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The present systems and methods provide a mechanism to assess viewer behavior, features of stimuli, and the interaction between viewer behavior and stimuli. The systems and methods described herein for quantifying blink response and blink inhibition provide moment-by-moments measurements of viewer e

The present systems and methods provide a mechanism to assess viewer behavior, features of stimuli, and the interaction between viewer behavior and stimuli. The systems and methods described herein for quantifying blink response and blink inhibition provide moment-by-moments measurements of viewer engagement by measuring what is or is not engaging enough to warrant viewers' inhibition of blinking. The present disclosure describes measures of visual scanning, eye movements, blink data, and blink timing data to derive a measure of how engaged a person is with what he or she is looking at. Blink-related data as a measure of viewer engagement provides a mechanism for determining the most engaging spatial and temporal aspects of a stimulus.

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1. A method for assessing the risk of a mental condition in an individual using an eye monitoring device, comprising the steps of: receiving blink data indicative of the individual's blink responses to a dynamic visual stimulus displayed to the individual, wherein the blink data is collected via the

1. A method for assessing the risk of a mental condition in an individual using an eye monitoring device, comprising the steps of: receiving blink data indicative of the individual's blink responses to a dynamic visual stimulus displayed to the individual, wherein the blink data is collected via the eye monitoring device;synchronizing, via software executing on a processor, the received blink data with the dynamic visual stimulus;identifying, via software executing on the processor, a pattern of blink inhibition in the synchronized blink data;retrieving, via software executing on the processor, event data related to the dynamic visual stimulus from a database; andcomparing, via software executing on the processor, a parameter of the pattern of blink inhibition in the synchronized blink data with a parameter of the event data related to the dynamic visual stimulus to determine at least one delta parameter, wherein the at least one delta parameter indicates a likelihood that the individual has a mental disorder. 2. The method of claim 1, wherein the parameter of the event data comprises a predetermined time-stamped event. 3. The method of claim 1, wherein the parameter of the event data comprises a time value. 4. The method of claim 1, wherein the parameter of the pattern of blink inhibition comprises a time value. 5. The method of claim 1, wherein the at least one delta parameter comprises a time value that exceeds a predetermined threshold value. 6. The method of claim 1, wherein the at least one delta parameter comprises a time value that is less than a predetermined threshold value. 7. The method of claim 1, further comprising the step of providing a diagnosis to the individual based on the at least one delta parameter. 8. The method of claim 1, wherein the mental condition comprises a developmental or cognitive disorder. 9. The method of claim 1, wherein the event data corresponds to one or more of the following: physical events within the dynamic visual stimulus, affective events within the dynamic visual stimulus, events presumed to cause or inhibit blinking based on the dynamic visual stimulus. 10. The method of claim 1, wherein the step of synchronizing comprises time-locking or time-correlating the received blink data with the dynamic visual stimulus. 11. The method of claim 1, wherein the pattern of blink inhibition comprises a comparison between the individual's blink data and a chance probability of blinking associated with the individual. 12. The method of claim 1, wherein the pattern of blink inhibition comprises a mean blink rate for the individual during the dynamic visual stimulus. 13. The method of claim 1, wherein the pattern of blink inhibition comprises a moment-by-moment blink rate for the individual. 14. The method of claim 1, wherein the pattern of blink inhibition comprises a measure of an instantaneous blink rate for the individual at a certain time point as compared to a mean blink rate for the individual. 15. The method of claim 1, wherein the pattern of blink inhibition comprises a measure of an instantaneous blink rate for the individual at a certain time point as compared to a mean blink rate for a control group. 16. The method of claim 1, wherein the pattern of blink inhibition comprises a measure of an instantaneous blink rate for the individual as compared to measure of variance in a mean blink rate for the individual. 17. A system for assessing the risk of a mental condition in an individual using an eye monitoring device, comprising: a processor;software executing on the processor for receiving blink data indicative of the individual's blink responses to a dynamic visual stimulus displayed to the individual, wherein the blink data is collected via the eye monitoring device;software executing on the processor for synchronizing the received blink data with the dynamic visual stimulus;software executing on the processor for identifying a pattern of blink inhibition in the synchronized blink data;software executing on the processor for retrieving event data related to the dynamic visual stimulus from a database; andsoftware executing on the processor for comparing a parameter of the pattern of blink inhibition in the synchronized blink data with a parameter of the event data related to the dynamic visual stimulus to determine at least one delta parameter, wherein the at least one delta parameter indicates a likelihood that the individual has a mental disorder. 18. The system of claim 17, wherein the parameter of the event data comprises a predetermined time-stamped event. 19. The system of claim 17, wherein the parameter of the event data comprises a time value. 20. The system of claim 17, wherein the parameter of the pattern of blink inhibition comprises a time value. 21. The system of claim 17, wherein the at least one delta parameter comprises a time value that exceeds a predetermined threshold value. 22. The system of claim 17, wherein the at least one delta parameter comprises a time value that is less than a predetermined threshold value. 23. The system of claim 17, further comprising software executing on the processor for providing a diagnosis to the individual based on the at least one delta parameter. 24. The system of claim 17, wherein the mental condition comprises a developmental or cognitive disorder. 25. The system of claim 17, wherein the event data corresponds to one or more of the following: physical events within the dynamic visual stimulus, affective events within the dynamic visual stimulus, events presumed to cause or inhibit blinking based on the dynamic visual stimulus. 26. The system of claim 17, wherein the software for synchronizing further comprises software executing on the processor for time-locking or time-correlating the received blink data with the dynamic visual stimulus. 27. The system of claim 17, wherein the pattern of blink inhibition comprises a comparison between the individual's blink data and a chance probability of blinking associated with the individual. 28. The system of claim 17, wherein the pattern of blink inhibition comprises a mean blink rate for the individual during the dynamic visual stimulus. 29. The system of claim 17, wherein the pattern of blink inhibition comprises a moment-by-moment blink rate for the individual. 30. The system of claim 17, wherein the pattern of blink inhibition comprises a measure of an instantaneous blink rate for the individual at a certain time point as compared to a mean blink rate for the individual. 31. The system of claim 17, wherein the pattern of blink inhibition comprises a measure of an instantaneous blink rate for the individual at a certain time point as compared to a mean blink rate for a control group. 32. The system of claim 17, wherein the pattern of blink inhibition comprises a measure of an instantaneous blink rate for the individual as compared to measure of variance in a mean blink rate for the individual. 33. A method for evaluating, monitoring, or diagnosing a mental condition in an individual using an eye monitoring device, comprising the steps of: receiving blink data indicative of the individual's blink responses to a dynamic visual stimulus displayed to the individual, wherein the blink data is collected using the eye monitoring device;synchronizing, via software executing on a processor, the received blink data with the dynamic visual stimulus;identifying, via software executing on the processor, a pattern of blink inhibition in the synchronized blink data;retrieving, via software executing on the processor, a control pattern of blink inhibition for the dynamic visual stimulus displayed to the individual from a database; and comparing, via software executing on the processor, the pattern of blink inhibition in the synchronized blink data with the control pattern of blink inhibition to determine whether the pattern of blink inhibition falls outside a range of the control pattern of blink inhibition and thereby indicates a likelihood that the individual has a mental condition. 34. The method of claim 33, wherein the mental condition comprises a developmental or cognitive disorder. 35. The method of claim 33, wherein the step of synchronizing comprises time-locking or time-correlating the received blink data with the dynamic visual stimulus. 36. The method of claim 33, wherein the blink data for the individual corresponds to a rate of change of pupil size for the individual. 37. The method of claim 33, wherein the blink data corresponds to eyelid closure for the individual. 38. The method of claim 33, further comprising the step of converting, via software executing on the processor, the blink data to binary format for identification purposes. 39. The method of claim 33, wherein the control pattern of blink inhibition comprises an average blink rate for a plurality of individuals in response to the dynamic visual stimulus. 40. The method of claim 33, wherein the control pattern of blink inhibition comprises a probability distribution of average blink rates for a plurality of individuals as obtained by permuting the blink data of the plurality of individuals. 41. The method of claim 40, wherein the step of permuting the data of the plurality of individuals comprises circular shifting with respect to an original timing of blink data collection. 42. The method of claim 40, wherein the step of permuting the data of the plurality of individuals comprises randomizing an order of blinks and inter-blink intervals for each individual. 43. The method of claim 33, wherein the pattern of blink inhibition comprises a mean blink rate for the individual during the dynamic visual stimulus. 44. The method of claim 33, wherein the pattern of blink inhibition comprises a moment-by-moment blink rate for the individual. 45. The method of claim 33, wherein the pattern of blink inhibition comprises a measure of an instantaneous blink rate for the individual at a certain time point and the control pattern of blink inhibition comprises an instantaneous blink rate for a control group. 46. The method of claim 33, wherein the control pattern of blink inhibition comprises an average blink rate for the individual when no dynamic visual stimulus is present. 47. The method of claim 33, wherein the pattern of blink inhibition comprises a measure of blink inhibition relative to an event in the dynamic visual stimulus. 48. The method of claim 47, wherein the event in the dynamic visual stimulus comprises a physical event or an affective event. 49. The method of claim 33, wherein the control pattern of blink inhibition indicates a severity of the mental condition. 50. A system for evaluating, monitoring, or diagnosing a mental condition in an individual using an eye monitoring device, comprising: a processor;software executing on the processor for receiving blink data indicative of the individual's blink responses to a dynamic visual stimulus displayed to the individual, wherein the blink data is collected using the eye monitoring device;software executing on the processor for synchronizing the received blink data with the dynamic visual stimulus;software executing on the processor for identifying a pattern of blink inhibition in the synchronized blink data;software executing on the processor for retrieving a control pattern of blink inhibition for the dynamic visual stimulus displayed to the individual from a database; andsoftware executing on the processor for comparing the pattern of blink inhibition in the synchronized blink data with the control pattern of blink inhibition to determine whether the pattern of blink inhibition falls outside a range of the control pattern of blink inhibition and thereby indicates a likelihood that the individual has a mental condition. 51. The system of claim 50, wherein the mental condition comprises a developmental or cognitive disorder. 52. The system of claim 50, wherein the software for synchronizing further comprises software executing on the processor for time-locking or time-correlating the received blink data with the dynamic visual stimulus. 53. The system of claim 50, wherein the blink data for the individual corresponds to a rate of change of pupil size for the individual. 54. The system of claim 50, wherein the blink data corresponds to eyelid closure for the individual. 55. The system of claim 50, further comprising software executing on the processor for converting the blink data to binary format for identification purposes. 56. The system of claim 50, wherein the control pattern of blink inhibition comprises an average blink rate for a plurality of individuals in response to the dynamic visual stimulus. 57. The system of claim 50, wherein the control pattern of blink inhibition comprises a probability distribution of average blink rates for a plurality of individuals as obtained by permuting the blink data of the plurality of individuals. 58. The system of claim 57, wherein the step of permuting the data of the plurality of individuals comprises circular shifting with respect to an original timing of blink data collection. 59. The system of claim 57, wherein the step of permuting the data of the plurality of individuals comprises randomizing an order of blinks and inter-blink intervals for each individual. 60. The system of claim 50, wherein the pattern of blink inhibition comprises a mean blink rate for the individual during the dynamic visual stimulus. 61. The system of claim 50, wherein the pattern of blink inhibition comprises a moment-by-moment blink rate for the individual. 62. The system of claim 50, wherein the pattern of blink inhibition comprises a measure of an instantaneous blink rate for the individual at a certain time point and the control pattern of blink inhibition comprises an instantaneous blink rate for a control group. 63. The system of claim 50, wherein the control pattern of blink inhibition comprises an average blink rate for the individual when no dynamic visual stimulus is present. 64. The system of claim 50, wherein the pattern of blink inhibition comprises a measure of blink inhibition relative to an event in the dynamic visual stimulus. 65. The system of claim 64, wherein the event in the dynamic visual stimulus comprises a physical event or an affective event. 66. The system of claim 50, wherein the control pattern of blink inhibition indicates a severity of the mental condition.