Conversation Information Output System for User Empowerment
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Solution Overview
Problem
Existing systems for empowerment through conversation only consider empowerment parameters and fail to account for other influencing parameters like continuity parameters, limiting the effectiveness of intellectual ability and mental status improvement.
Innovation Solution
A system that includes a computer with a processor and interface, measuring multiple types of signals to calculate conversation parameters of various attributes, selecting conversation information based on these parameters, and outputting it to the user to optimize empowerment effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conversation information is selected only on the basis of empowerment parameters, then the system can simplify the selection process, but the empowerment effect is limited because influence from continuity parameters is not taken into consideration
Solution Approach 1:
The system changes from considering only empowerment parameters to considering both empowerment parameters and continuity parameters. The processor calculates multiple types of parameters (empowerment parameters evaluating intellectual ability and mental status, and continuity parameters evaluating continuation desire) and selectively uses appropriate parameters based on the current situation to determine conversation information, thereby improving empowerment effectiveness.
2Reliability
If multiple types of signals are measured and multiple conversation parameters are calculated, then the system can improve empowerment effectiveness, but the system complexity increases
Solution Approach 1:
The system segments parameters into different categories: empowerment parameters (evaluating intellectual ability and mental status) and continuity parameters (evaluating continuation desire such as attentional state and motivation). This segmentation allows the system to measure multiple types of signals and calculate multiple conversation parameters in an organized manner, improving empowerment effectiveness while managing system complexity through structured parameter classification.
3Productivity
If the system selectively determines conversation information based on multiple parameter attributes, then optimal conversation information can be presented, but the processing time and computational load increase
Solution Approach 1:
The system dynamically selects which parameters to use based on the current situation. The processor calculates both empowerment parameters and continuity parameters, then selectively determines conversation information by choosing the appropriate parameter type according to the user's current state and the conversation context. This dynamic parameter selection allows the system to present optimal conversation information while managing processing time and computational load.
Data Source
AI summary
There is provided a system in which empowerment is performed by outputting conversation information to the user, the system including: a computer including a processor, a memory, and an interface; and a measuring device that measures signals of a plurality of types, wherein the processor calculates values of conversation parameters of a plurality of attributes for evaluating a state of a user who performs the empowerment on the basis of a plurality of signals measured by the measuring device, the processor selects a selection parameter which is a conversation parameter of a change target on the basis of the values of the conversation parameters of the plurality of attributes, the processor decides conversation information for changing a value of the selection parameter, and the processor outputs the decided conversation information to the user.