Task execution order determination system and task execution method

Abstract

A technique for evaluating human cognitive and motor functions by a plurality of hand movement tasks is disclosed. A task execution method determines the execution order of a plurality of tasks which a test subject is caused to execute to acquire a characteristic quantity. A test subject group task database includes scores given in advance and characteristic quantities obtained from a plurality of tasks stored as past data corresponding to each of a plurality of test subjects. In a storage device, (1) a differentiation precision database for a case in which test subjects are divided into two groups by predetermined threshold value scores differentiated by the characteristic quantities, or (2) an estimation precision database for a case in which a score is estimated using the characteristic quantity for a predetermined score value is prepared for each of the tasks on the basis of the test subject group task database.

1 . A task execution order determination system that performs information processing to specify the execution order of a plurality of types of tasks, the task execution order determination system comprising a processing device and a storage device,
 wherein, with respect to each of the plurality of types of tasks, the storage device stores a task ID identifying the task as well as task execution order data for storing a parameter to determine the execution order of the task,   wherein the processing device specifies the execution order of the task based on the parameter, and   wherein, with respect to each of a plurality of measuring subjects, when a previously given score is associated with the discrimination index obtained from the execution result of the task, and when the plurality of measuring subjects are divided into two groups by a predetermined threshold of the score, the parameter is the predetermined threshold of score at which the discrimination accuracy for discriminating between the two groups by the discrimination index is maximized or above a given level.   
     
     
         2 . The task execution order determination system according to  claim 1 ,
 wherein, with respect to each of the plurality of types of tasks, the task execution order data further stores a discrimination index threshold for discriminating between the two groups by the discrimination index.   
     
     
         3 . The task execution order determination system according to  claim 2 ,
 wherein, with respect to each of the plurality of types of tasks, the task execution order data further stores a direction flag that defines the magnitude relationship of the score corresponding to above and below the discrimination index threshold.   
     
     
         4 . A task execution order determination system that performs information processing to specify the execution order of a plurality of types of tasks, the task execution order determination system comprising a processing device and a storage device,
 wherein, with respect to each of the plurality of types of tasks, the storage device stores a task ID identifying the task, as well as task execution order data for storing a parameter to determine the execution order of the task,   wherein the processing device specifies the execution order of the task based on the parameter, and   wherein, with respect to a plurality of measuring subjects, when a previously given score is associated with the discrimination index obtained from the execution result of the task, and when a model showing the relationship between the score and the discrimination index is defined, the parameter is a value of score at which the deviation from the model of the relationship between the previously given score and the discrimination index is minimized or below a given level.   
     
     
         5 . The task execution order determination system according to  claim 4 ,
 wherein, with respect to each of the plurality of types of tasks, the task execution order data further stores a discrimination index threshold to discriminate between two groups divided by the value of the score as parameter, by the discrimination index.   
     
     
         6 . The task execution order determination system according to  claim 5 ,
 wherein, with respect to each of the plurality of types of tasks, the task execution order data further stores a direction flag that defines the magnitude relationship of the score corresponding to above and below the discrimination index threshold.   
     
     
         7 . A task execution method for determining the execution order of a plurality of tasks that a subject is asked to perform to obtain a characteristic quantity,
 wherein the task execution method is performed by an information processing device including a storage device and a processing device,   wherein, with respect to each of a plurality of subjects, the task execution method uses a subject group task database in which a previously given score and the characteristic quantity obtained by the plurality of tasks are stored as past data,   wherein, based on the subject group task database, for each of the plurality of tasks, the method prepares in the storage device:
 a databased of discrimination accuracy when dividing the subjects into two groups by a predetermined threshold of the score and discriminating between the two groups by the characteristic quantity; or 
 a database of estimation accuracy when estimating the score by the characteristic quantity at the predetermined value of the score, and 
   wherein the processing device performs:   a first step of selecting the predetermined threshold of the score or the predetermined value of score at which the discrimination accuracy or the estimation accuracy is maximized or above a predetermined level, as the optimal score, in each task, based on the database of discrimination accuracy or the database of estimation accuracy;   a second step of selecting a task from the plurality of tasks by referring to the optimal score, and outputting information to perform the task; and   a third step of obtaining results of the determination or results of the estimation by using the characteristic quantity obtained corresponding to the selected task.   
     
     
         8 . The task execution method according to  claim 7 ,
 wherein the score is the score indicating the severity of the subject, and   wherein, in the second step, the processing device selects tasks from the plurality of tasks in order according to the optimal score severity from severe to mild, and outputs information to perform tasks sequentially.   
     
     
         9 . The task execution method according to  claim 7 ,
 wherein, when the task that the given subject is asked to perform and when the score has been associated with the subject, in the second step, referring to the optimal score, the processing device compares the score associated with the subject with the optimal scores of the plurality of tasks, selects a task with the closest optimal score from the plurality of tasks, and outputs information to perform the task.   
     
     
         10 . The task execution method according to  claim 7 ,
 wherein the score is a score indicating the severity of the subject,   wherein when performing the given task as a first task and then selecting a second task to be performed next, the processing device performs in the second step:   comparing the score, which is the result of the discrimination or the result of the estimation by the first task, with the optimal score of the first task;   when the score, which is the result of the determination or the result of the estimation, indicates more severe than the optimal score of the first task, terminating the execution of the task or outputting information to perform the second task indicating that the optimal score is more severe; and   when the score, which is the result of the determination or the result of the estimation, indicates less severe than the optimal score of the first task, outputting information to perform the second task indicating that the optimal score is less severe.   
     
     
         11 . The task execution method according to  claim 7 ,
 wherein a server device and an estimation device are used as the processing device,   wherein the server device performs:   in the first step, generating task execution order data in which the optimal score is associated with each task; and   in second step, outputting information to perform a task by the evaluation device,   wherein the evaluation device includes:   displaying the task on a display screen based on the information to perform the task; and   transmitting measurement data obtained corresponding to the displayed task to the server device, and   wherein the server device obtains the measurement data from the evaluation device, and updates the subject group task database, the database of discrimination accuracy or the database of estimation accuracy, as well as the task execution order data based on the measurement data.   
     
     
         12 . The task execution method according to  claim 11 ,
 wherein the server device generates the task execution order data based on the database of discrimination accuracy,   wherein, with respect to each of the plurality of types of tasks, the task execution order data includes information that identifies the task as well as the optimal score, and   wherein the optimal score is the predetermined threshold of score at which the discrimination accuracy is maximized or above a predetermined level in each task.   
     
     
         13 . The task execution method according to  claim 12 ,
 wherein, with respect to each of the types of tasks, the task execution order data further stores a discrimination index threshold to discriminate between the two groups by the characteristic quantity.   
     
     
         14 . The task execution method according to  claim 11 ,
 wherein the server device generates the task execution order data based on the database of estimation accuracy,   wherein, with respect to each of the plurality of types of tasks, the task execution order data includes information that identifies the task as well as the optimal score, and   wherein the optimum score is the predetermined value of score at which the estimation accuracy is maximized or above a predetermined level in each task.   
     
     
         15 . The task execution method according to  claim 14 ,
 wherein, with respect to the plurality of types of tasks, the task execution order data further stores a discrimination index threshold to discriminate between two groups divided by the predetermined value of score based on the characteristic quantity.