Systems and methods for automated passive assessment of visuospatial memory and/or salience
Techniques are provided for determining a qualitative, quantitative and/or categorical assessment of one or more users and/or images with respect to one or more populations. The eye movement data of the user may be obtained with respect to each image of the one or more images displayed for a period of time. One or more memory performance measures and/or one or more salience performance measures may be determined using the eye movement data with respect to the one or more regions of the one or more images for one or more of predetermined time ranges of the period of time. The quantitative, qualitative and/or categorical assessment of the user and/or images presented may be determined with respect to one or more populations, using the one or more memory performance measures and/or one or more salience performance measures.
1. A method for determining a qualitative, quantitative and/or categorical assessment of one or more users and/or images with respect to one or more populations, comprising:
presenting a test to a user on a display screen of a computing device, the test including displaying a plurality of images comprising a first image from a first collection and a second image from a second collection for a period of time, wherein the first image comprises a plurality of regions and the second image comprises the same plurality of regions with one modified region of the plurality of regions;
obtaining eye movement data of the user with respect to the first and the second images displayed, the eye movement data for each image including eye gaze position data for the period of time;
determining one or more memory performance measures and/or one or more salience performance measures using the eye movement data with respect to the modified region of the second image for one or more of predetermined time ranges of the period of time; and
determining a quantitative, qualitative and/or categorical assessment of the user with respect to one or more populations, using the one or more memory performance measures and/or one or more salience performance measures.
2. The method according to claim 1 , the method further comprising:
detecting eye movement of the user with respect to each image displayed on the display screen for the period of time.
3. The method according to claim 1 , wherein:
the test includes one or more first images of the first collection;
the first collection of images including one or more reference images; and
each reference image of the first collection of images is displayed for the period of time.
4. The method according to claim 1 , wherein:
the test includes one or more second images of the second collection;
each image of the second collection corresponding to an image of the first collection;
each image of the second collection having one region that is different from one region of the corresponding image of the first collection; and
each image of the second collection is displayed for the period of time.
5. The method of claim 4 , wherein:
the images of the second collection are displayed after the images of the first collection.
6. The method of claim 1 , wherein the determining one or more memory performance measures and/or one or more salience performance measures includes determining one or more memory performance measures, the one or more performances measures being determined based on the performance measures for the second collection of images.
7. The method of claim 1 , wherein the determining one or more memory performance measures and/or one or more salience performance measures includes determining one or more salience performance measures, the one or more salience performances measures being determined based on the performance measures for the first collection of images.
8. The method of claim 1 , wherein the one or more populations includes individuals diagnosed with Alzheimer's Disease.
9. A system for determining a qualitative, quantitative and/or categorical assessment of one or more users and/or images with respect to one or more populations, comprising:
one or more processors; and
one or more hardware storage devices having stored thereon computer-executable instructions which are executable by the one or more processors to cause the computing system to perform at least the following:
presenting a test to a user on a display screen of a computing device, the test including displaying a plurality of images comprising one or more imaes a first image from a first collection and a second image from a second collection for a period of time, wherein the first image comprises a plurality of regions and the second image comprises the same plurality of regions with one modified region of the plurality of regions;
obtaining eye movement data of the user with respect to the first and the second images displayed, the eye movement data for each image including eye gaze position data for the period of time;
determining one or more memory performance measures and/or one or more salience performance measures using the eye movement data with respect to the modified region of the second image one or more images for one or more of predetermined time ranges of the period of time; and
determining a quantitative, qualitative and/or categorical assessment of the user with respect to one or more populations, using the one or more memory performance measures and/or one or more salience performance measures.
10. The system according to claim 9 , wherein the one or more processors are further configured to cause the computing system to perform at least the following:
detecting eye movement of the user with respect to each image displayed on the display screen for the period of time.
11. The system according to claim 9 , wherein:
the test includes one or more first images of the first collection;
the first collection of images including one or more reference images; and
each reference image of the first collection of images is displayed for the period of time.
12. The system according to claim 9 , wherein:
the test includes one or more second images of the second collection;
each image of the second collection corresponding to an image of the first collection;
each image of the second collection having one region that is different from one region of the corresponding image of the first collection; and
each image of the second collection is displayed for the period of time.
13. The system of claim 12 , wherein:
the images of the second collection are displayed after the images of the first collection.
14. The system of claim 9 , wherein the determining one or more memory performance measures and/or one or more salience performance measures includes determining one or more memory performance measures, the one or more performances measures being determined based on the performance measures for the second collection of images.
15. The system of claim 9 , wherein the determining one or more memory performance measures and/or one or more salience performance measures includes determining one or more salience performance measures, the one or more salience performances measures being determined based on the performance measures for the first collection of images.
16. The system of claim 9 , wherein the one or more populations includes individuals diagnosed with Alzheimer's Disease.