Emotion-Aware Question Timing via Biometric State Detection
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Solution Overview
Problem
Existing questioning systems often receive inaccurate or undesired answers due to the timing of questioning, which can be influenced by a person's emotional state or situational context, leading to suboptimal responses.
Innovation Solution
A computer-implemented method that retrieves biometric data from sensors to determine a person's emotional state and compares it to question information to determine the most suitable time for asking a question, optimizing the likelihood of receiving a desired answer by considering the person's state of mind.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If questions are asked at random times, then the questioning system is simple and easy to operate, but the accuracy and quality of responses deteriorate due to inappropriate timing
Solution Approach 1:
The system performs preliminary assessment of the user's emotional state and situational context before asking a question. Biometric data is collected and analyzed in advance to determine the optimal timing for questioning, ensuring the user is in an appropriate state to provide accurate responses.
Solution Approach 2:
The system continuously monitors user responses and adjusts future questioning timing based on feedback. By analyzing whether previous questions were answered accurately and how the user responded, the system refines its algorithm for determining optimal questioning moments, improving response accuracy over time.
2Reliability
If questions are asked based on emotional state monitoring, then response quality improves, but the system complexity and data processing requirements increase
Solution Approach 1:
The system uses multi-functional sensors to collect various types of biometric data (heart rate, skin conductance, body temperature, movement) that can indicate emotional states. These same sensors also detect situational context information, allowing the system to serve multiple assessment functions with a single integrated approach.
Solution Approach 2:
The system monitors changes in physiological parameters over time to detect emotional state transitions. By tracking dynamic parameter changes rather than absolute values, the system can reliably identify when a user is in an appropriate state for questioning based on the trajectory and pattern of physiological data.
3Loss of time
If the system monitors biometric data continuously, then timing accuracy is improved, but energy consumption and data processing load increase
Solution Approach 1:
Instead of continuous monitoring, the system employs periodic sampling of biometric data at strategically determined intervals. The monitoring frequency is adjusted based on the user's activity level and emotional state volatility, collecting data more frequently when emotional states are likely to change and less frequently when stable, thereby reducing overall energy consumption while maintaining timing accuracy.
Data Source
AI summary
A computer-implemented method includes: retrieving, by a computer device, data related to a person, the data being retrieved from sensors that collect the data; determining, by the computer device, an emotional state of the person based on the data; comparing, by the computer device, question information of a question to the emotional state; and determining, by the computer device, if a particular time is a preferred time to ask the user the question based on the results of the comparing.