Augmented and virtual reality display systems for oculometric assessments
Example techniques are disclosed for increasing the sensitivity of an augmented or virtual reality display system to collecting eye-tracking data for detecting physiological conditions, such as neural processes. An example method includes accessing eye-tracking information associated with a control population and an experimental population, the eye-tracking information reflecting, for each user of the control population and the experimental population, eye-tracking metrics associated with the user; scaling the eye-tracking information based on the eye-tracking information associated with the control population; and determining a sensitivity measure reflecting a distance measure between the control population and experimental population. The sensitivity measure may be utilized to modify physical or operational parameters for the display system and/or the protocol for performing a test.
1 . A computer-implemented system, comprising:
one or more computers; and
one or more computer memory devices interoperably coupled with the one or more computers and having tangible, non-transitory, machine-readable media storing one or more instructions that, when executed by the one or more computers, perform one or more operations, comprising:
obtaining a first sensitivity measure and a second sensitivity measure, wherein the first sensitivity measure and the second sensitivity measure are generated for a same experimental population and a similar control population;
accessing information identifying display device configurations or oculometric protocols for the first sensitivity measure and the second sensitivity measure;
performing a ratio comparison of the first sensitivity measure and the second sensitivity measure; and
determining which of the first sensitivity measure and the second sensitivity measure is more sensitive to the same experimental population.
2 . The computer-implemented system of claim 1 , wherein the same experimental population or the same control population falls within a same cohort or includes users with a same physiological condition.
3 . The computer-implemented system of claim 1 , wherein the first sensitivity measure is generated based on: 1) eye-tracking information from display devices with a different configuration compared to the second sensitivity measure or 2) eye-tracking information from display devices implementing a different oculometric protocol.
4 . The computer-implemented system of claim 3 , wherein the different configuration includes a different frequency at which eye movements are tracked.
5 . The computer-implemented system of claim 3 , wherein the different oculometric protocol includes different visual stimuli at different perceived depths or depth planes.
6 . The computer-implemented system of claim 1 , wherein performing the ratio comparison of the first sensitivity measure and the second sensitivity measure compares a multitude of sensitivity measures for the same experimental population.
7 . A computer-implemented method, comprising:
obtaining a first sensitivity measure and a second sensitivity measure, wherein the first sensitivity measure and the second sensitivity measure are generated for a same experimental population and a same control population;
accessing information identifying display device configurations or oculometric protocols for the first sensitivity measure and the second sensitivity measure;
performing a ratio comparison of the first sensitivity measure and the second sensitivity measure; and
determining which of the first sensitivity measure and the second sensitivity measure is more sensitive to the same experimental population.
8 . The computer-implemented method of claim 7 , wherein the same experimental population or the same control population falls within a same cohort or includes users with a same physiological condition.
9 . The computer-implemented method of claim 7 , wherein the first sensitivity measure is generated based on: 1) eye-tracking information from display devices with a different configuration compared to the second sensitivity measure or 2) eye-tracking information from display devices implementing a different oculometric protocol.
10 . The computer-implemented method of claim 9 , wherein the different configuration includes a different frequency at which eye movements are tracked.
11 . The computer-implemented method of claim 9 , wherein the different oculometric protocol includes different visual stimuli at different perceived depths or depth planes.
12 . The computer-implemented method of claim 7 , wherein performing the ratio comparison of the first sensitivity measure and the second sensitivity measure compares a multitude of sensitivity measures for the same experimental population.
13 . The computer-implemented method of claim 7 , comprising:
determining, based on the first sensitivity measure and the second sensitivity measure, a particular configuration or oculometric protocol which is most sensitive to the same experimental population.
14 . A non-transitory, computer-readable medium storing one or more instructions executable by a computer system to perform one or more operations, comprising:
obtaining a first sensitivity measure and a second sensitivity measure, wherein the first sensitivity measure and the second sensitivity measure are generated for a same experimental population and a same control population;
accessing information identifying display device configurations or oculometric protocols for the first sensitivity measure and the second sensitivity measure;
performing a ratio comparison of the first sensitivity measure and the second sensitivity measure; and
determining which of the first sensitivity measure and the second sensitivity measure is more sensitive to the same experimental population.
15 . The non-transitory, computer-readable medium of claim 14 , wherein the same experimental population or the same control population falls within a same cohort or includes users with a same physiological condition.
16 . The non-transitory, computer-readable medium of claim 14 , wherein the first sensitivity measure is generated based on: 1) eye-tracking information from display devices with a different configuration compared to the second sensitivity measure or 2) eye-tracking information from display devices implementing a different oculometric protocol.
17 . The non-transitory, computer-readable medium of claim 16 , wherein the different configuration includes a different frequency at which eye movements are tracked.
18 . The non-transitory, computer-readable medium of claim 16 , wherein the different oculometric protocol includes different visual stimuli at different perceived depths or depth planes.
19 . The non-transitory, computer-readable medium of claim 14 , wherein performing the ratio comparison of the first sensitivity measure and the second sensitivity measure compares a multitude of sensitivity measures for the same experimental population.
20 . The non-transitory, computer-readable medium of claim 14 , comprising:
determining, based on the first sensitivity measure and the second sensitivity measure, a particular configuration or oculometric protocol which is most sensitive to the same experimental population.