Abstract: A method of identifying dementia is disclosed that includes causing a user terminal to display an N-th screen including a plurality of objects. The user terminal may further display an N+1-th screen with the objects rearranged at positions on the N+1-th screen which are different from positions of the objects included in the N-th screen when an N-th selection input of selecting any one from among the objects included in the N-th screen is received. When an N+1-th selection input for selecting any one from among the objects included in the N+1-th screen is received, a third task of determining whether an answer of the N+1-th selection input is correct is performed based on whether the object selected from the N+1-th selection input is the same as at least one object selected from at least one previous selection input including the N-th selection input.

Abstract: A method for identifying mild cognitive impairment by at least one processor of an apparatus according to some embodiments of the present disclosure is disclosed. the method comprises performing a task of acquiring digital biomarker data for identifying mild cognitive impairment of a user of a user terminal; performing a preliminary task to allow the user to check the task before performing the task; and acquiring gaze information of the user in conjunction with performing the task and the preliminary task; wherein the gaze information is used when determining displayed information in the preliminary task, and used when identifying mild cognitive impairment of the user in the task.

Abstract: Disclosed is a method of identifying, by at least one processor of a device, a cognitive function state of a user. The method may include inputting user information, at least one voice data, and speech time information related to the at least one voice data to a cognitive function state identification model, and identifying a cognitive function state of the user based on first output data that is output by the cognitive function state identification model.

Abstract: Disclosed is a method of identifying, by at least one processor of a device, a cognitive function state of a user. The method may include inputting user information, at least one voice data, and speech time information related to the at least one voice data to a cognitive function state identification model, and identifying a cognitive function state of the user based on first output data that is output by the cognitive function state identification model.

Abstract: Disclosed is a method of identifying dementia by at least one processor of a device. The method may include obtaining content analysis information and voice activity analysis information by using a plurality of first voice data and second voice data which have been obtained by performing a plurality of tasks in a user terminal, and identifying dementia by inputting the content analysis information and the voice activity analysis information to a dementia identification model.