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JP-2026076002-A - Mental information input system, program and method

JP2026076002AJP 2026076002 AJP2026076002 AJP 2026076002AJP-2026076002-A

Abstract

[Problem] In cognitive behavioral therapy, which involves recording self-observation based on the actions or manipulations of the person being supported, the aim is to provide a mental information input system, method, and program that enables the interpretation of the person's true feelings and subconscious mind, thereby realizing advanced feedback and behavioral therapy. [Solution] In a cognitive behavioral therapy feedback system, the management server includes an observation record unit 331 which includes a decision operation acquisition unit that acquires actions or operations by the person being supported as an incomplete operation history and input information determined by the actions or operations by the person being supported as a decision operation history; an observation record database 35d which stores self-observation records including the incomplete operation history and the decision operation history; an analysis unit 332 which analyzes the correlation between the behavioral information and cognitive information of the person being supported based on the self-observation records; and a response generation unit which generates response information to be provided to the person being supported according to the analysis results in the correlation feature analysis unit. [Selection Diagram] Figure 2

Inventors

  • 片山 崇

Assignees

  • ライフツービッツ株式会社

Dates

Publication Date
20260511
Application Date
20241023

Claims (12)

  1. A system for inputting mental information, including self-observation records based on the actions or operations of the person receiving support, An incomplete operation acquisition unit that acquires the actions or operations performed by the person receiving support as an incomplete operation history, A decision operation acquisition unit acquires input information determined by the actions or operations of the person receiving support as a decision operation history, An observation record storage unit that stores self-observation records including the incomplete operation history and the decision operation history, Based on the aforementioned self-observation records, a correlation feature analysis unit analyzes the correlation between the behavioral and cognitive information of the person being supported, A mental information input system characterized by comprising a response generation unit that generates response information to be provided to the person to be supported, in accordance with the analysis results in the correlation feature analysis unit.
  2. A comparison unit that compares the incomplete operation history with the decision operation history, A pattern calculation unit analyzes the correlation between the behavioral and cognitive information of the person being supported and the comparison results obtained by the comparison unit, and calculates a characteristic pattern that characterizes the analyzed correlation. A natural language model trained to calculate response information corresponding to the comparison result between the incomplete operation history and the decision operation history and the feature pattern, The mental information input system according to claim 1, further comprising a response request unit that receives the comparison result between the incomplete operation history and the decision operation history and the feature pattern, and generates and executes a prompt for the natural language model to generate the response information.
  3. The system further includes an operation pattern analysis unit that analyzes operation patterns including at least one of the following in the input operations of the person being supported: time delay, frequency of re-entry, occurrence of deletion operations, and time of occurrence. The mental information input system according to claim 1 or 2, characterized in that the response generation unit estimates the potential psychological state of the person to be supported based on the analysis results by the operation pattern analysis unit and determines the content and timing of the response.
  4. In both the incomplete operation history and the decided operation history, the system further includes an operation identification unit that uses a machine learning model to estimate the level of awareness of an operation in order to distinguish between conscious and unconscious operations of the person being supported. A mental information input system according to any one of claims 1 to 3, characterized in that it evaluates the cognitive and emotional tendencies of the person to be supported based on the level of consciousness identified by the operation identification unit.
  5. A program for inputting mental information, including self-observation records based on the actions or actions of the person receiving support, and which uses a computer. An incomplete operation acquisition unit that acquires the actions or operations performed by the person receiving support as an incomplete operation history, A decision operation acquisition unit acquires input information determined by the actions or operations of the person receiving support as a decision operation history, An observation record storage unit that stores self-observation records including the incomplete operation history and the decision operation history, Based on the aforementioned self-observation records, a correlation feature analysis unit analyzes the correlation between the behavioral and cognitive information of the person being supported, A mental information input program characterized by functioning as a response generation unit that generates response information to be provided to the person to be supported, in accordance with the analysis results in the correlation feature analysis unit.
  6. The aforementioned computer, A comparison unit that compares the incomplete operation history with the decision operation history, A pattern calculation unit analyzes the correlation between the behavioral and cognitive information of the person being supported and the comparison results obtained by the comparison unit, and calculates a characteristic pattern that characterizes the analyzed correlation. A natural language model trained to calculate response information corresponding to the comparison result between the incomplete operation history and the decision operation history and the feature pattern, The mental information input program according to claim 5, further functioning as a response request unit that receives the comparison result between the incomplete operation history and the decision operation history and the feature pattern, generates and executes a prompt for the natural language model, and generates the response information.
  7. The aforementioned computer, It will further function as an operation pattern analysis unit that analyzes operation patterns including at least one of the following in the input operations of the person being supported: time delay, frequency of re-entry, occurrence of deletion operations, and time of occurrence. The mental information input program according to claim 5, characterized in that the response generation unit estimates the potential psychological state of the person to be supported and determines the content and timing of the response based on the analysis results by the operation pattern analysis unit.
  8. The aforementioned computer, In both the incomplete operation history and the decided operation history, the operation identification unit further functions as an operation identification unit that estimates the level of awareness of an operation using a machine learning model, in order to distinguish between conscious and unconscious operations of the person being supported. A mental information input program according to any one of the five claims, characterized in that it evaluates the cognitive and emotional tendencies of the person to be supported based on the level of consciousness identified by the operation identification unit.
  9. A method for inputting mental information, including self-observation records based on the actions or actions of the person receiving support, The computer acquires the actions or operations performed by the person being supported as an incomplete operation history, and acquires the input information determined by the actions or operations performed by the person being supported as a determined operation history. An observation record storage step involves storing a self-observation record, including the incomplete operation history and the decision operation history, in an observation record storage unit. The correlation feature analysis unit of the computer analyzes the correlation between the behavioral information and cognitive information of the person being supported, based on the self-observation record, in a correlation feature analysis step. A method for inputting mental information, characterized in that the computer's response generation unit generates response information to be provided to the person to be supported, in accordance with the analysis results in the correlation feature analysis unit.
  10. The pattern calculation unit of the computer analyzes the correlation between the behavioral and cognitive information of the person being supported, based on the comparison result between the incomplete operation history and the decision operation history, and calculates a characteristic pattern that characterizes the analyzed correlation. The mental information input method according to claim 9, further comprising: a response request step in which a natural language model trained to calculate the comparison result between the incomplete operation history and the decision operation history and the feature pattern receives the comparison result between the incomplete operation history and the decision operation history and the feature pattern, and the computer's response request unit generates and executes a prompt for the natural language model to generate response information.
  11. The process further includes an operation pattern analysis step in which the operation pattern analysis unit analyzes operation patterns that include at least one of the following in the user's input operations: time delay, frequency of re-entry, occurrence of deletion operations, or time period of occurrence. The mental information input method according to claim 9, characterized in that the response generation step estimates the potential psychological state of the person to be supported based on the analysis results by the operation pattern analysis unit and determines the content and timing of the response.
  12. In both the incomplete operation history and the decided operation history, the computer's operation identification unit further includes an operation identification step in which it estimates the level of awareness of an operation using a machine learning model in order to distinguish between conscious and unconscious operations of the person being supported. The mental information input method according to claim 9, characterized in that the cognitive and emotional tendencies of the person to be supported are evaluated based on the level of consciousness identified in the operation identification step.

Description

This invention relates to a mental information input system, program, and method for clients to record self-observation in psychotherapies or psychological therapies such as cognitive behavioral therapy and behavioral therapy. In recent years, self-monitoring has been proposed as a management technique used in psychotherapies such as cognitive behavioral therapy and behavioral therapy. Self-monitoring allows individuals to record their actions and activities, which can help reinforce desired behaviors and increase their motivation. Cognitive Behavioral Therapy (CBT) is a scientific treatment method that systematically improves problematic behaviors and symptoms using behavioral therapy techniques based on learning theory and cognitive approaches based on cognitive therapy or rational emotive behavior therapy. In CBT treatment, the goal is for the client to be able to self-care for their problems and symptoms. The therapist and client share the problem, collaboratively set therapeutic goals, and work together to resolve the issue. Incidentally, in recent years, services and systems have been developed to support self-monitoring for cognitive behavioral therapy via communication networks (see Patent Document 1). This system conducts behavioral therapy based on behavioral records, such as text, entered by the client themselves. Shinichi Suzuki, Hiroaki Kumano, and Yuji Sakano, "Cognitive Behavioral Therapy," 1999, http://hikumano.umin.ac.jp/cbt_text.htmlJapanese Patent Publication No. 2021-015466 This is an explanatory diagram conceptually showing the overall configuration of the cognitive behavioral therapy feedback system S according to the embodiment.This is a block diagram showing the internal configuration of the management server 3 according to the embodiment.This is a block diagram showing the configuration of the analysis unit within the management server 3 according to the embodiment.This is a block diagram showing the configuration of the feedback processing unit within the management server 3 according to the embodiment.This is a block diagram showing the internal configuration of a client's smartphone 1 according to an embodiment.This is a flowchart illustrating the overall operation of the cognitive behavioral therapy feedback system according to the embodiment.This flowchart illustrates the operation of the cognitive behavioral therapy feedback system according to the embodiment during feedback execution (self-counseling mode).This is an explanatory diagram illustrating the situation in which user operations according to the embodiment are monitored.This is an explanatory diagram showing the analysis status obtained by monitoring incomplete and decided user operations according to the embodiment.This is an explanatory diagram showing the response selection pattern according to the embodiment. The following describes in detail embodiments of the mental information input system, method, and program of the present invention applied to a cognitive behavioral therapy feedback system S, with reference to the attached drawings. It should be noted that the present invention is not limited to the embodiments described above, and the components can be modified and implemented in practice without departing from the gist of the invention. Furthermore, various inventions can be formed by appropriate combinations of the multiple components disclosed in the above embodiments. For example, some components may be deleted from all the components shown in the embodiments. In this embodiment, the mental information input system, method, and program of the present invention are described as being applied to cognitive behavioral therapy, but the present invention is not limited to this. The present invention can be applied not only to psychotherapies such as cognitive behavioral therapy, but also to fields such as mental care and learning support in companies, educational institutions, and other non-medical environments. For example, it is useful in general mental care, learning support, mental care for students in educational institutions, psychological support for employees within companies, and improving mental health in the workplace environment. (Overview of Cognitive Behavioral Therapy) In the cognitive behavioral therapy according to this embodiment, the goal is for the client, who is the recipient of support, to be able to self-care for their problems and symptoms. The therapist and the client share the problems, and together they set therapeutic goals and work to solve the problems. In this embodiment of cognitive behavioral therapy, self-monitoring is performed through a dedicated application on the client's smartphone. Through this self-monitoring, the client records their own actions and events, as well as their thoughts, reflections, and insights regarding those actions and events, recording them as mental information, including "automatic thoughts." This employs cognitive behavioral therapy and cognitive