Interactive Talk Game Scoring With Expectation-Rate Matching
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Solution Overview
Problem
Existing talk game systems face issues with tied first-place winners, adverse selection, collusion, and user confusion due to limited scoring stages and reliance on majority voting, leading to unreliable results and reduced engagement.
Innovation Solution
A talk game system that calculates a composition rate for user answers and adjusts scores based on the difference between the expecting rate and composition rate, preventing collusion and promoting accurate reflection of individual opinions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If majority voting is used to determine correct answers, then the system is simple to operate, but the results become unreliable due to tied scores and collusion
Solution Approach 1:
The system changes the scoring parameter from binary correct/incorrect to a continuous scale based on how close the user's expecting rate matches the actual composition rate. Scores are calculated as: correct answer score × (1 - |expecting rate - composition rate|), creating a gradient scoring system that resolves ties and discourages collusion by rewarding accurate predictions rather than just majority agreement
Solution Approach 2:
The system provides feedback by revealing the actual composition rate to users after they submit their expecting rates. This feedback mechanism allows users to understand the accuracy of their predictions and adjusts subsequent scoring based on the deviation between expected and actual composition rates, improving reliability through iterative learning
2Device complexity
If limited scoring stages are used, then the game structure is simple, but adverse selection and collusion occur reducing engagement
Solution Approach 1:
The system implements dynamic scoring that adapts based on the deviation between expecting rate and composition rate. Rather than fixed scoring stages, the score dynamically adjusts according to prediction accuracy: Score = Base Score × (1 - |Expecting Rate - Composition Rate|). This dynamic mechanism prevents adverse selection and collusion by making it impossible to guarantee scores through coordinated voting, thereby maintaining engagement and fairness
3Reliability
If expecting rate input is required, then collusion is discouraged, but user confusion increases due to complex input requirements
Solution Approach 1:
The system performs preliminary action by providing multiple-choice options to users before they input their expecting rates. Users first select from predefined answer options, then input their expecting rate as a percentage. This preliminary structuring of choices reduces cognitive load and user confusion while still requiring meaningful prediction input that discourages collusion
Solution Approach 2:
The system applies local quality by differentiating the input requirements based on the answer type. For multiple-choice questions, users select from predefined options with associated expecting rates. For open-ended questions, users provide free-text answers with expecting rates. This localized adaptation of input methods maintains reliability while improving ease of operation for different question formats
Data Source
AI summary
Disclosed are an online talk game method and system in which a plurality of users interacts and match composition rates by sharing opinions. A server unit announces a talk topic and receives and announces opinions of the users. The server unit receives the user's answer to the question and the expecting rate, calculates the composition rate of the answer, and determines that the smaller a difference between the composition rate and the user's expecting rate, the more advantageous it is, and the larger the difference, the more disadvantageous it is. This talk game can provide an interactive game that allows users to become immersed when a large number of users participate in the talk game, and prevent many ties, prevent collusion between the users, and reduce user confusion.