Psychological State Estimation via Behavior Data

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Solution Overview

Problem

Existing psychological state estimation systems face challenges in accurately and easily tracking behavior change stages, particularly in the precontemplation, contemplation, and maintenance periods, due to the need for frequent questionnaires and limited phase definitions, which increases workload and reduces accuracy.

Innovation Solution

A psychological state estimation system that estimates motivation, behavior change stage, and self-efficacy data based on time-series behavior data, using a server and user terminal configuration to analyze service operation and behavior implementation data, allowing for more frequent and accurate assessments without the need for frequent questionnaires.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If frequent questionnaires are conducted to accurately estimate psychological state, then measurement precision is improved, but ease of operation deteriorates due to increased user workload

Engineering Contradiction:

Improveaccuracy of psychological state estimationVSAvoiduser workload

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The patent replaces the mechanical system of manual questionnaire completion with an automated sensing system that collects behavior data through sensors, devices, and systems. This substitution eliminates the need for users to manually fill out frequent questionnaires while maintaining accurate psychological state estimation through objective behavior data collection.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by automatically collecting and analyzing behavior data without requiring active user participation. The sensing system continuously monitors behavior patterns and the estimation unit automatically processes this data to determine psychological states, freeing users from the burden of frequent questionnaire completion.

Inventive Principle:

Principle #25Self-service

2Measurement precision

If behavior change stages are divided into detailed phases to improve intervention accuracy, then measurement precision is improved, but device complexity increases

Engineering Contradiction:

Improveaccuracy of behavior change stage detectionVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the behavior change process into five distinct stages (precontemplation, contemplation, preparation, action, and maintenance) based on the Transtheoretical Model. This segmentation allows for precise identification of each stage through automated analysis of behavior data, enabling tailored interventions for each specific phase without requiring complex manual assessment procedures.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an estimation unit as an intermediary that automatically analyzes behavior data and determines psychological states and behavior change stages. This intermediary component simplifies the overall system by centralizing the complex analysis function, eliminating the need for multiple separate assessment tools while maintaining high measurement precision.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250098998A1Psychological state estimation system, psychological state estimation method, non-transitory computer readable storage medium

Publication Date: 2025.03.27 OKI ELECTRIC INDUSTRY CO LTD

AI summary

To acquiring the subject's psychological progress related to the behavior change more easily and accurately. A psychological state estimation system includes an estimation unit configured to estimate, as psychological state data of a subject, at least one of motivation data, behavior change stage data, and self-efficacy data that are related to object behavior of the subject, on the basis of behavior data of the subject along time series.