Automated Diary Generation from Usage History and Mental State
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Solution Overview
Problem
Patients with mental illnesses, such as gambling addiction, find it difficult to maintain a diary consistently, leading to a high likelihood of frustration.
Innovation Solution
A diary generation system that identifies user activities from device usage history, determines activity importance, and generates sentences based on a predetermined rule, psychological state, and biological information to create a diary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If patients manually keep a diary for mental illness treatment, then the diary can capture detailed personal reflections and activities, but the difficulty of continuous maintenance increases and frustration likelihood rises
Solution Approach 1:
The system automatically generates diary entries by extracting activity information from terminal device usage history without requiring manual input from patients. The control unit identifies activities, determines importance, generates sentences, and creates diary entries autonomously, allowing the system to serve itself rather than requiring continuous patient effort
Solution Approach 2:
The patent replaces the manual mechanical process of writing diaries with an automated information processing system. The control unit uses algorithms to identify activities from usage logs, determine their importance based on predefined criteria, generate descriptive sentences, and assemble diary entries automatically, substituting human effort with computational processes
2Reliability
If the diary includes detailed activity descriptions and psychological state analysis, then the treatment effectiveness improves, but the complexity of diary generation increases
Solution Approach 1:
The diary generation process is divided into distinct functional modules: activity identification from usage history, importance determination based on predefined criteria, psychological state specification from biological information, sentence generation for each activity, and final diary assembly. This segmentation allows each module to be independently optimized and managed
Solution Approach 2:
The system dynamically adjusts the importance level of different activities based on predefined importance tables that categorize activities by their relevance to treatment goals. Biological information parameters are analyzed to determine psychological states, and sentence generation parameters are modified based on activity importance and psychological state, creating a flexible yet structured generation process
3Measurement precision
If the system processes biological information and usage history to generate personalized diary entries, then the psychological state specification accuracy improves, but the data processing time increases
Solution Approach 1:
The system performs preliminary processing by pre-categorizing usage history into activity types and pre-establishing importance tables that define the significance of different activities. Biological information parameters are pre-analyzed to determine psychological states before sentence generation begins, allowing the main diary generation process to proceed efficiently with pre-computed information
Data Source
AI summary
The present invention makes it easy to generate a diary. In a diary generation system (1), a terminal device (3) transmits a diary creation request including usage history of the terminal device (3) to a server device (4) via a network (N). In response to receiving the diary creation request transmitted from the terminal device (3) via the network (N), the server device (4) identifies a user's activities from the usage history of the terminal device (3) included in the diary creation request. The server device (4) then writes sentences in a prescribed order to generate a diary, and causes, via the network (N), the terminal device (3) to display the diary.