Gaming Device System for Preselected User Marketing Incentives
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Solution Overview
Problem
Existing marketing systems for gaming machines fail to effectively encourage users to continue playing after free credits or play points have been used, as they do not provide sufficient incentive for non-preselected users to maintain engagement.
Innovation Solution
A gaming device system that operates in different modes based on user selection, utilizing a random number generator to determine wins for all users while preselected users receive predetermined payouts, maintaining the illusion of randomness for all users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If free credits or reward points are provided to users, then user engagement is initially improved, but user engagement deteriorates after the free credits are used up
Solution Approach 1:
The system performs preliminary action by identifying preselected users before the gaming session begins and predetermined outcomes are revealed. The random number generator is pre-configured with predetermined outcomes for preselected users, allowing the system to prepare and deliver marketing dollars in advance without the user needing to know their selected status. This resolves the contradiction by establishing the incentive before the user completes the initial play, ensuring continued engagement without relying on post-free-credit rewards.
Solution Approach 2:
The system introduces an intermediary mechanism - the random number generator with predetermined outcomes - that mediates between the operator's marketing objective and the user's perception of fairness. The RNG acts as a mediator that can deliver predetermined wins to preselected users while maintaining the appearance of randomness for all users. This resolves the contradiction by providing a transparent yet biased mechanism that incentivizes continued play without requiring disclosure of user selection status.
2Productivity
If predetermined outcomes are provided to preselected users, then marketing effectiveness is improved, but user trust deteriorates if the predetermined nature is revealed
Solution Approach 1:
The system applies local quality by providing predetermined outcomes only to preselected users while maintaining random outcomes for other users. The random number generator is configured to deliver different types of outcomes based on user selection status, but this differentiation is localized and invisible to the users. Preselected users receive predetermined wins that incentivize continued play, while non-selected users receive random outcomes. This resolves the contradiction by applying selective quality control that achieves marketing effectiveness without requiring users to know their selection status, thereby preserving trust in the system's fairness.
Solution Approach 2:
The system uses copying by creating a virtual copy of the random number generation process that contains predetermined outcomes for preselected users. Instead of directly manipulating the gaming machine's outcome, the system creates a parallel RNG configuration that mirrors the appearance of randomness while embedding predetermined results. This copy allows the system to deliver marketing dollars to preselected users without altering the user's perception of the gaming process, thus maintaining trust while achieving marketing effectiveness.
3Productivity
If the system operates in different modes for preselected and non-preselected users, then marketing targeting is improved, but system complexity increases
Solution Approach 1:
The system achieves universality by implementing a single random number generator that serves multiple functions: it generates predetermined outcomes for preselected users, random outcomes for non-selected users, and maintains the appearance of fairness for all users. The RNG is configured to operate in different modes depending on user selection status, but this is managed through a unified component rather than separate systems. This resolves the contradiction by achieving sophisticated marketing targeting through a multi-functional RNG that handles different user types through a single mechanism, thereby limiting the increase in system complexity.
Data Source
AI summary
A gaming device configured to operate in a marketing mode or a standard gaming mode dependent upon the determination of whether the user is a preselected user or not.


