Skill-Based Game Scoring System for Poker Training
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Solution Overview
Problem
Existing poker games on mobile devices lack a comprehensive mechanism to teach and evaluate players' skills in reading opponents' characters and behaviors, leading to superficial gameplay and lack of skill development, as they often prioritize chance over strategic decision-making.
Innovation Solution
A system that uses expert-authored scenarios and pre-programmed opponent behaviors to evaluate players' decisions, awarding points for skillful moves independently of chip winnings, allowing players to focus on strategic thinking and learning without the need for extensive attention or observation of opponents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional poker games are played on mobile devices, then players can enjoy the game with minimal attention, but skill development and strategic decision-making are insufficient
Solution Approach 1:
The game is divided into multiple hands, each with pre-programmed scenarios and expert-authored situations. Players progress through segmented learning modules that build skill progressively while maintaining ease of play through automated opponent behaviors and structured decision points.
Solution Approach 2:
Opponent behaviors and game scenarios are pre-programmed by experts before play begins. This allows players to focus on making strategic decisions without needing to observe or analyze opponents in real-time, while still receiving structured learning opportunities through pre-designed skill-building situations.
2Reliability
If players must observe and analyze opponents extensively to develop reading skills, then strategic decision-making improves, but time investment and attention requirements increase
Solution Approach 1:
Opponent characterizations and behavioral patterns are pre-programmed by experts before the game starts. Players receive this strategic information in advance through the interface, eliminating the need for extensive real-time observation while still developing reading skills through structured interaction with pre-defined opponent types.
Solution Approach 2:
The system provides immediate feedback on player decisions by comparing them against expert-authored scenarios and pre-programmed opponent responses. This feedback mechanism reinforces strategic decision-making without requiring players to spend additional time analyzing opponents, as the learning is built into the game flow itself.
3Productivity
If chip winnings are the primary reward, then players focus on maximizing payouts, but skillful decision-making may be overlooked due to luck-based outcomes
Solution Approach 1:
The system implements dual feedback: chip winnings provide traditional game feedback, while separate skill evaluation feedback indicates how well player decisions aligned with expert-authored scenarios. This dual feedback system ensures that skillful decision-making is recognized and rewarded independently of luck-based chip outcomes.
Solution Approach 2:
Different aspects of the game have different reward qualities: chip winnings represent the game outcome (influenced by luck), while skill points or evaluation feedback represent decision quality (based on skill). This local differentiation allows players to focus on skill development without sacrificing the traditional payout motivation.
Data Source
AI summary
An electronic game wherein the user accumulates score which is based upon the appropriateness of the user's moves, regardless of whether the move resulted in a win or lose situation for the user. This approach provides the user with enjoyment of playing the game, but also focuses the user to learn how to make proper moves that would ultimately result in better skills in playing the game. One specific example relates to poker, wherein the user collects chips based upon winning or losing a hand, but at each decision round of playing the hand the user is awarded ProCoins based upon the appropriateness of the user's actions. The user is provided with feedback based upon the user's decisions, rather than based upon winning or losing a hand.