifier of a first situation;

receiving, from a database, first and third affective response indicator values corresponding to first and third time periods, respectively;

wherein the database further stores a second affective response indicator value corresponding to a second time period, the user was in the first situation during the first and third time periods, and the user was in a second situation during the second time period; and

wherein the first time period precedes the second time period and the second time period precedes the third time period;

computing a first situation-dependent baseline level corresponding to the first situation based on data comprising the first and third affective response indicator values;

receiving an identifier of the second situation;

receiving, from the database, the second affective response indicator value; and

computing a second situation-dependent baseline level corresponding to the second situation based on data comprising the second affective response indicator value;

wherein the first and second situatio-dependant baseline levels each represent a value comprising at least one of;

a calculated level of an affective response of the user, and a calculated value of a user measurement channel indicative of a level of an affective response of the user; and

wherein the first situation-dependent baseline level is different from the second situation-dependant baseline level.

2. The method of claim 1, wherein the baseline levels do not consider the effects of the user'"'"'s short term-exposure to token instances.

3. The method of claim 1, wherein the first, second, and third affective response indicator values are obtained utilizing a sensor that is used to measure at least one of the following signals of the user:

heart-rate, blood-volume pulse, galvanic skin response, skin temperature, respiration, electroencephalography, electrocardiography, electromyography, and electrodermal activity.

4. The method of claim 1, wherein the first, second, and third affective response indicator values are behavioral measurements of the user obtained utilizing at least one of:

a camera, a microphone, a movement sensor, an acoustic sensor, and a pressure sensor.

5. The method of claim 1, wherein when the user is in the first situation, the user exhibits a different affective response to at least one token instance, compared to affective response the user exhibits when the user is in the second situation and is exposed to the at least one token instance.

6. The method of claim 1, wherein computing the first situation-dependent baseline level corresponding to the first situation comprises performing at least one of the following to values comprising the first and third affective response indicator values:

averaging the values, applying low-pass filtering to the values, applying Fourier transform to the values, and performing wavelet transform analysis on the values.

7. The method of claim 1, wherein the first, second, and third affective response indicator values are obtained utilizing a sensor that is attached to the body of the user, implanted in the body of the user, or remote of the body of the user.

8. A system configured to compute a situation-dependent affective response baseline levels for a user, comprising:

a computer coupled to a database, the database comprising first, second, and third affective response indicator values corresponding to first, second, and third time periods, respectively;

wherein the user was is a first situation during the first and third time periods, and the user was in a second situation during the second time period; and

wherein the first time period precedes the second time period and the second time period precedes the third time period;

a baseline calculator configured to receive an identifier of the first situation;

the baseline calculator is further configured to receive, from the database, the first and third affective response indicator values and to compute a first situation-dependent baseline level corresponding to the first situation based on data comprising the first and third affective response indicator values;

the baseline calculator is further configured to receive an identifier of the second situation; and

the baseline calculator is further configured to receive, from the database, the second affective response indicator value and to compute a second situation-dependent baseline level corresponding to the second situation based on data comprising the second affective response indicator value;

wherein the first and the second situation-dependent baseline levels each represent a value comprising at least one of;

a calculated level of an affective response of the user, and a calculated value of a user measurement channel indicative of a level of an affective response of the user; and

wherein the first situation-dependent baseline level is different from the second situation-dependent baseline level.

9. The system of claim 8, wherein the baseline levels do not consider the effects of the user'"'"'s short term-exposure to token instances.

10. The system of claim 8, wherein the first, second, and third affective response indicator values are obtained utilizing a sensor that is used to measure at least one of the following signals of the user:

heart-rate, blood-volume pulse, galvanic skin response, skin temperature, respiration, electroencephalography, electrocardiography, electromyography, and electrodermal activity.

11. The system of claim 8, wherein the first, second, and third affective response indicator values are behavioral measurements of the user obtained utilizing at least one of:

a camera, a microphone, a movement sensor, an acoustic sensor, and a pressure sensor.

12. The system of claim 8, wherein when the user is in the first situation, the user exhibits a different affective response to at least one token instance, compared to affective response the user exhibits when the user is in the second situation and is exposed to the at least one token instance.

13. The system of claim 8, wherein computing the first situation-dependent baseline level corresponding to the first situation comprises performing at least one of the following to values comprising the first and third affective response indicator values:

averaging the values, applying low-pass filtering to the values, applying Fourier transform to the values, and performing wavelet transform analysis on the values.

14. The system of claim 8, wherein the first, second, and third affective response indicator values are obtained utilizing a sensor that is attached to the body of the user, implanted in the body of the user, or remote of the body of the user.

15. A non-transitory computer readable medium for use in a computer to compute situation-dependent baseline levels for a user;

the computer includes a processor, and the non-transitory computer readable medium comprising;

program code for receiving an identifier of a first situation;

program code for receiving, from a database, first and third affective response indicator values corresponding to first and third time periods, respectively;

wherein the database further stores a second affective response indicator value corresponding to a second time period, the user was is the first situation during the first and third time periods, and the user was in a second situation during the second time period; and

wherein the first time period precedes the second time period and the second time period precedes the third time period;

program code for computing a first situation-dependent baseline level corresponding to the first situation based on data comprising the first and third affective response indicator values;

program code for receiving an identifier of the second situation;

program code for receiving, from the database, the second affective response indicator value;

and program code for computing a second situation-dependent baseline level corresponding to the second situation based on data comprising the second affective response indicator value;

wherein the first and the second situation-dependent baseline levels each represent a value comprising at least one of;

a calculated level of an affective response of the user, and a calculated value of a user measurement channel indicative of a level of an affective response of the user; and

wherein the first situation-dependent baseline level is different from the second situation-dependent baseline level.

16. The non-transitory computer readable medium of claim 15, wherein the program code for computing the first and second situation-dependent baseline levels does not consider the effects of the user'"'"'s short term-exposure to token instances.

17. The non-transitory computer readable medium of claim 15, wherein the first, second, and third affective response indicator values are obtained utilizing a sensor that is used to measure at least one of the following signals of the user:

heart-rate, blood-volume pulse, galvanic skin response, skin temperature, respiration, electroencephalography, electrocardiography, electromyography, and electrodermal activity.

18. The non-transitory computer readable medium of claim 15, wherein the first, second, and third affective response indicator values are behavioral measurements of the user obtained utilizing at least one of:

a camera, a microphone, a movement sensor, an acoustic sensor, and a pressure sensor.

19. The non-transitory computer readable medium of claim 15, wherein when the user is in the first situation, the user exhibits a different affective response to at least one token instance, compared to affective response the user exhibits when the user is in the second situation and is exposed to the at least one token instance.

20. The non-transitory computer readable medium of claim 15, wherein the program code for computing the first situation-dependent baseline level corresponding to the first situation comprises program code for performing at least one of the following to values comprising the first and third affective response indicator values:

averaging the values, applying low-pass filtering to the values, applying Fourier transform to the values, and performing wavelet transform analysis on the values.