Identifying digital content using bioresponse data

1. A computer-implemented method of retrieving information regarding a sensory element experienced by a user according to bioresponse data, the method comprising:

determining bioresponse data from the user while the user is experiencing a sensory stimulus including the sensory element;

if the bioresponse data includes a pattern exceeding a threshold, then identifying, using the bioresponse data, the sensory element within the sensory stimulus and wherein the threshold comprises a initial period of time of 750 milliseconds, and wherein the threshold is increased to 950 milliseconds when the user exhibits an increased stress level;

identifying an attribute of the sensory element, wherein the attribute describes the sensory element,

associating the sensory element with the attribute.

2. The computer-implemented method of claim 1 , wherein the pattern comprises a visual fixation on the sensory element.

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

wherein context data comprises a temperature of the physical environment in which the user experienced the sensory stimulus; and

storing the association of the sensory element with the attribute and the context data.

4. The computer-implemented method of claim 1 , wherein the context data includes at least one of date, time, or user location.

5. The computer-implemented method of claim 3 , wherein the context data includes at least one of a type, orientation, or acceleration of a device that is determining the bioresponse data.

6. The computer-implemented method of claim 3 , further comprising:

receiving a search inquiry, wherein the search inquiry represents the attribute and the context data;

searching the stored associations using the search inquiry; and

displaying the sensory element based on the searching.

7. The computer-implemented method of claim 1 , wherein the pattern is a visual regression on the sensory element, the visual regression comprising a number of fixations within a time period.

8. The computer-implemented method of claim 1 , wherein the pattern is a visual saccadic pattern associated with the sensory element.

9. The computer-implemented method of claim 1 , wherein:

the sensory element comprises an image in an HTML document, and

the attribute comprises a value of an HTML attribute of an HTML element associated with the sensory element.

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

the sensory element is obtained from a web search, and the attribute describes the sensory element.

11. The computer-implemented method of claim 1 , wherein the attribute is a name of a file containing the sensory element.

12. The computer-implemented method of claim 1 , wherein the attribute is determined by applying an image recognition algorithm against at least of a portion of the sensory element.

13. The computer-implemented method of claim 1 , wherein the sensory element is displayed on a screen of a digital computing device.

14. The computer-implemented method of claim 1 , wherein the sensory element is displayed on a screen of a digital kiosk.

15. The computer-implemented method of claim 1 , wherein the sensory element is visible to the eye of the user through an augmented reality goggle.

16. A computer-implemented method of retrieving, using bioresponse data, information regarding a sensory element experienced by a user, comprising:

receiving, from the user, a search query, wherein the search query includes at least one of date, time, location estimating the user's previous experience of the sensory element;

searching a repository of stored associations between the sensory element and the search query, wherein:

an association was stored based on bioresponse data determined from the user while the user was previously experiencing the sensory element,

the sensory element represents a portion of a sensory stimulus experienced by the user, and

the bioresponse data includes a pattern exceeding a threshold, and wherein the threshold comprises a initial period of time of 750 milliseconds, and wherein the threshold is increased to 950 milliseconds when the user exhibits an increased stress level; and

displaying the sensory element previously experienced by the user based on the searching.

17. A non-transitory computer-readable storage medium comprising computer-executable instructions for retrieving information regarding a sensory element experienced by a user according to bioresponse data, the computer-executable instructions comprising instructions for:

determining bioresponse data from the user while the user is experiencing a sensory stimulus including the sensory element, wherein the sensory element comprises a text element;

if the bioresponse data includes a pattern exceeding a threshold, then identifying, using the bioresponse data, the sensory element within the sensory stimulus, wherein the threshold is modified based on a stress level of the user, and wherein the threshold comprises a initial period of time of 750 milliseconds, and wherein the threshold is increased to 950 milliseconds when the user exhibits an increased stress level;

identifying an attribute of the sensory element, wherein the attribute describes the sensory element, wherein the attribute comprises a dictionary definition of at least a portion of the text element;

identifying a context data, wherein the context data identifies a physical environment in which the user experienced the sensory stimulus; and

associating the sensory element with the attribute and the context data; and

storing the association of the sensory element with the attribute.

18. The non-transitory computer-readable medium of claim 17 , wherein the pattern comprises a visual fixation on the sensory element.

19. The non-transitory computer-readable medium of claim 17 , further comprising:

wherein context data comprises a temperature of the physical environment in which the user experienced the sensory stimulus; and

storing the association of the sensory element with the attribute and the context data.

20. The non-transitory computer-readable medium of claim 17 , wherein the context data includes at least one of date, time, or user location.

21. The non-transitory computer-readable medium of claim 19 , wherein the context data includes at least one of a type, orientation, or acceleration of a device that is determining the bioresponse data.

22. The non-transitory computer-readable medium of claim 19 , further comprising:

receiving a search inquiry, wherein the search inquiry represents attribute or context data;

searching the stored associations using the search inquiry; and

displaying the sensory element based on the searching.

23. The non-transitory computer-readable medium of claim 17 , wherein the pattern is a visual regression on the sensory element, the visual regression comprising a number of fixations within a time period.

24. The non-transitory computer-readable medium of claim 17 , wherein the pattern is a visual saccadic pattern associated with the sensory element.

25. The non-transitory computer-readable medium of claim 17 , wherein:

the sensory element comprises an image in an HTML document, and

the attribute comprises a value of an HTML attribute of an HTML element associated with the sensory element.

26. The non-transitory computer-readable medium of claim 17 , wherein:

the sensory element is obtained from a web search, and the attribute describes the sensory element.

27. The non-transitory computer-readable medium of claim 17 , wherein the attribute is a name of a file containing the sensory element.

28. The non-transitory computer-readable medium of claim 17 , wherein the attribute is determined by applying an image recognition algorithm against at least of a portion of the sensory element.

29. The non-transitory computer-readable medium of claim 17 , wherein the sensory element includes text, and the attribute is a dictionary definition of at least a portion of the text.

30. The non-transitory computer-readable medium of claim 17 , wherein the sensory element is displayed on a screen of a digital computing device.

31. The non-transitory computer-readable medium of claim 17 , wherein the sensory element is displayed on a screen of a digital kiosk.

32. The non-transitory computer-readable medium of claim 17 , wherein the sensory element is visible to the eye of the user through an augmented reality goggle.

33. A non-transitory computer-readable storage medium comprising computer-executable instructions for retrieving, using bioresponse data, information regarding a sensory element experienced by a user, the computer-executable instructions comprising instructions for:

receiving, from the user, a search query, wherein the search query includes at least one of date, time, location estimating the user's previous experience of the sensory element;

searching a repository of stored associations between the sensory element and the search query, wherein:

an association was stored based on bioresponse data determined from the user while the user was previously experiencing the sensory element,

the sensory element represents a portion of a sensory stimulus experienced by the user, and

the bioresponse data includes a pattern exceeding a threshold, and wherein the threshold comprises a initial period of time of 750 milliseconds, and wherein the threshold is increased to 950 milliseconds when the user exhibits an increased stress level; and

displaying the sensory element previously experienced by the user based on the searching.

34. A computer system for retrieving information regarding a sensory element experienced by a user according to bioresponse data, comprising:

one or more sensors configured to determine bioresponse data from the user while the user is experiencing a sensory stimulus including the sensory element, wherein the bioresponse data comprises eye-tracking data that indicates a comprehension difficulty on the part of the user with respect to the sensory stimulus, and wherein the sensory stimulus comprises text; and

one or more processors configured to:

identify, using the bioresponse data, the sensory element within the sensory stimulus, if the bioresponse data includes a pattern exceeding a threshold and wherein the threshold comprises a initial period of time of 750 milliseconds, and wherein the threshold is increased to 950 milliseconds when the user exhibits an increased stress level;

identify an attribute of the sensory element, wherein the attribute describes the sensory element;

identify, using the bioresponse data, context data, wherein the context data identifies the physical environment in which the user experienced the sensory stimulus;

associate the sensory element with the attribute and the context data; and

store the association into memory.

35. A computer system for retrieving, using bioresponse data, information regarding a sensory element experienced by a user, comprising:

memory storing associations between the sensory element and related information, wherein:

an association was stored based on bioresponse data determined from the user while the user was previously experiencing the sensory element,

the sensory element represents a portion of a sensory stimulus experienced by the user, and

the bio response data includes a pattern exceeding a threshold, wherein the threshold is modified based on a stress level of the user, and wherein the threshold comprises a initial period of time of 750 milliseconds, and wherein the threshold is increased to 950 milliseconds when the user exhibits an increased stress level; and

one or more processors configured to:

receive, from the user, a search query, wherein the search query includes at least one of date, time, location estimating the user's previous experience of the sensory element;

search the memory based on the search query; and

cause to be displayed the sensory element previously experienced by the user based on the searching.