IP Library Granted Patent US 12682297
Granted Patent B2
US 12682297 · App. 18/239,148 · Granted Jul 14, 2026

Method, system and storage medium for assessing and training personnel situational awareness

Inventors: Qichao Zhao (Beijing, CN); Ran Yang (Beijing, CN)
Assignee: KINGFAR INTERNATIONAL INC.
G06Q10/063112A61B5/165
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Quick Facts
Patent No.
US 12682297
App. No.
18/239,148
Granted
Jul 14, 2026
Kind
B2
Abstract

The present application provides a method, system, and storage medium of personnel situational awareness evaluation and training, the method comprises: obtaining situational awareness scenes and tasks; performing the personnel situational awareness testing or training through the situational awareness task in the situational awareness scene, obtaining an objective data for each dimension of a plurality of situational awareness tasks collected by personnel based on a plurality of sensing devices during an implementation of the situational awareness tasks, obtaining subjective evaluation results of the personnel after the situational awareness testing or training; a multiple regression analysis is performed based on the objective data and the subjective evaluation results of each dimension of each situational awareness task to obtain a single task and single dimension evaluation result, a single task and total task evaluation results of the situational awareness task; after each personnel situational awareness training, reviewing the personnel situational awareness training.

Claims (61)

1 . A method for assessing and training personnel situational awareness for quantifying personnel situation awareness, comprising:

obtaining a situational awareness scene by building a custom scene or importing a third-party scene via a communication interface, and obtaining situational awareness tasks constructed under the situational awareness scene, wherein the situational awareness tasks comprise multiple ones among a perception task, a comprehension task, a prediction task, and a decision task;

performing personnel situational awareness testing or personnel situational awareness training via virtual reality equipment based on the situational awareness tasks in the situational awareness scene, wherein a presentation of the situational awareness scene is achieved with virtual reality technology, simulation technology, augmented reality technology, or mixed reality technology, and obtaining subjective evaluation results for personnel after the personnel situational awareness testing or the personnel situational awareness training;

obtaining objective data across a plurality of dimensions for each of a plurality of situational awareness tasks collected by a plurality of sensing devices during personnel execution of the situational awareness tasks, wherein the plurality of sensing devices comprise a physiological sensing device, an electroencephalogram (EEG) sensing device, an infrared sensing device, and a behavioral response recording device, and the plurality of dimensions comprise multiple ones among a physiological dimension, a brain cognitive activity dimension, a behavioral dimension, and a behavioral paradigm dimension;

performing multiple regression analysis on the objective data of each of the plurality of dimensions for each of the plurality of situational awareness tasks and the subjective evaluation results to quantify the personnel situation awareness, thereby obtaining single task and single dimension evaluation result of one of the situational awareness tasks, calculating a single task evaluation result by weighting respective single task and single dimension evaluation results, and calculating a total task evaluation result, wherein:

obtaining the single task and single dimension evaluation result is performed according to a formula:

ED =(Σ a·ESD )+ b 1

wherein ED is the single task and single dimension evaluation result, a is a weight of each dimension of each task, ESD is an indicator of each task dimension, and b1 is an intercept;

calculating the single task evaluation result is performed according to a formula:

ET =(Σ w·ED )+ b 2

wherein ET is the single task evaluation result, w is a weight of each task, ED is the single task and single dimension evaluation result, and b2 is a second intercept;

calculating the total task evaluation result is performed according to a formula:

E =(Σ z·ET )+ b 3

wherein E is the total task evaluation result, z is a second weight of each task, ET is the single task evaluation result, and b3 is a third intercept;

converting the single task evaluation result or the total task evaluation result into a T-score having a normal distribution with a mean of 50 and a standard deviation of 10; and

determining whether the personnel needs situational awareness training according to the single task evaluation result or the total task evaluation result, and after each personnel situational awareness training is completed, reviewing the personnel situational awareness training by comparing the single task evaluation result or the total task evaluation result of a plurality of historical moments, comprising: reviewing the personnel situational awareness training by calculating a training result comparison moment-on-moment with a formula of:

C

=

(

E

i

-

E

i

-

1

)

/

E

i

-

1

*

100

%

wherein C represents a training evaluation result comparison moment-on-moment for each task or total tasks that quantifies changes in results of the personnel situational awareness training,

E

i

 is a training evaluation result or each task or a total task for an i-th training obtained through the multiple regression analysis.

2 . The method according to claim 1 , wherein the obtaining the situational awareness tasks constructed under the situational awareness scene comprises, in the situational awareness scene, importing the situational awareness tasks, or customizing the situational awareness tasks, or importing a behavioral paradigm that contains the situational awareness scene.

3 . The method according to claim 2 , wherein the customizing the situational awareness tasks comprises a full task setting and a single task setting; the full task setting comprises setting all of the situational awareness tasks at a freezing time point, and the single task setting comprises setting one of the situational awareness tasks at the freezing time point; and wherein, the freezing time point is a time point at which the situational awareness scene is paused for customizing the situational awareness tasks, and a number of the freezing time points is set to be one or more.

4 . The method according to claim 1 , wherein,

the perception task comprises perceiving information of the situational awareness scene, and recording an initial state of the information of the situational awareness scene at a time of setting the perception task;

the comprehension task comprises comprehending the information of the situational awareness scene, and recording a correct option by obtaining a selection of custom setup question options at a time of setting the comprehension task;

the prediction task comprises predicting the information of the situational awareness scene at a future moment and recording the information of the situational awareness scene at the future moment; and

the decision task comprises making a decision for the information of the situational awareness scene and making a selection based on customized decisions.

5 . The method according to claim 1 , wherein the method further comprises:

inputting the situational awareness scene containing the situational awareness tasks as an input layer into a situational awareness task decision model, and outputting an optimal decision of the situational awareness tasks.

6 . The method according to claim 5 , wherein before performing the personnel situational awareness training, the method further comprises obtaining a frequency of the personnel situational awareness training; and

wherein the method further comprises grading the total task evaluation result and performing the personnel situational awareness training for the personnel below a preset level.

7 . The method according to claim 1 , wherein,

the reviewing the personnel situational awareness training by comparing the single task evaluation result or the total task evaluation result at the plurality of historical moments further comprises: reviewing the personnel situational awareness training by calculating a linear regression coefficient based on the training evaluation result comparison moment-on-moment for each task or the total task by using an univariate linear regression equation, represented by a formula:

E ′=(Σ z′·ET ′)+ b′;

wherein E′ is a dependent variable, which represents a target to be trained, z′ is the linear regression coefficient which represents training effect, ET′ is the single task evaluation result obtained from each training, and b′ is a fourth intercept.

8 . A system for assessing and training personnel situational awareness, comprising: a processor and a memory, wherein the memory is configured to store computer instructions, the processor is configured to execute the computer instructions stored in the memory, and the system is configured to implement the method according to claim 1 when the computer instructions are executed by the processor.

9 . A non-transitory computer-readable storage medium with a computer program stored thereon, wherein the computer program is configured to be executed by a processor to implement the method according to claim 1 .