Gacha Probability Alteration via Relevance Data
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Solution Overview
Problem
Conventional Gacha systems in games do not allow user intention to be reflected in the object awarding process, leading to user frustration with draw results.
Innovation Solution
An information processing system that includes a server capable of communicating with a terminal device, featuring a storage unit, specification instruction accepting unit, probability alteration unit, choosing unit, and object awarding unit, which alters choice probabilities based on user specifications and relevance information, allowing users to influence the outcome of object draws.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional Gacha draw is used with predetermined rules, then the system is simple and easy to operate, but user intention cannot be reflected leading to user frustration
Solution Approach 1:
The system performs preliminary actions by storing relevance information between objects in advance, and when a user specifies an object, the system retrieves and applies this pre-stored relevance data to alter choice probabilities, enabling user intention reflection without complex real-time processing
Solution Approach 2:
Relevance information acts as an intermediary between the specified object and the draw outcome. This intermediary data structure enables the system to translate user specifications into probability alterations without requiring complex direct relationships, thus resolving the contradiction between adaptability and complexity
2Reliability
If choice probability is altered based on user specification, then user satisfaction improves, but the draw system becomes more complex
Solution Approach 1:
The system changes the probability parameter of object selection based on user specifications and pre-stored relevance information. By modifying only the probability parameter rather than the entire draw mechanism, the system improves result satisfaction while maintaining relatively simple system structure
Solution Approach 2:
Relevance information is prepared in advance and stored in the system, allowing probability alterations to be implemented through simple lookups and calculations rather than complex real-time decision-making processes, thus improving reliability without excessive complexity
Data Source
AI summary
An example of an information processing system includes a server capable of communicating with a terminal device. The server stores information representing a choice probability, for each of a plurality of objects in the application, for a draw whereby a user obtains an object. The information processing system accepts an instruction of specifying a relevant object to be associated with the draw. The server alters the choice probability at least for some of the objects depending on the relevant object. In response to a draw instruction, the server chooses at least one object from among the objects that can be obtained through a draw based on the choice probability obtained by altering the choice probability. The server awards one or more of the chosen objects to the user.