Adaptive Meeting Questioning for Information Quality Evaluation
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Solution Overview
Problem
Existing systems struggle to ask questions during meetings at an appropriate timing, making it difficult to effectively evaluate the quality of information delivery from participants.
Innovation Solution
A computer system that manages an ending condition based on the satisfaction status of evaluation items, generating questions and ending the evaluation process when the condition is met, and providing additional questions when necessary to ensure comprehensive information acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the meeting system asks multiple questions to comprehensively evaluate the participant, then the evaluation quality improves, but the meeting time increases
Solution Approach 1:
The system continuously monitors the satisfaction status of evaluation items during the meeting and uses this feedback to dynamically determine when to end the questioning. The ending condition is satisfied when all evaluation items reach a predetermined satisfaction status, allowing the system to balance comprehensive evaluation with time efficiency through real-time feedback mechanisms.
Solution Approach 2:
The meeting system dynamically adjusts the questioning process based on the satisfaction status of evaluation items. Rather than following a fixed questioning schedule, the system adapts the number and type of questions asked based on real-time evaluation of participant responses, enabling flexible time management while maintaining evaluation quality.
2Loss of time
If the system ends the questioning early to save time, then the meeting time decreases, but the evaluation completeness deteriorates
Solution Approach 1:
The system uses feedback from evaluating the satisfaction status of each evaluation item to determine when to end the questioning. This ensures that questioning continues only as long as necessary to achieve adequate evaluation coverage, preventing both premature termination and excessive questioning.
Solution Approach 2:
The system establishes predetermined satisfaction thresholds for evaluation items before the meeting begins. These preliminary criteria guide the questioning process, ensuring that the meeting ends at the appropriate point when evaluation completeness is achieved without requiring excessive time.
3Measurement precision
If the system asks follow-up questions to clarify ambiguous answers, then the information accuracy improves, but the number of questions increases
Solution Approach 1:
The system evaluates the satisfaction status of evaluation items based on participant responses and automatically determines whether follow-up questions are needed. This feedback-driven approach ensures that clarifying questions are asked only when necessary to achieve adequate information accuracy, rather than following a predetermined rigid questioning sequence.
Data Source
AI summary
A computer system manages an ending condition that is set based on a satisfaction status of each of a plurality of evaluation items for determination of quality of information delivery in an answer to a question. The computer system outputs a first question to a user who is interviewed in a meeting, acquires an answer to the first question from the user, evaluates the satisfaction status of the evaluation items in the answer to the first question, outputs the evaluated satisfaction status as a first evaluation result, determines whether the ending condition is satisfied based on the first evaluation result, generates an additional question to satisfy the evaluation item not satisfied and outputs the additional question to the user when the ending condition is not satisfied, and ends accepting of answer input when the ending condition is satisfied.